Senior Product Analyst

About MSET

At MSET, we are a leading Loyalty Services Company specializing in Next Generation Digital Solutions to propel client growth. Since our inception in 2019, we have developed and operate a proprietary loyalty solution that ensures measurable returns for our clients. With a global presence, we offer a complete suite of Loyalty Management Services covering strategy creation, operational management, App Development, Data Analysis, Quality Assurance, and Solutioning. Our multinational teams, based in the UK, UAE, India, and Pakistan, are dedicated to Lifecycle Management, leveraging meaningful data insights to drive success for our clients.

Role: Senior Product Analyst – Data

Senior Product Analyst – Data

Key Responsibilities

• Partner with Product Managers to deliver

  pre-development insights

  for data-driven decisions.
• Collaborate with developers to

  track and measure feature performance

  .
• Analyze large datasets to uncover

  customer behaviors, trends, and opportunities

  .
• Translate data findings into

  clear product recommendations

  and actionable insights.
• Define, track, and monitor

  key product metrics (KPIs/OKRs)

  .
• Work with cross-functional teams (Product, Engineering, Operations, Marketing) to

  ensure data-backed product strategies

  .
• Conduct

  A/B testing, cohort analysis, funnel analysis, and retention analysis

  .
• Provide

  dashboards, reports, and visualizations

  to stakeholders.
• Contribute to building and refining a

  data-driven culture

  across teams.

What We’re Looking For

• 6+ years

  of experience in

  product analytics / data analytics

  .
• Strong proficiency in

  SQL, Python/R

  for data manipulation and analysis.
• Hands-on experience with

  BI tools

  (Power BI, Tableau, Looker, etc.).
• Experience in

  A/B testing, experimentation frameworks, and statistical analysis

  .
• Familiarity with

  product metrics, customer journey analytics, and lifecycle management

  .
• Strong business acumen and ability to influence stakeholders with insights.
• Excellent communication and storytelling skills to translate data into strategy.