Dear Candidate,

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

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

We are looking for someone familiar with payments processing, conversion funnel optimisation, measuring incremental conversion. Good knowledge of A/B testing strategies (full life cycle starting with sizing, monitoring the impact and communicating the results to leadership), experience working with engineers to provide instrumentation requirements and strong communication/presentation skills.

Knowledge of statistical techniques - Regression / Clustering / Segmentation / etc will also help.

PositionProduct Analytics - Payments Space. QualificationBachelor& degree in Computer Science, Information Technology,

Engineering, or a related technical fieldNumber of post3Office LocationBangalore Belladur Job TypeFull Time GenderMale/FemaleIndustryE- Commerce IndustrySalary15 to 25 p.a.Previous Work Experience7+ years Key Skills & RequirementsOwn 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 4+ 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.

Solid 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.JoiningImmediate

📌 Product Analytics - Payments space- E- Commerce Industry (Bengaluru)
🏢 TeamPlus Staffing Solution
📍 Bengaluru