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.