Product Analytics Marketing E- Commerce Bangalore & Gurgaon

• Product Analytics Marketing E- Commerce Bangalore & Gurgaon
• Company: Teamplus Staffing Solution
• Job Location: Haryana, India
• Employment Type: Full-time
• Experience Required: 7+ years
• Salary: 15L25L a year
• 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.

• Position
• Product Analytics
• QualificationBachelor degree in Computer Science, Information Technology, Engineering, or a related technical field
• Number of post3Office Location
• Bangalore Bellandur
• Gurgaon - Decision Point Private Limited (Latent
• View Group) Block-A, Sector-30,Job Type
• Full Time Gender
• Male/Female
• IndustryITSalary15 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.plus.
• JoiningImmediate .