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BI / Data Analyst (Reporting, Power BI, SQL)

BI / Data Analyst (Reporting, Power BI, SQL)

Responsibilities

  • Collect and clarify requirements for reports from business units (sales, risk, recovery, finance, marketing, etc.).

  • Generate regular reports (daily/weekly/monthly) on key indicators:

    • disbursements, repayments, portfolio;

    • delinquency and portfolio quality;

    • recovery efficiency;

    • revenue, margin, and profit.

  • Prepare ad-hoc reports and samples based on business and management requests.

  • Working with databases:

    • write and refine SQL queries;

    • check the correctness of the data and the logic of calculations;

    • find and eliminate inconsistencies in the data.

  • Develop and maintain dashboards in Power BI:

    • simulate data and configure connections;

    • write measures and calculation columns on DAX;

    • create visualizations that are understandable to the business.

  • Use Excel and, if necessary, Jupyter Notebook for in-depth analysis:

    • summary tables, complex formulas, and Power Query;

    • sample analysis, hypothesis testing, and preparation of convenient slices.

  • Automate reporting:

    • optimize queries and report structure;

    • reduce the proportion of manual work.

  • Document reports, data sources, and calculation logic.

Requirements

  • At least 3 years of experience as a data analyst/ BI analyst/ reporting analyst.

  • Strong command of SQL:

    • JOIN, groupings, and subqueries;

    • basic understanding of query performance.

  • Experience working with SQL clients (for example, DBeaver, etc.).

  • Confident mastery of Excel:

    • summary tables;

    • working with large amounts of data.

  • Practical experience in building reports and dashboards in Power BI.

  • Attention to detail and accuracy when working with numbers.

  • The ability to communicate with businesses in simple language and translate queries into understandable requirements for data and reports.

  • Willingness to quickly immerse yourself in the specifics of microfinance business.

It will be an advantage

  • Work experience in an MFO, bank, or fintech company.

  • Understanding credit products, the customer's lifecycle, and delinquency rates.

  • Power BI: data modeling, DAX, visualization.

  • Excel: complex formulas, Power Query, working with large arrays.

  • Basic data analysis skills in Jupyter Notebook / Python.

  • Understanding financial and product metrics (preferably in a fintech/MFI/bank).

  • Experience in communicating with business customers and the ability to clarify requirements.

  • Accuracy and responsibility for the quality and deadlines of reports.

Conditions

  • Competitive wages.

  • A comfortable office in the city center.

  • Free dress code.

  • Friendly team and excellent working conditions.

Almaty
Full-time
Full-time
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