Data Analyst
Full Time - Hybrid @ITJobs.lk posted 1 hour ago in Data & Analytics: Email JobJob Description
Location: Colombo, Sri Lanka (Hybrid)
Job Type: Full-Time
Company: A leading FinTech
About the Role
We are seeking a data-driven and detail-oriented Data Analyst to join a leading FinTech firm in Colombo.
In this hybrid role, you will analyze large financial datasets, build high-impact business intelligence dashboards, and extract actionable insights to drive financial product growth, transaction volume optimization, customer retention, and risk mitigation strategies.
Key Responsibilities
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Analyze complex financial, transactional, and user activity datasets to uncover growth trends, fraud anomalies, and operational bottlenecks.
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Design, build, and maintain interactive dashboards and reports using Power BI or Tableau for senior executive decision-making.
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Write optimized, complex SQL queries to extract, transform, and join data across disparate relational and non-relational databases.
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Perform statistical analysis, customer segmentation, attrition modeling, and A/B testing evaluation for FinTech products.
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Collaborate closely with Product Managers, Data Engineers, and Risk & Compliance teams to define key performance indicators (KPIs).
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Translate raw financial data into compelling visual narratives and executive presentations.
Requirements & Qualifications
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Experience: Minimum of 2 years of hands-on professional experience as a Data Analyst or Business Intelligence Analyst (experience in FinTech, Banking, Financial Services, or E-commerce is a major advantage).
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Professional Certification: Candidates holding at least one relevant industry certification are highly preferred:
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Microsoft Certified: Power BI Data Analyst Associate (PL-300)
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Google Data Analytics Professional Certificate
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Tableau Certified Data Analyst
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AWS Certified Data Analytics / AWS Certified Data Engineer
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IBM Data Analyst Professional Certificate
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Core Technical Skills:
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Advanced proficiency in SQL (joins, window functions, CTEs, query optimization).
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Strong expertise in visualization tools (Power BI, Tableau, or Looker).
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Advanced skills in Excel / Power Query (nested formulas, pivot modeling, data transformation).
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Proficiency in Python or R for statistical modeling and automated data processing is a strong plus.
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Education: Bachelor’s Degree in Data Analytics, Computer Science, Statistics, Mathematics, Finance, or a related quantitative field.
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Excellent analytical, problem-solving, and communication skills in English.
What We Offer
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Competitive Compensation: Market-competitive salary package.
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Hybrid Work Setup: Balanced combination of remote work and in-office collaboration in Colombo.
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FinTech Scale & Impact: Exposure to high-frequency transactional data, modern cloud data warehouses, and cutting-edge financial technologies.
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Career Growth: Guided pathways into Senior Analytics, Data Science, or Product Analytics roles.