Business data analyst at Kinz Global Consult Limited in Lagos (Remote)

Organization:

Kinz Global Consult Limited

Job Location:

Lagos (Remote)

Employment Type:

Full time
Date Posted:

Job Description

Duties

  • Formulate and implement data verification checks to guarantee precision, thoroughness, and uniformity of data collections.
  • Assist ETL and data pipeline running test by checking document counts, transformations, and joins.
  • Compose and enhance sophisticated SQL (PosgreSQL) queries to confirm data transformations, aggregations, and business regulations.
  • Use Excel (improved processes, pivot tables, charts, macros) to interpret data and organize documentation for participants.
  • Collaborate with developers, Quality assurance engineers, and business teams to explore discrepancies and enhance data accuracy methods.
  • Execute root cause evaluation on data anomalies and propose corrective actions.
  • Build and preserve data accuracy dashboards, documentation, and recordkeeping.
  • Convert organizational needs into data qualifications and confirmation logic.
  • Help in producing and preserving metadata, data dictionaries, and data lineage recordkeeping. Support to an environment that fosters data administration, precision, and responsibility.

Expertise

  • (4+ years) as a Business data analyst, Business Evaluator, or similar position in data-heavy environments.
  • Robust SQL proficiency (joins, window processes, aggregations, subqueries, effectiveness tuning).
  • Improved Excel competencies (pivot tables, VLOOKUP/XLOOKUP, INDEX/MATCH, dependent formulas, macros preferred).
  • Verified ability to recognize and settle data accuracy concerns and variations.
  • Understanding with relational databases (PostgreSQL (critical), MySQL, SQL Steward, etc.).
  • Deep knowledge of information accuracy, confirmation, and compliance principles.
  • Capability to operate with large, sophisticated data collections under tight due dates.
  • Clear expression competencies to work alongside technical and non-technical participants.

Nice-to-Possess abilities:

  • Expertise with data visualization resources (Tableau, Power BI, Grafana).
  • Expertise in statistical methods for data verification and anomaly discovery.
  • Exposure to ETL methods and data pipeline supervising.
  • Understanding with Python or R for data cleaning and evaluation.
  • Expertise with big data channels (ClickHouse, Hadoop, Spark).

Application Due Date

  • Wednesday 24th Sep, 2025

Steps To Apply

Suitable applicants should send their Resume to: cv@kinzglobalconsult.com using the Position name as the subject of the mail.

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