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Boku

Lead Data Analyst

Posted 2 Days Ago
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Mumbai, Maharashtra
Senior level
Mumbai, Maharashtra
Senior level
The Lead Data Analyst at Boku will analyze complex data sets to identify trends and opportunities for growth, present insights to stakeholders, and work with cross-functional teams to provide data-driven analysis. This role requires expertise in SQL, Excel, and data visualization tools.
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Boku Inc. (BOKU.L) is the leading global provider of local mobile-first payments solutions. Global brands including Amazon, DAZN, Meta, Google, Microsoft, Netflix, Sony, Spotify, and Tencent rely on Boku to reach millions of new paying consumers who do not use credit cards with our purpose-built payment network of more than 300 local payment methods across 70+ countries. Every year, Boku processes over $10 billion in value for our customers. Incorporated in 2008, Boku is headquartered in London and San Francisco and has employees in over 39 countries around the world, including Brazil, China, Estonia, Germany, Ireland, Japan, Singapore, and the UAE. Boku is a truly global company that takes pride in its diversity and thriving equal opportunity workplace.

JOB OVERVIEW:

Boku’s Business Intelligence Team is expanding, and we are looking for an experienced Data Analyst to join us. BI works directly with stakeholders to provide data-driven analysis, insights, and optimization suggestions. This role will collaborate as part of a cross-functional team with Commercial, Technical Project Management, Operations, and Customer Success to provide best-in-class analytics. This is a high visibility, client-facing role with the ability to make an impact on our business.

OBJECTIVES:

  • Identify trends and opportunities for growth through analysis of complex data sets
  • Meet our stakeholder’s analytical needs by distilling data into actionable insights
  • Regularly present to internal and external stakeholders on KPIs

RESPONSIBILITIES:

  • Work closely with stakeholders to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs
  • Proactively analyze data to answer key questions from stakeholders or out of self-initiated curiosity with an eye for what drives business performance, investigating and communicating areas for improvement in efficiency and productivity
  • Analyze dashboards and complex datasets to identify trends, patterns, and insights that inform strategic decision-making and improve business growth
  • Present insights and findings to internal and external stakeholders
  • Partner with stakeholders to lead metrics definition, reporting and analyses
  • Partner with data engineers to establish data assets and feature stores for process automation, advanced analytics, and machine learning model
  • Partner with Business Intelligence developers to create dashboards

SKILLS AND QUALIFICATIONS:

  • 7+ years experience mining data as a data analyst
  • Proven analytical skills, including mining, evaluation, analysis, and visualization
  • Excellent communication skills with the ability to distill complex issues and analyses
  • Skilled in building and maintaining collaborative relationships with partners
  • Technical writing experience in relevant areas, including queries, reports, and presentations
  • Experience presenting findings and implications / recommendations to senior business stakeholders, using data to tell a compelling story
  • Excellent SQL and Excel skills with the ability to learn other analytic tools
  • Well-versed in requirements gathering, analysis, and documentation
  • Experienced self-starter with a problem-solving focus, an analytical mindset, and extreme attention to detail
  • Proficient in written and spoken English in a business setting

PREFERRED QUALIFICATIONS:

  • Proven success in a collaborative, team-oriented environment
  • SQL skills to get the data you need from a data warehouse (e.g., Redshift, Hive, SparkSQL, Athena) and perform data segmentation and aggregation from scratch
  • Experience with data visualization software (preferably Tableau)

Top Skills

Excel
SQL

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