424 Analytics Manager jobs in Hyderabad
Data Analytics Manager
Posted 15 days ago
Job Viewed
Job Description
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Data Analytics Manager**
**What you will do**
Let's do this. Let's change the world. This role will be the Strategic Insights + Analytics (SIA) Team's resident subject matter expert on reporting design, meaningful metrics, storytelling through reporting and building reports optimized to meet stakeholders' needs. This person will have expert hands-on Tableau, Power BI, and ETL development skills - including, but not limited to, the ability to quickly build minimum viable product dashboards as required by Amgen leaders and key stakeholders. Finally, this role will also provide consultation support to other reporting + analytics developers in Amgen's CFO organization.
**Primary Responsibilities:**
+ Provide actionable, expert guidance to the SIA and FIT Reporting + Analytics teams regarding reporting design and development
+ Personally develop key reporting and analytics in Tableau or Power BI in response to critical, just-in-time CFO organization requests
+ Progress quickly developed reports to polished, automated, future-proof end states
+ Help design and implement a SIA/FIT reporting + analytics strategy, which could include but isn't limited to a full scale reporting migration from the Tableau application to Power BI
+ Stay current with latest reporting + analytics trends and technology and make reporting strategy recommendations as needed to SIA/FIT leadership
**Collaboration:**
+ Partner with both US and India-based SIA and FIT colleagues to achieve shared objectives
+ Report directly to the hiring a senior manager based in Thousand Oaks, California.
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Required Skills + Qualifications:**
+ Expert skill at reporting design and defining meaningful metrics
+ Expert proficiency at Tableau and Power BI development
+ Advanced "business analyst" skill at grasping and translating business requirements into technical requirements
+ Clear, concise verbal and written communication
+ Development experience with cloud storage and ETL tools such as Databricks and Prophecy
+ Solid understanding of finance concepts, financial statements and financial data
+ Skill in managing large and complex datasets
**Additional Preferred Experience:**
+ Familiarity with Oracle Hyperion, Anaplan, SAP S/4 Hana, Workday and JIRA
+ Ability to work collaboratively with teams and stakeholders outside of SIA/FIT, including cross-functionally
**Education/ Prior Employment Qualifications:**
+ Master's degree and 5 years of finance or analytics development experience
+ Bachelor's degree and 8 years of finance or analytics development experience
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Analytics manager
Posted today
Job Viewed
Job Description
Job OverviewAs an Analytics Manager at Adnaut, you will leverage your extensive experience in marketing, data analytics, statistics and machine learning to drive data-driven strategies and decision-making. Leading a team of analysts, you will work closely with cross-functional teams and clients to design, implement, and optimize advanced analytics solutions that solve complex business challenges, ensuring measurable outcomes and delivering ROI.Key Responsibilities Team Leadership & Development:Lead and mentor a team of analysts, fostering a culture of collaboration, innovation, and excellence. Provide training and guidance on analytics best practices, tools, and methodologies.Ensure alignment of team goals with organizational objectives.Strategic Analytics Planning:Collaborate with stakeholders to understand business objectives and design data-driven solutions.Translate complex business problems into actionable analytical frameworks. Advanced Marketing Analytics & Modeling: Develop and oversee the implementation of predictive models, machine learning algorithms, and statistical analyses to solve business problems.Champion advanced analytics use cases, such as Market Mix Modeling (MMM), uplift modeling, incrementality studies, customer segmentation, lifetime value modeling, and real-time optimization. Ensure robust model evaluation, validation, and deployment processes. Own the Analytics & AI Charter Lead the development of end-to-end advanced analytics products, including predictive models, real-time dashboards, and proof-of concept (Po C) solutions to solve marketing challenges. Launch and manage experiments and Po Cs across key areas like campaign optimization, media planning, budget optimization and customer analytics. Drive the vision for analytics and AI capabilities, integrating them into the company’s strategic roadmap. Data Governance & Quality Assurance: Oversee data integrity, accuracy, and consistency across all analytics projects. Establish data governance policies and ensure compliance with data security standards. Streamline ETL (Extract, Transform, Load) processes for efficient data management. Client Engagement & Delivery: Act as a strategic advisor to clients, providing insights and recommendations based on advanced analytics. Oversee the creation of compelling data visualizations and dashboards tailored to client needs. Manage client expectations and ensure timely delivery of analytics projects.Cross-Functional Collaboration:Work with marketing, product and engineering teams to integrate analytics and AI solutions into decision-making processes and products. Drive alignment between analytics initiatives and broader business strategies. Innovation & Continuous Improvement: Stay abreast of emerging trends in analytics, data science, machine learning, and ad-tech to identify new opportunities. o Encourage a culture of experimentation, leveraging cutting-edge tools and techniques. Requirements and Skills Experience: 5+ years of professional experience in analytics, data science, or related roles. Atleast 3 years’ experience in the digital marketing industry is mandatory. Experience in managing marketing analytics projects for international clients, specifically US and UK is mandatory. Proven track record of managing analytics teams and delivering high impact projects. Prior experience in conceptualizing and scaling AI/ML Po Cs or data product initiatives is a plus. Technical Expertise: Advanced proficiency in Python, SQL, and Statistical techniques. Strong experience with machine learning techniques and frameworks (e.g., Tensor Flow, Scikit-learn). ○ Expertise in data visualization tools (Power BI, Tableau) Proficient in leveraging AI tools to enhance efficiency across analytics workflows and day-to-day deliverables. Experience with cloud platforms like GCP (Big Query) Familiarity with data engineering practices and tools (e.g., Airflow, Snowflake) is an advantage. Leadership & Collaboration: Exceptional leadership skills with the ability to inspire and motivate teams. Strong interpersonal skills to build effective relationships with stakeholders and clients. Ability to manage multiple projects in a fast-paced, agile environment. Strategic Thinking: Deep understanding of marketing analytics concepts like marketing mix modeling, media budget allocation and campaign optimization.Ability to think critically and solve complex business problems with data-driven solutions. Communication: Excellent written and verbal communication skills with the ability to present complex data insights to non-technical audiences. Experience in preparing executive-level reports and presentations.
Analytics Manager
Posted today
Job Viewed
Job Description
Job Overview
As an Analytics Manager at Adnaut, you will leverage your extensive experience in marketing, data analytics, statistics and machine learning to drive data-driven strategies and decision-making. Leading a team of analysts, you will work closely with cross-functional teams and clients to design, implement, and optimize advanced analytics solutions that solve complex business challenges, ensuring measurable outcomes and delivering ROI.
Key Responsibilities
Team Leadership & Development:
- Lead and mentor a team of analysts, fostering a culture of collaboration, innovation, and excellence.
- Provide training and guidance on analytics best practices, tools, and methodologies.
- Ensure alignment of team goals with organizational objectives.
Strategic Analytics Planning:
- Collaborate with stakeholders to understand business objectives and design data-driven solutions.
- Translate complex business problems into actionable analytical frameworks.
Advanced Marketing Analytics & Modeling:
- Develop and oversee the implementation of predictive models, machine learning algorithms, and statistical analyses to solve business problems.
- Champion advanced analytics use cases, such as Market Mix Modeling (MMM), uplift modeling, incrementality studies, customer segmentation, lifetime value modeling, and real-time optimization.
- Ensure robust model evaluation, validation, and deployment processes.
Own the Analytics & AI Charter
- Lead the development of end-to-end advanced analytics products, including predictive models, real-time dashboards, and proof-of concept (PoC) solutions to solve marketing challenges.
- Launch and manage experiments and PoCs across key areas like campaign optimization, media planning, budget optimization and customer analytics.
- Drive the vision for analytics and AI capabilities, integrating them into the company’s strategic roadmap.
Data Governance & Quality Assurance:
- Oversee data integrity, accuracy, and consistency across all analytics projects.
- Establish data governance policies and ensure compliance with data security standards.
- Streamline ETL (Extract, Transform, Load) processes for efficient data management.
Client Engagement & Delivery:
- Act as a strategic advisor to clients, providing insights and recommendations based on advanced analytics. Oversee the creation of compelling data visualizations and dashboards tailored to client needs.
- Manage client expectations and ensure timely delivery of analytics projects.
Cross-Functional Collaboration:
- Work with marketing, product and engineering teams to integrate analytics and AI solutions into decision-making processes and products.
- Drive alignment between analytics initiatives and broader business strategies.
Innovation & Continuous Improvement:
- Stay abreast of emerging trends in analytics, data science, machine learning, and ad-tech to identify new opportunities. o Encourage a culture of experimentation, leveraging cutting-edge tools and techniques.
Requirements and Skills
Experience:
- 5+ years of professional experience in analytics, data science, or related roles.
- Atleast 3 years’ experience in the digital marketing industry is mandatory.
- Experience in managing marketing analytics projects for international clients, specifically US and UK is mandatory.
- Proven track record of managing analytics teams and delivering high impact projects.
- Prior experience in conceptualizing and scaling AI/ML PoCs or data product initiatives is a plus.
Technical Expertise:
- Advanced proficiency in Python, SQL, and Statistical techniques.
- Strong experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn). ○ Expertise in data visualization tools (Power BI, Tableau)
- Proficient in leveraging AI tools to enhance efficiency across analytics workflows and day-to-day deliverables.
- Experience with cloud platforms like GCP (BigQuery)
- Familiarity with data engineering practices and tools (e.g., Airflow, Snowflake) is an advantage.
Leadership & Collaboration:
- Exceptional leadership skills with the ability to inspire and motivate teams.
- Strong interpersonal skills to build effective relationships with stakeholders and clients.
- Ability to manage multiple projects in a fast-paced, agile environment.
Strategic Thinking:
- Deep understanding of marketing analytics concepts like marketing mix modeling, media budget allocation and campaign optimization.
- Ability to think critically and solve complex business problems with data-driven solutions.
Communication:
- Excellent written and verbal communication skills with the ability to present complex data insights to non-technical audiences.
- Experience in preparing executive-level reports and presentations.
Analytics Manager
Posted 14 days ago
Job Viewed
Job Description
Job Overview
As an Analytics Manager at Adnaut, you will leverage your extensive experience in marketing, data analytics, statistics and machine learning to drive data-driven strategies and decision-making. Leading a team of analysts, you will work closely with cross-functional teams and clients to design, implement, and optimize advanced analytics solutions that solve complex business challenges, ensuring measurable outcomes and delivering ROI.
Key Responsibilities
Team Leadership & Development:
- Lead and mentor a team of analysts, fostering a culture of collaboration, innovation, and excellence.
- Provide training and guidance on analytics best practices, tools, and methodologies.
- Ensure alignment of team goals with organizational objectives.
Strategic Analytics Planning:
- Collaborate with stakeholders to understand business objectives and design data-driven solutions.
- Translate complex business problems into actionable analytical frameworks.
Advanced Marketing Analytics & Modeling:
- Develop and oversee the implementation of predictive models, machine learning algorithms, and statistical analyses to solve business problems.
- Champion advanced analytics use cases, such as Market Mix Modeling (MMM), uplift modeling, incrementality studies, customer segmentation, lifetime value modeling, and real-time optimization.
- Ensure robust model evaluation, validation, and deployment processes.
Own the Analytics & AI Charter
- Lead the development of end-to-end advanced analytics products, including predictive models, real-time dashboards, and proof-of concept (PoC) solutions to solve marketing challenges.
- Launch and manage experiments and PoCs across key areas like campaign optimization, media planning, budget optimization and customer analytics.
- Drive the vision for analytics and AI capabilities, integrating them into the company’s strategic roadmap.
Data Governance & Quality Assurance:
- Oversee data integrity, accuracy, and consistency across all analytics projects.
- Establish data governance policies and ensure compliance with data security standards.
- Streamline ETL (Extract, Transform, Load) processes for efficient data management.
Client Engagement & Delivery:
- Act as a strategic advisor to clients, providing insights and recommendations based on advanced analytics. Oversee the creation of compelling data visualizations and dashboards tailored to client needs.
- Manage client expectations and ensure timely delivery of analytics projects.
Cross-Functional Collaboration:
- Work with marketing, product and engineering teams to integrate analytics and AI solutions into decision-making processes and products.
- Drive alignment between analytics initiatives and broader business strategies.
Innovation & Continuous Improvement:
- Stay abreast of emerging trends in analytics, data science, machine learning, and ad-tech to identify new opportunities. o Encourage a culture of experimentation, leveraging cutting-edge tools and techniques.
Requirements and Skills
Experience:
- 5+ years of professional experience in analytics, data science, or related roles.
- Atleast 3 years’ experience in the digital marketing industry is mandatory.
- Experience in managing marketing analytics projects for international clients, specifically US and UK is mandatory.
- Proven track record of managing analytics teams and delivering high impact projects.
- Prior experience in conceptualizing and scaling AI/ML PoCs or data product initiatives is a plus.
Technical Expertise:
- Advanced proficiency in Python, SQL, and Statistical techniques.
- Strong experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn). ○ Expertise in data visualization tools (Power BI, Tableau)
- Proficient in leveraging AI tools to enhance efficiency across analytics workflows and day-to-day deliverables.
- Experience with cloud platforms like GCP (BigQuery)
- Familiarity with data engineering practices and tools (e.g., Airflow, Snowflake) is an advantage.
Leadership & Collaboration:
- Exceptional leadership skills with the ability to inspire and motivate teams.
- Strong interpersonal skills to build effective relationships with stakeholders and clients.
- Ability to manage multiple projects in a fast-paced, agile environment.
Strategic Thinking:
- Deep understanding of marketing analytics concepts like marketing mix modeling, media budget allocation and campaign optimization.
- Ability to think critically and solve complex business problems with data-driven solutions.
Communication:
- Excellent written and verbal communication skills with the ability to present complex data insights to non-technical audiences.
- Experience in preparing executive-level reports and presentations.
Analytics Manager
Posted 14 days ago
Job Viewed
Job Description
Job Overview
As an Analytics Manager at Adnaut, you will leverage your extensive experience in marketing, data analytics, statistics and machine learning to drive data-driven strategies and decision-making. Leading a team of analysts, you will work closely with cross-functional teams and clients to design, implement, and optimize advanced analytics solutions that solve complex business challenges, ensuring measurable outcomes and delivering ROI.
Key Responsibilities
Team Leadership & Development:
- Lead and mentor a team of analysts, fostering a culture of collaboration, innovation, and excellence.
- Provide training and guidance on analytics best practices, tools, and methodologies.
- Ensure alignment of team goals with organizational objectives.
Strategic Analytics Planning:
- Collaborate with stakeholders to understand business objectives and design data-driven solutions.
- Translate complex business problems into actionable analytical frameworks.
Advanced Marketing Analytics & Modeling:
- Develop and oversee the implementation of predictive models, machine learning algorithms, and statistical analyses to solve business problems.
- Champion advanced analytics use cases, such as Market Mix Modeling (MMM), uplift modeling, incrementality studies, customer segmentation, lifetime value modeling, and real-time optimization.
- Ensure robust model evaluation, validation, and deployment processes.
Own the Analytics & AI Charter
- Lead the development of end-to-end advanced analytics products, including predictive models, real-time dashboards, and proof-of concept (PoC) solutions to solve marketing challenges.
- Launch and manage experiments and PoCs across key areas like campaign optimization, media planning, budget optimization and customer analytics.
- Drive the vision for analytics and AI capabilities, integrating them into the company’s strategic roadmap.
Data Governance & Quality Assurance:
- Oversee data integrity, accuracy, and consistency across all analytics projects.
- Establish data governance policies and ensure compliance with data security standards.
- Streamline ETL (Extract, Transform, Load) processes for efficient data management.
Client Engagement & Delivery:
- Act as a strategic advisor to clients, providing insights and recommendations based on advanced analytics. Oversee the creation of compelling data visualizations and dashboards tailored to client needs.
- Manage client expectations and ensure timely delivery of analytics projects.
Cross-Functional Collaboration:
- Work with marketing, product and engineering teams to integrate analytics and AI solutions into decision-making processes and products.
- Drive alignment between analytics initiatives and broader business strategies.
Innovation & Continuous Improvement:
- Stay abreast of emerging trends in analytics, data science, machine learning, and ad-tech to identify new opportunities. o Encourage a culture of experimentation, leveraging cutting-edge tools and techniques.
Requirements and Skills
Experience:
- 5+ years of professional experience in analytics, data science, or related roles.
- Atleast 3 years’ experience in the digital marketing industry is mandatory.
- Experience in managing marketing analytics projects for international clients, specifically US and UK is mandatory.
- Proven track record of managing analytics teams and delivering high impact projects.
- Prior experience in conceptualizing and scaling AI/ML PoCs or data product initiatives is a plus.
Technical Expertise:
- Advanced proficiency in Python, SQL, and Statistical techniques.
- Strong experience with machine learning techniques and frameworks (e.g., TensorFlow, Scikit-learn). ○ Expertise in data visualization tools (Power BI, Tableau)
- Proficient in leveraging AI tools to enhance efficiency across analytics workflows and day-to-day deliverables.
- Experience with cloud platforms like GCP (BigQuery)
- Familiarity with data engineering practices and tools (e.g., Airflow, Snowflake) is an advantage.
Leadership & Collaboration:
- Exceptional leadership skills with the ability to inspire and motivate teams.
- Strong interpersonal skills to build effective relationships with stakeholders and clients.
- Ability to manage multiple projects in a fast-paced, agile environment.
Strategic Thinking:
- Deep understanding of marketing analytics concepts like marketing mix modeling, media budget allocation and campaign optimization.
- Ability to think critically and solve complex business problems with data-driven solutions.
Communication:
- Excellent written and verbal communication skills with the ability to present complex data insights to non-technical audiences.
- Experience in preparing executive-level reports and presentations.
Business Analytics Manager
Posted 15 days ago
Job Viewed
Job Description
**What you get to do in this role:**
+ Develop and maintain AI-powered internal tools that automate workflows and boost stakeholders' productivity, with specialized focus on sales analytics and strategic planning operations
+ Build and deliver ETL pipelines for Power BI/Snowflake datasets optimized LLM consumption, enabling efficient AI-driven analysis and empowering power users.
+ Collaborate cross-functionally with Data & Analytics teams and Sales Operations teams to identify high-value AI use cases and rapidly prototype AI-enabled utilities that align with business goals
+ Transform enterprise data from Power BI and Snowflake into LLM-optimized formats while ensuring data integrity and reliable performance across AI-driven solutions
+ Manage complete AI agent development lifecycle from ideation, testing, production deployment, and user adoption while implementing continuous integration and documenting best practices
+ Champion organizational AI adoption by ensuring seamless system integration, demonstrating clear business value, and maintaining high standards for performance and user experience
**In order to be successful in this role:**
+ Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
+ 8+ years of proven track record supporting sales organizations or sales business processes through analytics, automation, or technical solutions
+ Demonstrated history of building and deploying AI agents or automation tools in real-world business settings for sales workflow automation
+ Proven experience with semantic modeling in Power BI or Snowflake, plus familiarity with transforming sales data models for LLM integration and sales analytics optimization. (include data restructuring for LLM integration)
+ Strong understanding of data engineering, APIs, and cloud-based architecture with experience in sales data
+ Ability to function both independently and as part of cross-functional teams including sales teams and business stakeholders in fast-paced environments
+ Hands-on experience with rapid prototyping, iterative testing, and agile methodologies specifically applied to sales tools and business process improvements
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
Patient Analytics Manager
Posted today
Job Viewed
Job Description
KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.
Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies.
We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.
Key Responsibilities:
- Lead end-to-end consulting projects focused on patient analytics, including scoping, planning, and delivery.
- Analyze claims data to provide strategic insights, such as patient journey mapping, adherence trends, and segmentation.
- Oversee the development of Tableau dashboards and other visual tools to support client decision-making.
- Act as the primary point of contact for clients, ensuring their needs are met and fostering long-term partnerships.
- Mentor and develop team members, fostering a culture of continuous learning and growth.
Qualifications:
- Bachelor’s or Master’s degree in a quantitative or business-related field (e.g., Statistics, Data Science, or Healthcare Management).
- 6+ years of experience in US Pharma consulting, with a strong focus on patient analytics and claims data.
- Advanced expertise in Tableau for creating high-impact dashboards and visualizations.
- Demonstrated experience leading teams and managing client engagements.
- Exceptional problem-solving, organizational, and communication skills.
- Good to Have: Experience with Dataiku for advanced analytics and machine learning applications.
Be The First To Know
About the latest Analytics manager Jobs in Hyderabad !
Adobe Analytics Manager
Posted today
Job Viewed
Job Description
As an Analytics Manager, you will help guide data-driven decision-making within our global platform and product teams.
Your primary responsibility will be to lead the implementation of Adobe Analytics across multiple digital platforms, ensuring accurate and comprehensive data collection. By collaborating with product teams, you will develop and maintain tracking plans, configure and manage analytics tags, and conduct regular audits to ensure data integrity. Your expertise will troubleshoot any issues and staying updated with the latest Adobe Analytics features and best practices.
Key Responsibilities
- Collaborate with product teams to understand their analytics needs and objectives.
- · Create and monitor dashboards within Adobe Analytics.
- · Lead the implementation of Adobe Analytics across multiple digital platforms.
- · Develop and maintain tracking plans to ensure accurate data collection.
- · Configure and manage Adobe Analytics tags, variables, and events.
- · Conduct regular audits to ensure data integrity and accuracy.
- · Create and automate comprehensive reports and dashboards based on collected data.
- · Analyze data to provide applicable insights and recommendations to product teams.
- · Monitor and troubleshoot any issues with analytics implementation.
- · Stay updated with the latest Adobe Analytics features and best practices.
- · Present findings and insights to stakeholders
Qualifications
- Bachelor's degree in a relevant field such as Data Science, Statistics, Computer Science, or Business Analytics.
- You should have minimum 10+ years of experience and atleast 2+ years of managerial experience,4+ years with Adobe Analytics
- Basic HTML and JavaScript skills.
- Experience working with Adobe Launch.
- Experience implementing and managing Adobe Analytics across digital platforms.
- With the ability to interpret complex data and provide actionable insights.
- Proficiency in data visualization tools such as Tableau, Power BI, or similar.
- To effectively present findings and recommendations to stakeholders.
- Handle a competitive environment.
- And ability to demonstrate a proactive approach to tasks.
- You will be reporting to a the Senior Leadership
Additional Information
Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering. the list goes on. Experian's strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
Benefits
Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.
#LI-Onsite
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Adobe Analytics Manager
Posted 1 day ago
Job Viewed
Job Description
Job Description
As an Analytics Manager, you will help guide data-driven decision-making within our global platform and product teams.
Your primary responsibility will be to lead the implementation of Adobe Analytics across multiple digital platforms, ensuring accurate and comprehensive data collection. By collaborating with product teams, you will develop and maintain tracking plans, configure and manage analytics tags, and conduct regular audits to ensure data integrity. Your expertise will troubleshoot any issues and staying updated with the latest Adobe Analytics features and best practices.
Key Responsibilities
Qualifications
Additional Information
Our uniqueness is that we truly celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering. the list goes on. Experian's strong people first approach is award winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is a critical part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, color, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
Benefits
Experian care for employee's work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off.
#LI-Onsite
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Patient Analytics Manager
Posted 7 days ago
Job Viewed
Job Description
KMK is a global data analytics and technology consulting company empowering leaders across the Life Sciences industries to make better data-driven decisions.
Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting-edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence by delivering analytical guidance to the field through our cloud-based sales planning and operations platform. We are leaders in managing data using the latest cloud information management and big data technologies.
We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. We serve clients with a high-touch on-site and onshore presence, leveraged by a global delivery platform.
Key Responsibilities:
- Lead end-to-end consulting projects focused on patient analytics, including scoping, planning, and delivery.
- Analyze claims data to provide strategic insights, such as patient journey mapping, adherence trends, and segmentation.
- Oversee the development of Tableau dashboards and other visual tools to support client decision-making.
- Act as the primary point of contact for clients, ensuring their needs are met and fostering long-term partnerships.
- Mentor and develop team members, fostering a culture of continuous learning and growth.
Qualifications:
- Bachelor’s or Master’s degree in a quantitative or business-related field (e.g., Statistics, Data Science, or Healthcare Management).
- 6+ years of experience in US Pharma consulting, with a strong focus on patient analytics and claims data.
- Advanced expertise in Tableau for creating high-impact dashboards and visualizations.
- Demonstrated experience leading teams and managing client engagements.
- Exceptional problem-solving, organizational, and communication skills.
- Good to Have: Experience with Dataiku for advanced analytics and machine learning applications.