Role Overview

We are looking for a Senior Manager – Data Analytics to help build and scale our analytics capabilities across Product, Marketing/CRM, Business Operations, and Finance.

This is a high-impact, hands-on leadership role for someone who can combine strong analytical and technical depth with business understanding and team leadership. You will work closely with the Director of Analytics and cross-functional leaders to strengthen our data foundation, build scalable analytics solutions, and convert complex data into actionable business decisions.

The ideal candidate is equally comfortable working with SQL and data models, reviewing dashboards and analytical frameworks, managing analysts, and partnering with senior business stakeholders.

Role Responsibilities

Business & Product Analytics

- Own analytical problem-solving for key business areas and translate ambiguous business questions into structured analysis.
- Partner with Product, Marketing, CRM, Operations, Finance, and Business teams to identify opportunities for growth, retention, monetization, and operational efficiency.
- Build analytical frameworks for understanding user acquisition, activation, engagement, retention, conversion, and monetization.
- Perform deep-dive analyses to identify trends, anomalies, opportunities, and root causes behind business performance.
- Define and track business and product KPIs, ensuring teams have a consistent understanding of performance.
- Translate complex analyses into clear recommendations and actionable insights for leadership.

BI & Self-Service Analytics
- Build and maintain scalable dashboards and reporting frameworks for business and leadership teams.
- Drive adoption of self-service analytics and reduce dependency on repetitive ad-hoc analysis.
- Develop standardized datasets, metrics, and reporting views that can be reused across teams.
- Ensure dashboards and reports are accurate, actionable, easy to understand, and aligned with business priorities.
- Establish processes for validating and maintaining critical dashboards and business metrics.

Data Quality & Governance
- Help establish and implement data governance, metric definitions, documentation, and quality standards.
- Identify data quality issues and work with Engineering and business teams to resolve them at the source.
- Create monitoring and validation mechanisms for critical datasets, KPIs, and reporting pipelines.
- Improve trust and consistency in data across teams.

AI/ML & Advanced Analytics
- Identify opportunities where AI/ML and LLM-based analytics can improve business decision-making and analyst productivity.
- Support use cases such as conversational analytics, anomaly detection, predictive analytics, personalization, and process automation.
- Work with Product, Engineering,



and Data Science teams to prepare datasets and analytical frameworks required for ML/AI use cases.
- Understand feature engineering, model inputs/outputs, experimentation, and model performance sufficiently to collaborate effectively with Data Science teams.

Team Leadership
- Lead, mentor, and develop a team of Data/Business Analysts.
- Establish strong standards for SQL, analysis, dashboards, documentation, and insight communication.
- Review analytical work and ensure insights are accurate, structured, and business-relevant.
- Help hire and onboard high-quality analytics talent as the team scales.
- Build a culture of analytical rigor, curiosity, ownership, and business impact.

What We’re Looking For

Experience

- 6–9+ years of experience in Data Analytics, Business Analytics, Product Analytics, or related roles, including experience managing or mentoring analysts.
- Strong experience working in consumer internet, mobile apps, digital products, e-commerce, fintech, gaming, content, or other high-volume B2C environments is preferred.
- Demonstrated experience working with both behavioral/event data and transactional data.
- Experience building or contributing to scalable data marts, analytical layers, and standardized data models.
- Robust experience partnering with Product, Marketing, CRM, Operations, and/or Finance teams.

Technical Skills
- Advanced SQL skills are mandatory, including the ability to work independently with large and complex datasets.
- Strong understanding of data modeling, dimensional models, flat tables, ETL/ELT pipelines, and query optimization.
- Experience with cloud data warehouses such as BigQuery, Snowflake, Redshift, or equivalent.
- Strong experience with BI and visualization tools such as Looker, Power BI, Tableau, Metabase, or equivalent.
- Experience with product/event analytics platforms and large-scale behavioral datasets is highly desirable.
- Working knowledge of Python for data analysis and automation is preferred.
- Understanding of experimentation, A/B testing, statistical analysis, cohort analysis, funnels, segmentation, and retention analysis.

AI/ML Exposure
- Familiarity with machine learning workflows, including feature engineering, model inputs, model evaluation, and monitoring.
- Exposure to LLM/GenAI-based analytics use cases, such as conversational analytics, automated insight generation, or decision-support tools, is an advantage.




- Ability to partner effectively with Data Science and Engineering teams to productionize advanced analytics solutions.

Business & Leadership Skills
- Strong business acumen with the ability to connect data insights to growth, engagement, retention, revenue, and operational efficiency.
- Ability to independently structure ambiguous business problems and drive them from analysis to recommendation.
- Strong stakeholder management skills with experience working with senior Product, Marketing, Business, Finance, and Operations leaders.
- Excellent written and verbal communication skills, with the ability to simplify complex analytical findings for non-technical audiences.
- Strong ownership mindset with the ability to operate effectively in a fast-paced, high-growth environment.

KPIs / Success Metrics Success in this role will be measured across:

Analytics Impact

- Improvement in the quality and speed of business decision-making through analytics.
- Actionable insights resulting in measurable improvements across growth, engagement, retention, revenue, or operational efficiency.
- Increased usage of analytics in product and business decision-making.

Data & Reporting

- Reduction in reporting turnaround times and repetitive ad-hoc analytics requests.
- Increased adoption of standardized datasets, dashboards, and self-service analytics.
- Improved reliability and consistency of critical business metrics.
- Improved performance and usability of analytical datasets and reporting layers.

Data Quality

- Reduction in data discrepancies and reporting inconsistencies.
- Establishment and adoption of standardized metric definitions and documentation.
- Improved monitoring and validation of critical datasets and KPIs.

Team Leadership

- Quality and consistency of analytical output from the team.
- Successful hiring, onboarding, mentoring, and development of analysts.
- Improved stakeholder satisfaction with the Analytics function.

Advanced Analytics

- Successful identification and implementation of relevant AI/ML or LLM-powered analytics use cases.
- Increased automation of repetitive analytical and reporting workflows.

Why Join Us?
- Work on high-volume, high-velocity data across mobile, product, marketing, CRM, transactions, and operations.
- Play a critical role in building the next generation of our analytics and data foundation.
- Solve complex analytical problems that directly influence product and business decisions.
- Work closely with senior leadership across Product, Marketing, Business, Finance, Operations, Engineering, and Data.
- Build and mentor a strong analytics team while helping shape a culture of data-driven decision-making.
- Get the opportunity to work on emerging AI/ML and LLM-powered analytics use cases as the organization scales.

Interested? Reach out to talent@appsforbharat for a quick turnaround.

📌 Senior Manager Analytics (Bengaluru)
🏢 AppsForBharat
📍 Bengaluru