85 Analytics Manager jobs in Delhi

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 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 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. 

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.

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.

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.

• Lead the collection, processing, and analysis of performance data from various sports disciplines.
• Develop and maintain sophisticated statistical models to identify performance trends, predict outcomes, and optimize training regimens.
• Design and present comprehensive reports and dashboards that clearly communicate key findings to stakeholders.
• Collaborate closely with coaching staff to understand their analytical needs and tailor insights accordingly.
• Mentor and guide junior analysts, fostering a culture of continuous learning and data-driven decision-making.
• Stay abreast of the latest advancements in sports analytics, machine learning, and data science technologies.
• Identify opportunities to implement new technologies and methodologies to enhance data analysis capabilities.
• Manage relationships with data providers and technology partners to ensure data integrity and access.
• Contribute to strategic planning by providing data-backed recommendations for player recruitment, development, and game strategy.
• Ensure data privacy and security protocols are strictly adhered to throughout all analytical processes.

• Master's degree or Ph.D. in Statistics, Data Science, Sports Science, Computer Science, or a related quantitative field.
• Proven experience (5+ years) in sports analytics, with a strong portfolio of successful projects.
• Expertise in statistical modeling, predictive analytics, and machine learning algorithms.
• Proficiency in programming languages such as Python or R, and experience with SQL databases.
• Advanced data visualization skills using tools like Tableau, Power BI, or similar.
• Deep understanding of various sports, their rules, and performance metrics.
• Excellent communication, presentation, and interpersonal skills, capable of engaging with diverse audiences.
• Strong leadership and team management abilities.
• Ability to work effectively in both collaborative team settings and independently in a remote capacity.
• A strategic mindset with a passion for leveraging data to achieve competitive advantages in sports.

• Lead the design, development, and implementation of sophisticated analytical models and dashboards to track key performance indicators (KPIs) across various sports and leisure verticals.
• Analyze complex datasets related to player statistics, game outcomes, fan behavior, social media engagement, and market trends.
• Translate data-driven insights into actionable recommendations for coaching staff, marketing teams, and management.
• Develop predictive models for athlete performance, injury prevention, and game strategy.
• Evaluate the effectiveness of marketing campaigns, sponsorship initiatives, and fan engagement programs using analytical data.
• Collaborate with technology partners and data scientists to explore and implement new analytical tools and techniques.
• Manage and mentor a team of sports analysts, fostering a culture of data-driven decision-making.
• Present complex analytical findings and strategic recommendations to stakeholders in a clear and concise manner.
• Stay abreast of the latest trends in sports analytics, data science, and relevant technologies.
• Ensure data integrity and accuracy across all analytical projects.
• Contribute to the development of new strategies for fan engagement and revenue generation through data insights.

• Master's degree or PhD in Statistics, Data Science, Sports Science, Mathematics, Computer Science, or a related quantitative field.
• Minimum of 6 years of experience in sports analytics, performance analysis, or a related field, with demonstrable leadership experience.
• Proven expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Proficiency in programming languages such as Python or R, and experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of sports dynamics, performance metrics, and relevant industry knowledge.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication, presentation, and interpersonal skills, with the ability to explain complex concepts to non-technical audiences.
• Demonstrated ability to manage projects and lead teams in a remote environment.
• Experience with big data technologies and cloud platforms is a plus.