Insight Analyst
Paysafe
London, GB
2d ago

Paysafe Limited ( Paysafe ) (NYSE : PSFE) (PSFE.WS) is a leading specialized payments platform. Its core purpose is to enable businesses and consumers to connect and transact seamlessly through industry-leading capabilities in payment processing, digital wallet, and online cash solutions.

With over 20 years of online payment experience, an annualized transactional volume of US $92 billion in 2020, and approximately 3,400 employees located in 12+ global locations, Paysafe connects businesses and consumers across 70 payment types in over 40 currencies around the world.

Delivered through an integrated platform, Paysafe solutions are geared toward mobile-initiated transactions, real-time analytics and the convergence between brick-and-mortar and online payments

Further information is available at .

Purpose

The insight analyst will play a key role in developing our digital wallets consumer and merchant strategy / proposition, this is a real hybrid role across analytics and strategy in a business where decisions and opportunities are driven by data.

Working alongside the wider funnel optimization team you will help drive an insight led consumer approach across the life stages, from ensuring that we acquire the right consumers all the way through to nurturing and retaining existing customers to stretch value.

Working with stakeholders across product, marketing and UX you will generate insights through deep dive analysis that optimize customer experiences across multiple channels, from CRM through to in-account product flows and customer services.

The role is working on our core digital wallets Skrill & Neteller supporting global growth across multiple verticals for both our consumers and merchants.

Role

  • Reporting & evaluation of CRM campaigns and programmes to understand both financial impact & key consumer behaviors (SQL)
  • Support the consumer CRM team in planning for campaigns and programmes across the life stages (from conversion to cross-sell)
  • Making recommendations to cross-business stakeholders on best practices for utilizing insight developed propensity models and analysis
  • Forecasting impact of marketing campaigns and product led initiatives using historical consumer data and previous campaign learnings to inform approach
  • Deep dive analysis across the funnel to identify key pain points and opportunities, working with strategic insight manager to make actionable recommendations to improve product flows and consumer experiences
  • Optimization of models in excel and tableau to empower stakeholders across the business to self-serve high level insights
  • Propose, set up and evaluate impact of test and learn across both product and marketing landscapes
  • Working with stakeholders from insights, BI and data management to support on automation of processes & reports to free up time for the team
  • Managing BAU requests from stakeholders across the business relating to insight and data queries across the life stages
  • Working cross-functionally with stakeholders from data management, UX / UI and product to ensure we have the right data environment to deliver omni channel strategies
  • Experience

  • 3+ years working in a fast-paced analytics environment (Financial sector or agency experience is a bonus but not a requirement)
  • Experience working with SQL is a requirement for the role (Upskilling can also be provided by the wider analytics and data science team)
  • Experience working with large global data sets is highly desirable
  • Experience using Tableau, Salesforce, SPSS is a bonus but certainly not a requirement
  • Equally as comfortable crafting strategies as generating insight through analyzing historical consumer / transactional data
  • Confident in presenting insights in a clear actionable way to stakeholders of varying levels of seniority
  • Data obsessed with a focus on the so what and passionate about improving consumer experiences
  • Key Development areas

  • Working with wider insight team to develop both analytical capabilities & strategic application of data and insights
  • Developing and upskilling in SPSS modeller to both build segmentations and evaluate campaigns
  • Experience working holistically and engaging with multiple stakeholders across product, marketing and CS (This is not a back-office analyst role )
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