98 Analytics jobs in Delhi

Job Summary:

Talent Worx is looking for a skilled SAC (SAP Analytics Cloud) Specialist with a solid background in data visualization and data analysis. This role involves creating reports, dashboards, and analytics solutions using SAP Analytics Cloud to support business decision-making processes. The ideal candidate should have hands-on experience with SAC, data modeling, and integrating various data sources to drive meaningful insights for stakeholders.

Requirements

Key Responsibilities:

Design, create, and maintain interactive dashboards and reports in SAP Analytics Cloud that provide actionable business insights.

Work closely with business stakeholders to gather requirements, understand their analytical needs, and deliver high-quality solutions.

Perform data modeling, data preparation, and data blending using SAC to create a seamless analytical experience.

Integrate various data sources into SAP Analytics Cloud, ensuring data accuracy and consistency.

Conduct training sessions and workshops for team members and stakeholders on SAC features and best practices.

Analyze data trends and generate reports that can help drive strategic initiatives within the company.

Stay updated on the latest advancements in SAC and data analytics to enhance skills and propose improvements to our analytics processes.

Required Skills and Qualifications:

Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.

3 to 6 years of hands-on experience with SAP Analytics Cloud, including dashboard creation and data modeling.

Strong understanding of data visualization principles and best practices.

Proficient in SQL for data retrieval and manipulation.

Knowledge of data integration techniques and experience with various data sources.

Excellent communication and collaboration skills to work effectively with cross-functional teams.

Problem-solving mindset with a focus on detail and quality.

Ability to manage multiple projects and deadlines effectively.

Benefits

We’re hiring for one of the world’s leading professional services organizations — part of the prestigious “Big 4” — known for setting global standards in consulting, advisory, audit, risk, tax, and technology services.

This firm works with some of the biggest brands and governments worldwide, helping them solve complex challenges, drive innovation, and build sustainable futures.

If you’re passionate about working in a fast-paced environment, love solving problems, and are excited about learning from the best minds in the industry, this is your opportunity.

Join a culture that values collaboration, continuous growth, diversity, and making a real-world impact across industries.

Nupanch is an analytics consulting company. We cater to a specific niche - small/medium e-commerce companies on a fast growth trajectory, primarily based in the US. Our customers truly care for what they sell. As an extension of their teams, we support them by helping them make good decisions. We implement robust, scalable data architectures that enable self-serve analytics.

This position involves a) understanding the business use cases for data, b) translating those into a star-schema data warehouse model on BigQuery / Snowflake using dbt and c) designing and delivering effective visualizations that provide actionable insights.

This position requires the below core skills:

• Advanced SQL competency using data warehouses like Google BigQuery and Snowflake
• At least 2 years experience with data warehouse modeling i.e. building star schemas
• At least 2 years experience with dbt (data build tool)
• At least 2 years experience working with e-commerce data

The ideal total experience level for this position is 4-6 years.

Nupanch is an analytics consulting company. We cater to a specific niche - small/medium e-commerce companies on a fast growth trajectory, primarily based in the US. Our customers truly care for what they sell. As an extension of their teams, we support them by helping them make good decisions. We implement robust, scalable data architectures that enable self-serve analytics.

This position involves a) understanding the business use cases for data, b) translating those into a star-schema data warehouse model on BigQuery / Snowflake using dbt and c) designing and delivering effective visualizations that provide actionable insights.

This position requires the below core skills:

• Advanced SQL competency using data warehouses like Google BigQuery and Snowflake
• At least 2 years experience with data warehouse modeling i.e. building star schemas
• At least 2 years experience with dbt (data build tool)
• At least 2 years experience working with e-commerce data

The ideal total experience level for this position is 4-6 years.

Nupanch is an analytics consulting company. We cater to a specific niche - small/medium e-commerce companies on a fast growth trajectory, primarily based in the US. Our customers truly care for what they sell. As an extension of their teams, we support them by helping them make good decisions. We implement robust, scalable data architectures that enable self-serve analytics.

This position involves a) understanding the business use cases for data, b) translating those into a star-schema data warehouse model on BigQuery / Snowflake using dbt and c) designing and delivering effective visualizations that provide actionable insights.

This position requires the below core skills:

• Advanced SQL competency using data warehouses like Google BigQuery and Snowflake
• At least 2 years experience with data warehouse modeling i.e. building star schemas
• At least 2 years experience with dbt (data build tool)
• At least 2 years experience working with e-commerce data

The ideal total experience level for this position is 4-6 years.

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.