Product Analytics - Payments space- E- Commerce Industry

Teamplus Staffing Solution; Bengaluru; Hybrid; INR 2,500,000 - 4,800,000; Full time

Job summary

Teamplus Staffing Solution in Bengaluru is seeking a Product Analytics professional focused on payments for e-commerce. You will own audience definition, measurement, and experimentation across campaigns, partnering with engineering and product teams to instrument analytics and drive incremental conversions.

The role requires 4+ years in analytics, strong SQL, Python, and experience with large data systems, dashboards (Tableau), and A/B testing best practices.

Qualifications

• 4+ years in advanced analytics or BI.
• Strong SQL proficiency with large-scale data.
• Experience with A/B testing and experiments.
• Proficient in Python for data tasks.
• Ability to translate business questions into data solutions.

Responsibilities

• Define audience and deliver for 200+ campaigns per quarter.
• Scope audience requirements with partners and define segments.
• Build durable data pipelines and a central audience repository.
• Design and measure experiments; report impact on conversions.
• Develop scalable measurement frameworks for consistent read-outs.
• Sharpen segmentation with cross-functional teams.
• Share concise read-outs with actionable recommendations.
• Support urgent requests while maintaining data quality.
• Automate repeatable tasks to shrink campaign timelines.

Skills

Advanced analytics

SQL

Experiment design

Python

A/B testing

Data analysis

Stakeholder communication

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 - 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.

QualificationBachelor& degree in Computer Science, Information Technology,Engineering, or a related technical field

Number of post3Office LocationBangalore Belladur Job TypeFull Time GenderMale/FemaleIndustryE- Commerce IndustrySalary15 to 25 p.a.Previous Work Experience7+ years

Responsibilities

• 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.

Key Skills & Requirements

• 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.
• 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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