5,564 Senior Analytics Manager jobs in India

xp- 13- 17 years

Skill - Analytics Manager

Location - Bangalore

Shift 1.30 pm -10.30 pm

Work Model - Hybrid Mode

Required Qualifications:

 14+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

2+ years of leadership experience

xperience in Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

eadership experience

Desired Qualifications:

inancial Crimes, Operational Risk, Fraud, Sanctions, Anti-Bribery, Corruption experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

roject Management, development, strategic planning, process management, change delivery, or equivalent experiences.

utstanding verbal and written communication skills and the ability to communicate complex ideas to non- quantitative colleagues in a concise and clear fashion.

bility to execute in a fast-paced, high-demand, environment while balancing multiple priorities.

xperience in managing reporting or analytics operations, preferably within financial crimes or risk management.

anagement or leadership experience; Proven leadership success recruiting, inspiring, developing, coaching, and motivating team members through balanced leadership with a focus on team member engagement and retention and performance management.

roficiency with all Microsoft Office applications and the ability to construct PowerPoint presentations for executive communications.

amiliarity with visualization and analytics tools (e.g., Alteryx, SQL, Tableau, Qlik Sense).

xperience building relationships across lines of businesses and geographies, influencing partners, as well as providing credible and effective challenge.

referred Financial Crimes Certifications Certified Anti-Money Laundering Specialist (ACAMS) or Certified BSA/AML Professional (CBAP)

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. 

Job Description:

Role: Sr. Manager (Data & Analytics)

Location: Mumbai (Thane)

Mode: WFO

Experience: 10 to 16 Years

Shift Timings: 05:30 AM to 3:00 PM (IST)- Australian Shifts

Notice Period: Immediate to 30 days

Note: This is WFO from Thane Location

The Senior Manager Data & Analytics will lead data-driven initiatives to enhance operational efficiency, customer experience, and business outcomes in a telecommunications contact center. This role requires strategic oversight of Data & Analytics projects, collaboration with cross-functional teams, and the ability to translate insights into actionable improvements.

Key Responsibilities:

• Lead the delivery of high-impact Data & Analytics projects, ensuring alignment with business objectives and measurable outcomes.
• Collaborate with CX, Sales, and innovation teams to identify data-driven opportunities for process optimization, cost reduction, and revenue growth.
• Develop and present compelling business cases, leveraging data insights to justify improvement initiatives.
• Design and implement Customer Journey Maps and Process Maps to drive optimized, future-state experiences across People, Process, Data, and Technology.
• Analyze interaction trends across human-assisted channels to inform operational strategies and channel optimization.
• Create engaging, data-rich visualizations (slides, charts, dashboards) for stakeholders at all levels.
• Proactively manage project risks, maintain risk registers, and escalate issues as needed.
• Monitor project progress from ideation through benefits realization, ensuring KPIs are met.
• Mentor and guide junior team members, fostering a culture of continuous improvement and data-driven decision-making.

Required Skills & Qualifications:

Experience:

• Minimum 5 - 7 years of experience in Data & Analytics, Data Sciences, Process Excellence, or Delivery Innovation, with at least 3 years in a senior leadership or management role within a contact center or telecommunications environment.
• Proven track record of delivering measurable results through data-driven initiatives, including cost savings, revenue growth, or customer satisfaction improvements.
• Extensive experience leading cross-functional teams and managing complex, high-stakes projects with multiple stakeholders.
• Demonstrated success in implementing advanced analytics solutions (e.g. Sales / Churn / NPS predictive models, Customer Segmentation,)
• Experience with using and modelling data on BI tools such as Power BI, Tableau etc.
• Prior experience in developing and executing data-driven strategies for customer experience optimization, such as reducing average handle time, improving Sales, or enhancing self-service adoption.
• Experience managing end-to-end project lifecycles, from opportunity identification and business case development to implementation and benefits tracking.

Technical proficiency:

• Advanced proficiency in Excel and PowerPoint for data analysis, visualization, and stakeholder communication.
• Expertise in system/data analysis and data interrogation, with strong skills in SQL for querying and manipulating large datasets.
• Proficiency in Python or R for advanced data analysis, statistical modelling, and automation of analytical processes.
• Hands-on experience with Power BI, Tableau, or similar BI tools for creating interactive dashboards and reports with real-time data integration.
• Preferred Experience with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse Analytics) for managing and analysing large-scale datasets.
• Familiarity with digital technologies such as Generative AI, Robotic Process Automation (RPA), and Speech Analytics for enhancing contact center operations.
• Understanding of data governance, data quality frameworks, and compliance standards (e.g., GDPR, CCPA) to ensure secure and ethical data usage.

Methodologies & Certifications:

• Strong knowledge of Lean Six Sigma and Agile methodologies (Scrum). Certified ScrumMaster (CSM) or Lean Six Sigma Green certification is highly desirable.
• Experience applying contemporary process improvement frameworks to achieve operational excellence.

Education:

• Bachelor’s degree in data science, Business Analytics, Statistics, Computer Science, or a related field.

Interested candidate kindly apply or share your resume to

About the Role:

As the Analytics Manager, you will oversee the end-to-end delivery of insights across Silvermine's product suite — including eForm2290, eMCS150, and Truckopedia. You'll lead a multidisciplinary team, define the analytics roadmap, and establish robust data practices that inform strategic and tactical decisions.

KEY RESPONSIBILITIES:

• Lead and mentor a cross-functional analytics team supporting product, business, marketing, and CX.
• Collaborate with functional leads to align analytics projects with business OKRs.
• Own and evolve the KPI frameworks for products and business performance.
• Ensure high quality and consistency of dashboards and reports.
• Coach and manage a team of analysts, fostering growth and delivery excellence.
• Drive adoption of analytics tools and self-serve capabilities within departments.
• Translate business problems into data-driven solutions.
• Drive analytics roadmap, improve data governance, and coordinate with Data Engineering.
• Represent analytics in leadership meetings and decision-making forums.

PREFERRED QUALIFICATIONS & REQUIRED SKILLS:

• 8+ years of analytics experience with at least 2 years in a managerial/lead role.
• Proficiency in SQL, Python, Power BI/Tableau/Metabase, GA4/Any other web analytics tools.
• Experience with web analytics and A/B testing frameworks.
• Understanding of marketing attribution and user segmentation.
• Exposure to data governance and quality checks.
• Familiarity with compliance, SaaS, or transactional web products is a strong plus.
• Strong communication skills, business acumen, and stakeholder management.

PERKS OF JOINING:

The Culture: most companies talk about their values, we live them.

• Supportive Culture: We value teamwork, mentorship, and professional development, and we show it by providing top-notch employee experience and training programs, and incentivizing team growth.
• Work-Life Balance: We support a hybrid work model and encourage our employees to create a healthy balance between personal and professional life.
• Rewards and Recognitions: Competitive compensation, annual and spot bonuses, and a focus on recognizing hard work with well-earned rewards are part of our DNA.
• Innovative Work: Contribute to cutting-edge solutions for e-commerce and SaaS businesses.

The Work: stability of a market leader with the hunger for innovation and growth of a start-up

• Impactful & Broad Role: You will have a seat at the table when it comes to key management decisions, drive critical marketing strategy and decisions, and have a voice in key product and user experience decisions.
• Growth Opportunities: Learn and grow from market veterans, take advantage of a fast-paced, collaborative environment, and enjoy the ability to move up the ladder when you earn it.
• Competitive Benefits: Access comprehensive insurance for health (incl. parents), life and personal accident.

ABOUT SILVERMINE GROUP:

Silvermine Group is the largest & most trusted provider of regulatory compliance services for the heavy trucking and transportation industries. Our compliance automation platform is secure, cloud-based, and certified by the IRS - helping over 100,000 customers every year file federally required documents - such as IRS Form 2290, Form 8849, and MCS-150 - accurately, securely, and on time. Our technology, highly skilled customer support, and relentless focus on product improvement and growth ensures that our customers’ equipment stays on the road and their businesses keep humming.

Website: Silvermine Group Products: eform2290 and emcs150

xp- 13- 17 years

Skill - Analytics Manager

Location - Bangalore

Shift 1.30 pm -10.30 pm

Work Model - Hybrid Mode

Required Qualifications:

 14+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

2+ years of leadership experience

xperience in Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

eadership experience

Desired Qualifications:

inancial Crimes, Operational Risk, Fraud, Sanctions, Anti-Bribery, Corruption experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

roject Management, development, strategic planning, process management, change delivery, or equivalent experiences.

utstanding verbal and written communication skills and the ability to communicate complex ideas to non- quantitative colleagues in a concise and clear fashion.

bility to execute in a fast-paced, high-demand, environment while balancing multiple priorities.

xperience in managing reporting or analytics operations, preferably within financial crimes or risk management.

anagement or leadership experience; Proven leadership success recruiting, inspiring, developing, coaching, and motivating team members through balanced leadership with a focus on team member engagement and retention and performance management.

roficiency with all Microsoft Office applications and the ability to construct PowerPoint presentations for executive communications.

amiliarity with visualization and analytics tools (e.g., Alteryx, SQL, Tableau, Qlik Sense).

xperience building relationships across lines of businesses and geographies, influencing partners, as well as providing credible and effective challenge.

referred Financial Crimes Certifications Certified Anti-Money Laundering Specialist (ACAMS) or Certified BSA/AML Professional (CBAP)

Job Description:

Role: Sr. Manager (Data & Analytics)

Location: Mumbai (Thane)

Mode: WFO

Experience: 10 to 16 Years

Shift Timings: 05:30 AM to 3:00 PM (IST)- Australian Shifts

Notice Period: Immediate to 30 days

Note: This is WFO from Thane Location

The Senior Manager Data & Analytics will lead data-driven initiatives to enhance operational efficiency, customer experience, and business outcomes in a telecommunications contact center. This role requires strategic oversight of Data & Analytics projects, collaboration with cross-functional teams, and the ability to translate insights into actionable improvements.

Key Responsibilities:

• Lead the delivery of high-impact Data & Analytics projects, ensuring alignment with business objectives and measurable outcomes.
• Collaborate with CX, Sales, and innovation teams to identify data-driven opportunities for process optimization, cost reduction, and revenue growth.
• Develop and present compelling business cases, leveraging data insights to justify improvement initiatives.
• Design and implement Customer Journey Maps and Process Maps to drive optimized, future-state experiences across People, Process, Data, and Technology.
• Analyze interaction trends across human-assisted channels to inform operational strategies and channel optimization.
• Create engaging, data-rich visualizations (slides, charts, dashboards) for stakeholders at all levels.
• Proactively manage project risks, maintain risk registers, and escalate issues as needed.
• Monitor project progress from ideation through benefits realization, ensuring KPIs are met.
• Mentor and guide junior team members, fostering a culture of continuous improvement and data-driven decision-making.

Required Skills & Qualifications:

Experience:

• Minimum 5 - 7 years of experience in Data & Analytics, Data Sciences, Process Excellence, or Delivery Innovation, with at least 3 years in a senior leadership or management role within a contact center or telecommunications environment.
• Proven track record of delivering measurable results through data-driven initiatives, including cost savings, revenue growth, or customer satisfaction improvements.
• Extensive experience leading cross-functional teams and managing complex, high-stakes projects with multiple stakeholders.
• Demonstrated success in implementing advanced analytics solutions (e.g. Sales / Churn / NPS predictive models, Customer Segmentation,)
• Experience with using and modelling data on BI tools such as Power BI, Tableau etc.
• Prior experience in developing and executing data-driven strategies for customer experience optimization, such as reducing average handle time, improving Sales, or enhancing self-service adoption.
• Experience managing end-to-end project lifecycles, from opportunity identification and business case development to implementation and benefits tracking.

Technical proficiency:

• Advanced proficiency in Excel and PowerPoint for data analysis, visualization, and stakeholder communication.
• Expertise in system/data analysis and data interrogation, with strong skills in SQL for querying and manipulating large datasets.
• Proficiency in Python or R for advanced data analysis, statistical modelling, and automation of analytical processes.
• Hands-on experience with Power BI, Tableau, or similar BI tools for creating interactive dashboards and reports with real-time data integration.
• Preferred Experience with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse Analytics) for managing and analysing large-scale datasets.
• Familiarity with digital technologies such as Generative AI, Robotic Process Automation (RPA), and Speech Analytics for enhancing contact center operations.
• Understanding of data governance, data quality frameworks, and compliance standards (e.g., GDPR, CCPA) to ensure secure and ethical data usage.

Methodologies & Certifications:

• Strong knowledge of Lean Six Sigma and Agile methodologies (Scrum). Certified ScrumMaster (CSM) or Lean Six Sigma Green certification is highly desirable.
• Experience applying contemporary process improvement frameworks to achieve operational excellence.

Education:

• Bachelor’s degree in data science, Business Analytics, Statistics, Computer Science, or a related field.

Interested candidate kindly apply or share your resume to

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.

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.

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.