Analytics Manager

Senior Manager / Lead – Analytics & Data Science

Location:

Navi Mumbai - Turbhe

Experience:

5+ Years
Team Size:  4–6 Members
About the Role
We are looking for an experienced  Analytics & Data Science leader  to drive data-led decision-making across Growth, Product, and Engineering. The role combines  business partnering, team leadership, advanced analytics, and hands-on technical expertise  to deliver measurable business impact.

Key Responsibilities
Partner with senior business and product leaders to identify opportunities where data can drive growth and business outcomes.
Translate complex business problems into analytics roadmaps with clear objectives, metrics, and ROI.
Lead and mentor a team of 4 –6 analysts and data scientists , managing performance, development, and project priorities.
Drive advanced analytics and ML solutions across areas such as  regression, classification, forecasting, recommendation systems, NLP, and causal inference .
Oversee end-to-end analytics solutions, from data preparation and modelling to validation and production deployment.
Work hands-on with  Python and SQL  for complex analysis, data wrangling, and ML modelling.
Build scalable data pipelines, models, and executive dashboards using modern analytics and BI tools.
Ensure strong standards for data quality, model validation, monitoring, documentation, and analytics best practices.
Promote experimentation, A/B testing, and data-driven decision-making across business teams.

Required Qualifications
5+ years  of experience in Analytics, Data Science, or a related quantitative field, including  2+ years in team leadership/people management .
Strong expertise in  Python, SQL, statistics, and machine learning .
Hands-on experience with ML libraries such as  scikit-learn, XGBoost, PyTorch/Tensor Flow .
Strong understanding of hypothesis testing, regression, ML algorithms, and experimentation.
Proven experience delivering  production analytics/ML solutions  with measurable business impact.
Experience managing and developing teams of  5+ members .
Excellent stakeholder management and communication skills, with the ability to present complex insights to senior leadership.
Good to Have

Experience with  Big Query, Snowflake/Redshift, Airflow, dbt, Tableau, Power BI, or Metabase .
Knowledge of  causal inference and experimentation frameworks .
Experience in  B2C, e-commerce, or consumer technology .
Exposure to  Generative AI, LLMs, MLOps, or AutoML .
Master's degree in Data Science, Business Analytics, Statistics, or a related field.
Why Join Us?
Drive the analytics strategy and directly influence business outcomes.
Lead and grow a high-performing analytics and data science team.
Work at the intersection of  advanced technology, analytics, and strategic business leadership .
Competitive compensation and comprehensive benefits.
If you are passionate about using data and AI to solve high-impact business problems and enjoy building high-performing teams, we would love to hear from you.