What Sales Analytics Jobs are in India?

**Make an impact with NTT DATA**
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Your day at NTT DATA**
The Senior Sales Analytics Specialist is an advanced subject matter expert, accountable for driving the success of sales operations through comprehensive data analysis, valuable insights, and strategic decision support.
This role operates within a multifaceted environment, encompassing various sales analytics domains, and involves collaborating with cross-functional teams.
The primary responsibility of the Senior Sales Analytics Specialist is to provide data-driven support for business planning and strategic decision-making by leveraging a deep understanding of the business context.
**Key responsibilities:**
+ Accountable for driving tactical and strategic projects with cross-functional virtual teams to achieve specific business objectives.
+ Responsible for analyzing complex business problems and issues using internal and external data to provide insights to decision-makers. Identifies and interpret trends and patterns in relevant datasets to locate influences and proactively identify meaningful quantitative analysis for distribution to business stakeholders to inform business decisions.
+ Creates documented specifications for reports and analysis based on business needs and required or available data elements.
+ Defines, develops, enhances, and tracks metrics and dashboard requirements to deliver results and provide insight and recommendations on trends.
+ Responsible for data validation using advanced data analysis and tools to ensure analytics are valid, meaningful, and provide actionable and comprehensive insights.
+ Accountable for strategic decision support to help the team answer strategic questions, make insightful data-driven business decisions, and properly design new initiatives.
+ Provides technical advice, consultation, and knowledge to others within the relevant teams.
+ Creates relevant reports and present on trends to convey actionable insights to stakeholders.
+ Performs any other related task as required.
**To thrive in this role, you need to have:**
+ Advanced understanding of advanced data analysis techniques, and the ability to uncover strategic insights from data.
+ Advanced understanding of the business's sales objectives, market dynamics, and industry trends, with the ability to align data analysis with strategic objectives.
+ Advanced collaboration skills, enabling effective teamwork with cross-functional teams and senior management.
+ Advanced ability to translate complex data insights into actionable, understandable strategies for non-technical stakeholders.
+ Excellent communication and presentation skills to convey complex data findings in a clear and actionable manner to non-technical stakeholders.
+ Advanced understanding of data analysis tools including advanced Excel, advanced PowerBI, and at least one relevant coding language (for example DAX, R, Python etc.).
+ Advanced understanding of Structured Query Language for managing and querying relational databases.
+ Advanced knowledge of techniques for transforming and structuring data for analysis and knowledge of ETL processes for data extraction and transformation.
+ Advanced understanding of data security and privacy best practices, especially if working with sensitive or sensitive data.
+ Advanced understanding of the business domain, industry, and the ability to translate data insights into actionable business recommendations.
**Academic qualifications and certifications:**
+ Bachelor's degree or equivalent in Data Science or related field.
+ Relevant sales analytics certifications desirable.
**Required experience:**
+ Advanced demonstrated experience in a sales or marketing function as a data analyst.
+ Advanced demonstrated experience in using PowerBI, statistical and quantitative analysis techniques, data visualizations, data analysis.
+ Advanced proven track record in creating and optimizing reports and dashboards that contribute to strategic decision support.
+ Advanced proven experience in providing data-driven support for business planning and strategic decision-making.
**Workplace type** **:**
Remote Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.

**Make an impact with NTT DATA**
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion - it's a place where you can grow, belong and thrive.
**Key Responsibilities**
**Sales & Revenue Analytics Strategy**
Lead and evolve the analytics strategy across the sales funnel - including pipeline generation, conversion, and revenue realization. Drive insights into coverage effectiveness, lead velocity, stage transitions, slippage, and win/loss trends to uncover performance levers.
**Forecasting & Predictive Modelling**
Develop and maintain AI-driven models for revenue forecasting, win probability scoring, lead-to-deal conversion, and risk identification. Use forward-looking analytics to anticipate performance shifts and recommend data-backed actions.
**Sales Growth Levers**
Collaborate with sales leaders and account teams to identify whitespace and pipeline opportunities through data. Use analytics to guide where and how sales can be accelerated through smarter prioritization, focus areas, and targeting strategies - without anchoring on vertical-specific GTM plans.
**Sales Strategy Alignment**
Support commercial leaders by benchmarking key sales metrics (pipeline velocity, coverage ratios, funnel hygiene) and providing insights that guide initiatives like territory design, account coverage models, and productivity enhancement - framed through a data-first lens.
**Stakeholder Engagement**
Collaborate with senior stakeholders - including sales executives, operations leads, and business unit heads - to deliver analytics-driven insights and support strategic decision-making through dashboards, briefings, and scenario-based analytics.
**Qualifications**
- 5-7 years of experience in sales analytics, forecasting, or commercial insights for IT services or B2B enterprise sales
- Tier 1 consulting experience (e.g., McKinsey, BCG, Bain) with a focus on analytics-led sales or GTM transformation
- Hands-on proficiency in Excel and visualization tools (Power BI/Tableau); experience with Python, R, or Alteryx is a plus
- Experience with CRM and pipeline systems (e.g., Salesforce)
- Excellent business storytelling and analytical synthesis skills
**Workplace type** **:**
Remote Working
**About NTT DATA**
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
**Equal Opportunity Employer**
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
**Third parties fraudulently posing as NTT DATA recruiters**
NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters-whether in writing or by phone-in order to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will come from an **@nttdata.com** email address. If you suspect any fraudulent activity, please contact us ( ) .

About **Zscaler**
Zscaler accelerates digital transformation to ensure our customers can be more agile, efficient, resilient, and secure. As an **AI-forward enterprise** , we are constantly pushing the envelope, leveraging the world's largest security data lake to power our cloud-native Zero Trust Exchange platform. This innovation protects our customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location.
Here, **impact in your role matters more than title** and trust is built on results. We say, impact over activity. We seek innovators who actively use AI to amplify their impact and who thrive in an environment where we leverage intelligent systems to stay ahead of evolving threats. We believe in transparency and value **constructive, honest debate** -we're focused on getting to the best ideas, faster. We build high-performing teams that can make an impact quickly and with high quality. To do this, we are building a culture of execution centered on **customer obsession** , collaboration, ownership, and accountability.
We value high-impact, high-accountability with a sense of urgency where you're enabled to do your best work and embrace your potential. If you're driven by purpose, thrive on solving complex challenges, and want to be part of the team that's helping to secure the AI age, we invite you to bring your talents to Zscaler and help shape the future of cybersecurity.
**Role**
We are looking for a GTM AI Manager, Sales Analytics to join our team. This is a Bangalore role, reporting to the Sr. Director, GTM Operations in the Sales BI & Analytics department. In this role, you will solve complex business problems using data to drive the growth of the organization across sales and related functions. You will leverage advanced analytics, Python, Snowflake, and cutting-edge Generative AI tools to transform raw data into actionable strategic insights.
**What you'll do (Role Expectations)**
+ Collaborate with internal stakeholders to understand business challenges and develop analytical solutions to positively impact business performance
+ Drive Generative AI initiatives by utilizing generative AI tools and techniques to design, prototype, and implement solutions using large language models and existing AI tooling
+ Utilize prompt engineering to craft, optimize, and test effective prompts for large language model tools to maximize outputs and insights for business applications
+ Develop and optimize AI agents capable of assisting with decision-making such as in chatbots or enhancing operational efficiency within sales and related functions
+ Evaluate options regarding appropriate modeling techniques or algorithms and present complex data in an uncomplicated, easy-to-understand way to drive action
**Who You Are (Success Profile)**
+ You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
+ You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
+ You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
+ You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback-knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
+ You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.
**What We're Looking for (Minimum Qualifications)**
+ Foundational understanding of AI/ML technologies and experience leveraging, securing, or positioning AI-driven solutions to optimize outcomes within your functional domain
+ Hands-on experience in advanced statistical analysis, constructing complex statistical models, and working with large language models like OpenAI or Anthropic along with relevant frameworks
+ Proven experience building, deploying, and managing AI agents or autonomous applications designed to handle tasks such as chatbots or workflow automation
+ Proficiency in Python, relevant machine learning libraries such as PyTorch, TensorFlow, or Scikit-learn, and using SQL to build data models via ETL tools like DBT
+ Ability to drive analytics solutions in a multi-disciplinary environment while managing multiple concurrent projects and collaborating with diverse internal teams
**What Will Make You Stand Out (Preferred Qualifications)**
+ Experience fine-tuning open-source large language models or implementing advanced retrieval-augmented generation pipelines specifically tailored to optimize sales operations metrics and forecasting
+ Advanced experience leveraging Snowflake and Salesforce.com to deliver predictive intelligence for enterprise sales pipelines
+ Demonstrated capability in translating complex data models into clear, actionable strategic roadmaps for executive leadership
\#LI-Hybrid #LI-VV3
At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.
Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:
+ Various health plans
+ Time off plans for vacation and sick time
+ Parental leave options
+ Retirement options
+ Education reimbursement
+ In-office perks, and more!
Learn more about Zscaler's hybrid working model and benefits here ( .
By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.
Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. _See more information by clicking on the_ Know Your Rights: Workplace Discrimination is Illegal ( _link._
Pay Transparency
Zscaler complies with all applicable federal, state, and local pay transparency rules.
Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Description
Amazon is looking for a motivated individual with strong database, analytical skills and technology experience to join the DIGI (Ad Sales Finance analytics ) team. In this position the successful candidate will be responsible for partnering with Finance and Business leaders to expand and optimize data infrastructure that supports weekly, monthly, quarterly and annual for the Display Ads Finance group and our stakeholders
Key job responsibilities
- Owning the design, operations and improvements for the Organizations Datawarehouse infrastructure
- Maintain, improve and manage all ETL pipelines and clusters
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
- Define metrics and KPIs to measure success of strategic initiatives and report on their progress
- Develop relationships and processes with finance, sales, business operations, solution delivery team, partner, BD, and other cross-functional stakeholders
- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
- Collaborate with data scientists, BIEs and BAs to deliver high quality data architecture and pipelines.
- Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns.
A day in the life
In this position the successful candidate will be responsible for partnering with Finance and Business leaders to expand and optimize data infrastructure that supports weekly, monthly, quarterly and annual for the Display Ads Finance group and our stakeholders. They will work on building GenAI capabilities and GenAI-ready data layer for automating insights generation and solving analytical problems across the Ad Sales FInance org.
About the team
The Advertising Sales Finance Analytics & FP&A team's responsibilities comprise of corporate reporting, planning, Headcount & OpEx, Goals reporting, and ad-hoc analysis. We support Advertising leaders and finance teams by coordinating and consolidating deliverables, centralizing and standardizing processes, establishing financial controls and mechanisms, building tools that improve the speed of decision making, and providing insightful financial analysis on the short and long term strategy of Advertising.
Basic Qualifications
- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
Preferred Qualifications
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

**Commercial Analytics Senior Associate**
**Amgen India (AIN)**
The Commercial Analytics team at Amgen plays a pivotal role as a strategic partner to Commercial leadership, delivering high-quality analyses and data-backed insights crucial for driving US commercial performance. This role is part of Amgen's growing analytics capability in India and works closely with US-based Commercial and Global Customer Capabilities Innovation teams to execute analytical work, generate insights, and support decision-making across the business.
As our Commercial Analytics Sr. Associate, you are a key contributor, with a hands-on role in executing analytic plans to generate actionable insights for US in-line brands. The Sr. Associate will partner with the Manager to ensure day-to-day delivery of recommendations. The role demands curiosity, problem solving, and the ability to independently execute and document analytic plans.
**Live | What you will do**
**1. Performance Analytics & Insight Delivery**
+ Contribute to the design and execution of analytic plans across multiple secondary data sources to support strategic decision-making.
+ Support performance analytics to understand brand drivers, payer/access shifts, promotional impact, field dynamics, and competitive trends.
+ Develop clear, actionable, and objective insights that support brand planning, portfolio discussions, and commercial execution.
+ Execute production, quality, and interpretation of standard performance reports and dashboards (weekly, monthly, quarterly).
+ Contribute to collective ownership of understanding data sources, business rules, and caveats, ensuring confidence and accuracy in all outputs.
**2. Cross-Functional Collaboration & Communication**
+ Partner with US teams across forecasting, market research, value and access, decision science, and reporting/visualization.
+ Communicate findings clearly, through concise narratives.
+ Engage regularly with counterparts to refine requirements, validate assumptions, and align outputs to provide an objective data-driven perspective on performance.
+ Maintain consistency and documentation of methods, KPI definitions, and analytical standards.
**3. Analytics Execution, Quality & Team Culture**
+ Ensure analytical execution with accuracy, rigor, and reproducibility.
+ Contribute to automation and productization efforts that reduce manual effort and speed up insights.
+ Support AI-enabled analytics by preparing data and partnering on automated outputs.
+ Ensure analytical work adheres to applicable legal, regulatory, and compliance SOPs across internal teams and vendor partners.
+ Embody a culture of curiosity, accountability, inclusion, and continuous improvement across the India team.
**Thrive | What you can expect**
As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.
**Basic Qualifications**
+ Bachelor's with 5 years or Master's with 4 years in sales & marketing operations, and/or analytics experience.
+ Strong SQL, Excel, and Python skills, with working knowledge of Tableau and cloud data services (AWS, Databricks).
+ Strong ability and direct experience with various secondary data sources specific to US commercial pharma.
**Preferred Qualifications**
+ Strong interpersonal and planning skills; comfort independently manage project timelines and develop contingencies.
+ Demonstrated mastery of data, analytics, and/or dashboarding & reporting.
+ Understanding of the strengths and limitations of different analytical approaches.
+ Demonstrated ownership of operational delivery across cross-functional teams.
Strong oral, written communication skills with ability to convey a compelling, concise narrative.

**Senior Manager, Commercial Analytics**
**Amgen India (AIN)**
Amgen is seeking a Senior Manager of Commercial Analytics to deliver high-quality analyses and insights that strengthen US commercial performance. This role is part of Amgen's growing analytics capability in India and works closely with US-based Commercial and CD&A teams to execute analytical work, generate insights, and support decision-making across the business.
The Senior Manager leads a team of analysts, guides analytical approaches, oversees day-to-day delivery, and collaborates frequently with US stakeholders. The role demands strong commercial analytics expertise, hands-on problem solving, and the ability to translate data into clear, actionable insights.
**1. Performance Analytics & Insight Delivery**
+ Lead performance analytics to understand brand drivers, payer/access shifts, promotional impact, field dynamics, and competitive trends.
+ Translate US business questions into structured analytical approaches and apply appropriate methods and datasets.
+ Develop clear, actionable insights that support brand planning, portfolio discussions, and commercial execution.
+ Apply strong US commercial understanding to ensure insights are relevant and strategically grounded.
+ Lead the production, quality, and interpretation of standard performance reports and dashboards (weekly, monthly, quarterly).
+ Own key secondary datasets by understanding data sources, business rules, and caveats, ensuring confidence and accuracy in all outputs.
**2. Cross-Functional Collaboration & Communication**
+ Partner with US teams across forecasting, market research, value and access, decision science, and reporting/visualization.
+ Communicate findings clearly, synthesizing complex analysis into concise narratives for US stakeholders.
+ Engage regularly with counterparts to refine requirements, validate assumptions, and align outputs to provide an objective data-driven perspective on performance to senior leadership
+ Proactively identify emerging trends, risks, and performance signals, ensuring timely collaboration with US teams.
+ Maintain consistency in methods, KPI definitions, and analytical standards across CD&A partners.
**3. Analytics Execution, Quality & Team Leadership**
+ Oversee analytical execution within the team, ensuring accuracy, rigor, and reproducibility.
+ Contribute to automation and productization efforts that reduce manual effort and speed up insights.
+ Support AI-enabled analytics by preparing data, identifying use cases, and partnering on automated outputs.
+ Ensure analytical work adheres to applicable legal, regulatory, and compliance SOPs across internal teams and vendor partners.
+ Lead, coach, and develop analysts, building capability in analytics, interpretation, and communication.
+ Foster a culture of curiosity, accountability, inclusion, and continuous improvement across the India team.

Director, Commercial Analytics
**Obesity Intelligence & Analytics | Amgen India**
**Reports to: Executive Director, Obesity Intelligence & Analytics**
**Role Summary**
This is an India-based global leadership role supporting Amgen's global obesity business, with significant focus on the U.S. market. The role builds the commercial analytics capability that informs strategy, sales execution, customer engagement, payer/pricing decisions, and growth priorities.
The mandate is to turn ambiguous questions into clear choices. Working with global commercial leaders and U.S. stakeholders, this leader converts business needs into scalable analysis, decision frameworks, and reusable insight products that help leaders allocate resources, identify execution gaps, and act with confidence.
Success requires sound commercial judgment, clear executive communication, and a strong understanding of U.S. pharmaceutical selling models, field dynamics, HCP and account engagement, and the data ecosystems used to guide commercialization. The Director will build and continuously strengthen an India-based commercial analytics capability recognized by global commercial leaders for trusted judgment, execution excellence, measurable business impact, and the ability to anticipate evolving business needs.
**Key Responsibilities**
**1. Commercial Analytics Strategy & Prioritization**
+ Set the commercial analytics agenda for obesity, including roadmap, delivery priorities, and senior decision forums.
+ Turn product, field, account, payer/pricing, and U.S. stakeholder questions into pragmatic analytical plans and usable decision assets.
+ Bring discipline to intake, prioritization, quality, governance, and execution without creating unnecessary process burden.
+ Surface risks, options, and trade-offs early, backed by evidence and grounded in commercial reality.
+ Raise the standard for reusable methods, continuously evolve how the function works, and build capabilities that improve over time as business needs change.
**2. Product, Launch & External Intelligence**
+ Shape analysis that informs product strategy, commercialization readiness, lifecycle planning, and in-market action.
+ Track the competitive landscape, treatment environment, access/pricing shifts, HCP behavior, and external signals, with strong attention to U.S. dynamics.
+ Synthesize market, customer, competitive, and policy insights into clear assessments of launch readiness.
+ Synthesize diverse internal and external data to identify opportunities, risks, and strategic priorities. Convert them into executive-ready narratives that clarify implications and decisions.
**3. HCP, Account & Field Effectiveness**
+ Lead analysis for field sizing, customer segmentation, HCP/account engagement, and field execution.
+ Develop national and sub-national insights that guide resource allocation, launch sequencing, and customer prioritization
+ Work across commercial, medical, market access, and product teams to evaluate strategic options and inform planning.
+ Advance patient journey, market landscape, and stakeholder insights to inform priorities.
+ Develop executive-ready insights that anticipate risks, highlight opportunities, and enable confident choices.
**4. Advanced Analytics & Decision Translation**
+ Develop predictive models, scenario simulations, segmentation approaches, and driver analyses to answer high-value business questions.
+ Apply quantitative techniques to estimate demand, assess adoption drivers, and evaluate the impact of market and competitive changes.
+ Industrialize analytical methods through scalable, governed, and reusable solutions in partnership with data science and technology teams.
+ Establish analytical standards, validation practices, and documentation that improve consistency, transparency, and confidence in outputs.
+ Expand the use of automation, AI, and experimentation to accelerate delivery and increase analytical rigor.
**5. Operating Model & Capability Building**
+ Own the commercial analytics operating model for domain intake, prioritization, standards, delivery cadence, quality, and adoption.
+ Standardize recurring work into reusable insight products, tools, and methods where scale creates value.
+ Clarify how the function partners with forecasting, primary market research, and technology colleagues to deliver integrated work.
+ Improve speed, consistency, and impact through pragmatic reuse, automation, and fit-for-purpose solutions.
+ Build a connected capability recognized by the global obesity business for judgment, reliability, and business partnership.
**6. Team Leadership & Talent Development**
+ Build, develop, and lead a high-performing India-based team of analytics professionals.
+ Create an environment of analytical excellence, accountability, curiosity, continuous learning, and ownership.
+ Coach future leaders by expanding their commercial judgment, technical depth, strategic thinking, executive communication, and ability to influence across a global organization.
+ Set clear goals, performance expectations, and development paths that link individual growth to organizational priorities.
+ Inspire the team to understand the business behind the analysis while creating an environment where curiosity, ownership, and continuous learning are expected and rewarded.
**Basic Qualifications**
+ Doctorate degree OR Master's degree OR Bachelor's degree and 18+ years of relevant experience.
**Preferred Qualifications**
+ Advanced degree in Business, Analytics, Economics, Statistics, Engineering, Data Science, Life Sciences, Public Health, or a related field.
+ Substantial experience in commercial analytics, strategic insights, consulting, or related functions within pharmaceuticals, biotechnology, healthcare, or life sciences.
+ Depth across product/brand strategy, launch analytics, sales force effectiveness, HCP/account analytics, payer/pricing analysis, commercial measurement, and executive insight translation.
+ Experience supporting U.S. or global launches and growth assets in competitive, rapidly evolving therapeutic categories, ideally with high access and execution complexity.
+ Strong understanding of U.S. pharmaceutical commercialization, selling models, field execution, stakeholder prioritization, and healthcare ecosystem dynamics.
+ Knowledge of U.S. healthcare data ecosystems used for commercial decision-making, including sales, field activity, promotional engagement, claims, payer/pricing, and access-related data.
+ Proven ability to translate complex analysis into recommendations that influence senior stakeholders and action planning.
+ Experience partnering with technology, data science, and data engineering teams to develop scalable analytics products.
+ Strong executive communication, stakeholder management, strategic thinking, and ability to balance practical delivery with high-quality analytical standards in a global environment.

**Commercial Analytics Manager**
**Amgen India (AIN)**
The Commercial Analytics team at Amgen plays a pivotal role as a strategic partner to Commercial leadership, delivering high-quality analyses and data-backed insights crucial for driving US commercial performance. This role is part of Amgen's growing analytics capability in India and works closely with US-based Commercial and Global Customer Capabilities Innovation teams to execute analytical work, generate insights, and support decision-making across the business.
As our Commercial Analytics Manager, you are responsible for guiding analytical approaches and ensuring collaboration across different functional teams. The Manager will partner with the Senior Manager to ensure day-to-day delivery of recommendations and develop an objective and rigorous perspective. The role demands strong commercial analytics expertise, problem solving, and the ability to independently execute analytic plans to generate insights.
**Live | What you will do**
**1. Performance Analytics & Insight Delivery**
+ Lead the design and execution of analytic plans for specific business questions across multiple secondary data sources to support strategic decision-making.
+ Deliver performance analytics to understand brand drivers, payer/access shifts, promotional impact, field dynamics, and competitive trends.
+ Support translation of US business questions into structured analytical approaches and apply appropriate methods and datasets.
+ Develop clear, actionable, and objective insights that support brand planning, portfolio discussions, and commercial execution.
+ Apply strong US commercial understanding to ensure insights are relevant and strategically grounded.
+ Execute production, quality, and interpretation of standard performance reports and dashboards (weekly, monthly, quarterly).
+ Manage collective ownership of understanding data sources, business rules, and caveats, ensuring confidence and accuracy in all outputs.
**2. Cross-Functional Collaboration & Communication**
+ Partner with US teams across forecasting, market research, value and access, decision science, and reporting/visualization.
+ Communicate findings clearly, synthesizing complex analysis into concise narratives and visuals for US stakeholders.
+ Engage regularly with counterparts to refine requirements, validate assumptions, and align outputs to provide an objective data-driven perspective on performance.
+ Actively identify risks and performance signals, ensuring timely collaboration with US teams.
+ Maintain consistency and documentation of methods, KPI definitions, and analytical standards.
**3. Analytics Execution, Quality & Team Culture**
+ Lead execution of specific analytical efforts within the team, ensuring accuracy, rigor, and reproducibility.
+ Contribute to automation and productization efforts that reduce manual effort and speed up insights.
+ Support AI-enabled analytics by preparing data and partnering on automated outputs.
+ Ensure analytical work adheres to applicable legal, regulatory, and compliance SOPs across internal teams and vendor partners.
+ Contribute to building capability in analytics, interpretation, and communication.
+ Embody a culture of curiosity, accountability, inclusion, and continuous improvement across the India team.
**Thrive | What you can expect**
As we work to develop treatments that take care of others, we also work to care for our teammates' professional and personal growth and well-being.
**Basic Qualifications**
+ Bachelor's with 8+ years or Master's with 6 years of relevant sales & marketing operations, and/or analytics experience.
+ Strong SQL, Excel, and Python skills, with working knowledge of Tableau and cloud data services (AWS, Databricks).
+ Strong ability and direct experience with analyzing, synthesizing, and integrating various secondary data sources specific to US commercial pharma.
+ Strong understanding of measurement frameworks, critical metrics, and performance evaluation in a commercial context.
**Preferred Qualifications**
+ Strong interpersonal and planning skills; comfort independently manage project timelines and develop contingencies.
+ Understanding of the strengths and limitations of different analytical approaches.
+ Proven ability to influence collaborators and lead cross-functional initiatives without direct authority.
+ Strong communication skills with ability to verbally and visually convey a compelling, concise narrative to different audiences.
+ Ability to drive implementation to enhance methodologies and standard processes.

Senior BI Analyst - Power BI & Commercial Analytics
Posting Start Date: 7/6/26
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Description:
**Job Overview**
**About TE Connectivity & the Channel BU**
TE Connectivity is a global technology leader that designs and manufactures connectivity and sensor solutions, serving industries that are transforming the future. The Channel Business Unit (CBU) manages TE's global distribution network and plays a critical role in driving growth, enhancing customer experience, and enabling commercial excellence across 300+ distributor partners worldwide. Channel BU brings together Sales Enablement, Marketing, Pricing, Customer Service, Digital, and PMO functions to accelerate revenue, deliver digitally enabled experiences, and achieve above-market growth.
**Role Definition**
We are seeking a skilled and motivated Senior BI Analyst to join our India-based analytics team supporting the Channel Business Unit. This individual contributor role will focus on designing, developing, and maintaining high-quality Power BI dashboards, executive reporting solutions, self-service BI assets, and business insight products that help Channel BU leaders and functional teams make faster, more informed decisions.
The ideal candidate brings strong hands-on experience in Power BI dashboard development, DAX, data visualization, business analysis, stakeholder engagement, and data storytelling. This role requires someone who can work with curated data assets, primarily from the Databricks platform, and translate business needs into intuitive, accurate, and scalable reporting solutions.
In the near term, this role may also support select Tableau reporting and dashboard needs while helping the organization continue its transition toward Power BI and Databricks-enabled analytics. While this is not a data engineering or AI role, the Senior BI Analyst should be comfortable working with curated datasets, performing basic SQL querying, validating data, and partnering with data engineering and analytics teams to ensure business reporting is trusted, consistent, and actionable.
This role also includes informal leadership responsibilities, including coaching junior analysts, sharing dashboard development best practices, supporting peer reviews, and helping raise the overall quality and consistency of BI delivery across the team.
Based in Bangalore, India, this role will report to the India-based Data Analytics & Data Science Delivery Manager and partner closely with the NA-based Data & Analytics Product Owner, Channel BU leadership, global DIA teams, and cross-functional stakeholders across AMER, EMEA, and APAC regions.
**Tasks and Responsibilities**
**Power BI Development & Reporting**
+ Design, develop, and maintain Power BI dashboards, KPI scorecards, and self-service reporting solutions supporting Sales, Marketing, Pricing, Customer Care, Digital, Strategy, and Leadership teams.
+ Build intuitive, visually compelling reports using DAX, calculated measures, filters, and best-practice data visualization principles.
+ Optimize dashboard usability, performance, and user experience while supporting recurring business and leadership reviews.
**Business Insights & Data Storytelling**
+ Partner with stakeholders to understand business needs and translate data into actionable insights and recommendations.
+ Develop executive-ready reporting and visualizations that clearly communicate trends, performance drivers, risks, and opportunities.
+ Support KPI definition, reporting standards, and consistent business interpretation across functions.
**Tableau Support & Reporting Transition**
+ Maintain and enhance existing Tableau reports while supporting migration and redesign opportunities into Power BI.
+ Ensure continuity, consistency, and quality of reporting during reporting platform transitions.
**Stakeholder Management & Delivery**
+ Collaborate with cross-functional teams to gather requirements, define reporting solutions, and prioritize BI initiatives.
+ Lead stakeholder discussions, validate outputs, present insights, and drive adoption of analytics solutions.
+ Manage multiple projects independently while communicating progress, risks, and dependencies.
**Leadership & Team Development**
+ Mentor junior analysts on Power BI, DAX, visualization, stakeholder engagement, and analytics best practices.
+ Promote reporting standards, reusable frameworks, documentation, and continuous improvement.
+ Contribute to a collaborative, insight-driven culture focused on business impact and trusted analytics.
**What your background should look like**
+ Bachelor's degree in Business Analytics, Information Systems, Computer Science, Data Science, Engineering, Finance, Statistics, Mathematics, or a related field.
+ 5-8 years of progressive experience in business intelligence, data analytics, reporting, dashboard development, or related analytics roles.
+ Strong hands-on experience developing dashboards and reports in **Power BI** .
+ Strong working knowledge of **DAX** for creating measures, calculated logic, and analytical reporting views.
+ Strong data visualization skills, including the ability to design clear, intuitive, and business-friendly dashboards.
+ Experience translating business requirements into dashboard designs, reporting logic, and actionable insights.
+ Ability to work with curated datasets from enterprise data platforms such as **Databricks** .
+ Basic SQL querying skills for data exploration, validation, and reporting support.
+ Experience creating executive dashboards, KPI scorecards, self-service BI reports, and business performance reporting.
+ Strong communication skills with the ability to explain data, insights, and dashboard functionality to business stakeholders.
+ Ability to manage multiple priorities independently and deliver high-quality work with minimal supervision.
**Competencies**
**Job Locations:**
Doraisanipalya, J.P Nagar, 4th Phase, Bannerghatta Road
Bangalore, Karnātaka
India
Posting City: Bangalore
Job Country: India
Travel Required: None
Requisition ID:
Workplace Type: Onsite
External Careers Page: Information Technology
TE Connectivity and its subsidiaries, affiliates, and operating units (collectively, the "Company") is committed to providing a work environment that prohibits discrimination on the basis of age, color, disability, ethnicity, marital status, national origin, race, religion, gender, gender identity, sexual orientation, protected veteran status, disability or any other characteristics protected by applicable law or regulation.