Lead Data Analyst

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Lead Data Analyst.

at Boku (View all jobs).

Mumbai.

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 250 local payment methods that reach 7 billion accounts across 65 countries.

Every year, Boku processes over $9 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.

Bokus 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, based in Mumbai, will collaborate as part of a cross-functional team with Commercial, Technical Project Management, Operations, and Customer Success to provide best-in-class analytics.

Objectives.

Identify trends and opportunities for growth through analysis of complex data sets.

Meet our stakeholders analytical needs by distilling data into actionable insights.

Create best-practice analytical assets based on data mining, analysis, and visualization.

Responsibilities.

Translate analysis requests into succinct analytics briefs that are shaped in such a way that you or another analyst can successfully deliver insights.

Take on the analysis of complex data sets to identify trends, patterns, and insights that inform strategic decision-making and improve business growth.

Develop advanced data models, dashboards, and reports to track measurements and provide actionable insights.

Work closely with stakeholders to understand and maintain focus on their analytical needs, including identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers.

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.

Partnering with stakeholders to lead metrics definition, reporting and analyses.

Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources.

Partner with data engineers to establish data assets and feature stores for process automation, advanced analytics, and machine learning model.

Manage the companys business intelligence reporting dashboards.

Develop presentations to share insights with partners.

Skills And Qualifications.

4+ years experience mining data as a data analyst.

Proven analytic skills, including mining, evaluation, analysis, and visualization.

Technical writing experience in relevant areas, including queries, reports, and presentations.

Excellent SQL and Excel skills with the ability to learn other analytic tools.

Well-versed in requirements gathering, analysis, and documentation.

Excellent communication skills with the ability to distill complex issues and analyses.

Skilled in building and maintaining collaborative relationships with.

Experience presenting findings and implications / recommendations to senior business stakeholders, using data to tell a compelling story.

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.

Prior experience with data warehousing concepts.

Prior experience with data ingestion, transformation, and loading processes (ETL/ELT).

Proven success in a collaborative, team-oriented environment.

Advanced 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 in modern advanced analytical tools and programming languages such as Python.

Software engineering fundamentals: version control systems (i e Git, Github) and workflows, and ability to write production-ready code.

Experience with data visualization software (preferably Tableau).

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