Product Analytics Marketing E- Commerce Bangalore & Gurgaon

Teamplus Staffing Solution; Gurugram District, Bengaluru; Hybrid; INR 1,500,000 - 2,500,000; Full time

Job summary

Decision Point Private Limited (LatentView Group) in Gurgaon seeks an experienced Product Analytics professional to own audience definitions, segmentation and measurement for high-volume campaigns. You will translate briefs into precise, scalable audience logic and drive experiments across campaigns with strong SQL and data modeling skills.

You will collaborate with Marketing, Growth and IT teams to build durable data pipelines, reusable models and automated reporting, ensuring timely, accurate

Qualifications

• 6+ years of experience in advanced analytics, BI or analytics engineering.
• Advanced SQL knowledge with ability to write, optimize and debug complex queries.
• Strong data modeling, ETL/ELT workflows and production data quality.
• Proficiency in Python for data manipulation and automation.
• Experience with experiment design, measurement and inference (A/B tests, holdouts).
• Ability to translate business questions into audience logic and actionable insights.

Responsibilities

• Define audience definitions and translate briefs into targeted host audiences for large campaigns.
• Scope audience requirements with partners: segments, eligibility logic, exclusions, measurement plan.
• Build durable data pipelines and a central audience repository for scalable campaigns.
• Design and measure experiments, attribution windows and incrementality.
• Develop reusable measurement frameworks to keep campaign readouts consistent.
• Sharpen segmentation with cross-functional teams and codify plays per segment.
• Provide concise readouts with actionable recommendations and next opportunities.
• Automate repeatable processes to shorten campaign timelines.

Skills

SQL

Python

Data modeling

ETL/ELT

Experiment design

A/B testing

Audience segmentation

Campaign measurement

Tableau

Big data

Education

Bachelor's degree in CS/IT/Engineering

Tools

Presto

Hive

Spark

Tableau

Job description

Dear Candidate,

We are having an opening for Product Analytics Marketing - E- Commerce Industry

Working Days: Monday Friday (3 days in office.) Job Timing: Day shift

This is a hands-on analytics role, with a strong focus on audience segmentation and targeting, campaign measurement, experimentation and incrementality analysis. Were looking for someone who can translate business questions into the right audience logic, independently run rigorous analysis, and determine which interventions and segments are actually driving impact. Strong SQL, data modelling and pipeline skills are also important to make this work scalable and repeatable.

PositionProduct AnalyticsQualificationBachelor degree in Computer Science, Information Technology, Engineering, or a related technical fieldNumber of post3Office LocationBangalore Bellandur

Gurgaon - Decision Point Private Limited (LatentView Group) Block-A, Sector-30,Job TypeFull Time GenderMale/FemaleIndustryITSalary15 l to 25 LPAPrevious Work Experience7+years Key Skills & Requirements

• Own audience definition and delivery for scaled host outreach - translate campaign briefs into precise, well-targeted host audiences at a cadence of 200+ campaigns per quarter, and deliver them into campaign tooling on tight, often same-week timelines.
• Scope audience requirements with business partners before building: the segment, the eligibility logic, the exclusions, and the measurement plan.
• Build and maintain the data foundation behind scaled account management - durable pipelines, reusable host, listing and segment data models, and a central audience repository that takes one-off pulls off the critical path.
• Design and measure experiments on scaled outreach - test and control design, holdouts, attribution windows and incrementality - and report impact on availability, nights booked and retention.
• Develop scalable and reusable measurement frameworks so campaign read-outs stay consistent quarter over quarter and no team re-tests what is already known.
• Sharpen host segmentation in partnership with Account Management, Growth Marketing and Supply - top growers, decliners, churn risk, low share-of-wallet, pricing and availability opportunity - and codify the plays that move each segment.
• Proactively share concise campaign read-outs and deep-dive analyses with actionable recommendations: which segments and plays to scale, which to stop, and where the next opportunity sits.
• Support exception and rapid-turnaround requests (ERF) with the same rigour, so urgent business needs are met without compromising data quality or governance.
• Automate what is repeatable - replace manual audience pulls and recurring reporting with self-serve tooling, so campaign launch timelines shrink from weeks to days.
• Skills 6+ years of experience in advanced analytics, business intelligence or analytics engineering.
• Advanced expertise in SQL is essential - demonstrated ability to write, optimise and debug complex queries against large-scale data systems (e.g., Presto, Hive, Spark).
• Strong data modeling and pipeline skills - designing durable schemas, building and scheduling ETL/ELT workflows, and owning data quality, testing and documentation for production datasets.
• Proficient in experiment design, measurement and statistical inference, including A/B tests, holdouts, quasi-experiments and incrementality measurement.
• Proficiency in Python for data manipulation, automation and analysis.
• Strong business acumen - able to interrogate a business question, push back on a brief, and make sound judgment calls on segmentation and targeting logic rather than executing requests literally.
• Proven speed and reliability under time pressure; this is a high-volume, time-sensitive audience delivery role.
• Highly self-motivated, proactive and a self-starter, with the ability to independently find answers to technical questions and manage multiple competing priorities.
• Strong ability to translate complex technical concepts into common language, bridging communication between technical and non-technical stakeholders.
• Experience with visualisation tools (e.g., Tableau) is a plus.
• Exposure to marketing or lifecycle analytics, CRM/campaign platforms, audience management tooling, or supply-side operations is a plus.

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