Senior Manager - Product Analytics at InMobi Advertising | AdTechTalent
Data Science14 months agoOn-site
InMobi Advertising
Senior Manager - Product Analytics
data scienceoperational analyticsSQLPythonSparkexperimental designstatistical methodshypothesis testingmodel integrationdata engineeringTableauLookerPower BIGrafanaSupersetmentoringleadershipcross-functional collaboration
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
10+
Location
Bengaluru, India
Full job description
InMobi Advertising is seeking a senior Operational Data Scientist with 8-15 years of experience and 4+ years in people management. The role involves leading experimental design, data engineering workflows, model integration, proactive/reactive analysis, health metrics design, leadership, and product impact tracking. Candidates must have advanced skills in SQL, Python, Spark, and experience with visualization tools like Tableau, Looker, Power BI, Grafana, or Superset. Responsibilities include collaborating with cross-functional teams, mentoring analysts, and driving data-informed operational decisions to improve system health and platform performance. The position is based in Bangalore, India.
What you'll do
Lead and design complex experiments, addressing challenges with statistical rigor
Interpret results and provide actionable insights to drive business decisions
Partner with stakeholders to ensure data systems and structures are efficient and reliable
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Reduce turnaround time (TAT) for analytics, feature exploration, and experimentation setup
Collaborate with data science teams to integrate models into workflows
Define success metrics, identify inefficiencies, and leverage model outputs to enhance operations
Conduct exploratory data analysis, simulations, and hypothesis testing
Provide strategic support and actionable insights to address business challenges
Define, implement, and monitor key performance metrics to assess platform performance and user behavior
Serve as a liaison between cross-functional teams, advocating for data-driven decisions
Mentor analysts and promote a culture of analytics within the organization
Design and implement analyses to monitor product impact
Ensure alignment of analytics initiatives with broader business objectives
Requirements
8–15 years of total professional experience, preferably in Tech, Consulting, or high-scale Analytics organizations
4+ years of people management experience, leading data science, analytics, or operational analytics teams in system-heavy environments
Advanced proficiency in SQL and Python — able to drive deep analyses, RCA investigations, and metric instrumentation independently
Hands-on experience with Spark or distributed data processing frameworks for scalable analysis
Proven ability to design and deploy control systems or feedback loops in collaboration with engineering teams to tune complex algorithms in production
Successfully implemented and maintained Data Science models in production, including monitoring and post-deployment tuning
Solid foundation in statistical methods, hypothesis testing, and experimental design, especially as applied to system performance and anomaly detection
Comfort working with observability and visualization tools — Tableau, Looker, Power BI, or internal metric dashboards like Grafana or Superset
Strong record of cross-functional collaboration with engineering, product, SRE, and ML teams to drive system health and platform improvements
Demonstrated ability to work through ambiguity, structure diagnostic approaches, and drive data-informed operational decisions
Strong strategic and systems thinking mindset — able to reason about interdependent metrics and optimize for system-wide health
Continuous learning and career progression with InMobi Live Your Potential programEqual Employment Opportunity employerReasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace
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