8,406 Analytics jobs in India

Job Description: Analytics Lead / Analytics Manager

Zenon Analytics is a global boutique consulting firm and a leading AI partner for Fortune 500 firms. We partner with clients across the globe to identify their highest-value opportunities, address their most critical challenges, and transform their enterprises using advanced analytics.

In a nutshell:

An Analytics Lead / Analytics Manager at Zenon Analytics takes the lead for analytics delivery on client projects. He/She works closely with the client to design, develop and implement cutting-edge analytics solutions for a variety of business problems. They are responsible for overall management of the analytics workstreams within the project, including managing the project team and their deliverables. They are also responsible for overall client stakeholder management and communications.

The role of an Analytics Lead / Analytics Manager is a critical one at Zenon; we only consider candidates with strong academic and work credentials and a track record of innovative and successful applied analytics projects.

What will you do?

• Engage with clients to understand their business needs from an analytical standpoint and accordingly define the problem statement(s) to focus on.

• Design, develop, and deploy state-of-the-art, data-driven predictive models to solve business problems using the latest and most appropriate technologies in machine learning, statistical modelling and Operations Research.

• Deliver value in the marketplace by supporting teams serving clients and/or leading key research initiatives.

• Responsibilities include development of analytic solutions; pattern identification and feature extraction, variable selection; experimentation with algorithms, performance analysis and preparation for communication with internal and external clients, and training and development of junior analytics staff.

• Work will require effective coordination of global analytics and consulting team members. Some travel may be required to client locations.

• Contribute analytical thought leadership to assist on Business Development proposals.

What are we looking for?

• 6-9 years of experience and degree (B.Tech/M.Tech/MS/PhD or equivalent) in a quantitative field (i.e., Statistics, Engineering, Machine Learning, Physics, Econometrics, etc.) from top tier academic institutions

• Strong communication skills

• Experience in managing global analytics teams in multiple locations is preferred

• Track record of analytical product development, innovation, or research (patents or publications) would be a plus

Data science expertise -

• Python / R programming

• Have worked on semi-supervised problems

• Worked on NLP unstructured data / semi structured data

• Have prior experience in pre-trained models, like BERT, Glove,

• Worked on Neural Network, with experience in Tensor Flow, PyTorch

• Model development using RNN, CNN, LSTM

• Machine learning model development, hands on experience in Random Forest, XGboost, SVM etc

• Experience in unsupervised learning and optimisation

• Experience in model performance tuning

• Experience in Model governance and deployment

Good to have experience

• Financial services or Healthcare industry experience will be a plus

• Experience in UiPath AI Fabric

• Worked on Cloud AWS

• Experience in bigdata hadoop

• PySpark exposure

• Exposure to Transfer learning

Required Qualifications:

• Bachelors degree in Information Technology, Computer Science or a related field

• 3 years experience developing and working in marketing technology platforms

• Familiarity with cookie compliance platforms such as OneTrust

• Familiarity with tag management systems such as Adobe Launch

• Familiarity with Adobe Experience Platform Web SDK

• Knowledge of HTML, CSS, Javascript and other programming languages

• Experience debugging code within a browser

• Experience with Agile and Scrum methodologies

• Experience creating and supporting complex software in an enterprise environment

• Strong quality assurance skills. Experience collaborating with QA automation engineers

Preferred Qualifications:

• Deep experience with Adobe Launch

• Experience with OneTrust cookie compliance

• Excellent communication skills with the ability to collaborate effectively with cross-functional teams

Job Summary:

We are seeking a highly motivated and detail-oriented Data Analyst with 3 to 6 years of experience in data analytics and business intelligence. The ideal candidate will possess strong analytical capabilities, hands-on experience with large data sets, proficiency in SQL and Python, and expertise in data visualization tools such as Power BI and Tableau. This role demands strong statistical acumen, familiarity with research methodologies, and the ability to derive actionable insights through both quantitative and qualitative analysis.

Requirements

Key Responsibilities:

Extract, clean, and analyze large datasets using SQL, Python, and other analytics tools.

Design and develop dashboards, reports, and data visualizations using Power BI and Tableau to support strategic decision-making.

Conduct exploratory data analysis, statistical modeling, and root cause investigations to identify trends, patterns, and business insights.

Collaborate with cross-functional teams to gather requirements, understand data needs, and deliver analytical solutions.

Apply basic statistical techniques and use tools such as R, T/Stata, or equivalent to support business and research initiatives.

Prepare and present findings and recommendations to stakeholders using MS PowerPoint and other communication tools.

Document analytical methodologies, data workflows, and project outcomes in a structured and comprehensible format.

Required Skills and Qualifications:

Bachelor’s degree in computer science, Information Technology, Mathematics, Statistics, Economics, or a related field (B.Tech/B.E. or B.Sc./BA).

Postgraduate qualifications in relevant fields will be an added advantage.

3 to <6 years of experience in data analytics or a related discipline.

High-level proficiency in:

SQL and similar tools for querying and handling large datasets.

Python or equivalent programming language for data manipulation and automation.

Business Intelligence tools such as Power BI and Tableau.

MS Office tools including Excel (advanced), Word, and PowerPoint.

Basic statistics and research tools (R, T/Stata, etc.).

Strong problem-solving abilities with a solid understanding of both qualitative and quantitative analytics.

Ability to manage multiple projects simultaneously and communicate effectively with both technical and non-technical stakeholders.

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.

Roles and Responsibilities