Analytics Manager

API Holdings · India

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/TensorFlow .
• 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 BigQuery, 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.