The Role
The Senior Data Analyst role involves analyzing business datasets, optimizing SQL for data extraction, and creating dashboards using visualization tools. Responsibilities include ensuring data quality and communicating findings to stakeholders.
Summary Generated by Built In
Job Summary - We are looking for a Senior Data Analyst with exceptional analytical skills and a proven ability to work with large, complex datasets. The ideal candidate is a SQL superstar who can extract, transform, and analyze data efficiently, while also building reports and dashboards that guide critical business decisions. This role is perfect for someone who thrives in fast-paced environments, loves solving problems with data, and can translate insights into actionable recommendations.
Key Responsibilities
- Data Analysis & RCA: Perform deep analysis on business datasets to identify trends, patterns, and anomalies. Translate raw data into clear, actionable insights for stakeholders.
- SQL & Data Extraction: Write highly optimized SQL queries for data extraction and manipulation. Ensure query performance is efficient even with large datasets. Act as the go-to expert in SQL best practices within the team.
- Reporting & Visualization: Build and maintain automated dashboards and reports to track business KPIs. Use tools like Tableau, Power BI, or Looker for data visualization. Create ad-hoc reports to answer urgent business questions.
- Data Quality & Management: Ensure accuracy, consistency, and reliability of data used for analysis. Collaborate with data engineering teams to maintain robust data pipelines. Proactively identify and resolve data quality issues.
- Stakeholder Communication: Present findings in a clear and concise manner to both technical and non-technical audiences. Support senior management with data-driven decision-making. Partner with business, operations, risk, finance, product teams to support problem solving and decision-making.
Skills, Knowledge & Expertise
- Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or related discipline.
- Minimum 3–5 years of experience in data analytics in data analytics or business intelligence.
- Strong SQL skills for analysis and reporting.
- Hands-on experience with at least one visualization tool is a plus (Tableau, Power BI, Looker).
- Excellent problem-solving skills and a structured, analytical mindset.
- Experience in fintech, lending, collections, risk, or consumer finance is a plus.
About
Tabby creates financial freedom in the way people shop, earn and save, by reshaping their relationship with money.The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 32,000 global brands and small businesses, including Amazon, Noon, IKEA and Shein use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.Tabby has generated over $7 billion in transaction volume for its partner brands and has the highest rated, most reviewed, largest and fastest growing app of any fintech in the GCC region.Tabby launched operations in 2020 and has raised +$1 billion in equity and debt funding from global and regional investors.
Skills Required
- Bachelor's or Master's degree in related discipline
- Minimum 3-5 years of experience in data analytics
- Strong SQL skills for analysis and reporting
- Hands-on experience with visualization tools (Tableau, Power BI, Looker)
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The Company
What We Do
Tabby is a financial technology company on a mission to create financial freedom by reshaping people's relationship with money through buy now, pay later services, allowing consumers to split purchases into interest-free payments.
