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Data Analytics engineer
Job Location:
Monthly Salary:
Not provided by the employer
Monthly Salary:
Experience Required:
2-5years
Experience Required:
Posted:
23 June 2026 (30+ days ago)
Posted:
Application Deadline:
20 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job summary
A Data Analytics Engineer is responsible for the administration optimization security and analysis of enterprise databases as well as developing business intelligence reporting and data-driven decision-making for the Companys Customers. The role combines: Database Administration (DBA) Advanced SQL Development Data Analytics Business Intelligence Reporting and Data Engineering. The successful candidate will play a key role in ensuring the availability integrity performance and reliability of data systems while developing insightful dashboards and analytics solutions to support customer decision-making.
Key Responsibilities
SQL Development & Data Engineering
- Advanced SQL Development
- Develop and maintain:
- Complex SQL scripts
- Stored procedures
- Database functions
- Views
- ETL processes
- Batch processing scripts
Query Optimization
Write and optimize:
- Complex SELECT statements
- JOIN operations
- Window functions
- Common Table Expressions (CTEs)
- Dynamic SQL queries
Data Automation
Develop automated processes for:
- Data synchronization
- Scheduled reporting
- Data validation
- Data cleansing
- Reporting pipelines
Data Warehousing Support
Assist in:
- Data warehouse development
- Data transformation
- Data mart creation
- Aggregation and analytics structures
Data Analytics & Business Intelligence
Data Analysis
- Analyze operational and transactional data to identify:
- Trends
- Patterns
- KPIs
- Exceptions
- Risk indicators
Dashboard & Reporting
Develop and maintain dashboards and reports using the Companys BI tool:
To develop:
- Executive dashboards
- KPI scorecards
- Operational reports
- Drill-down analytics reports
- Trend and performance reports
Business Intelligence Support
- Design and maintain:
- Star schemas
- Dimensional models
- Data marts
- Reporting structures
Data Quality & Governance
Data Quality Management
- Implement and monitor:
- Data validation rules
- Duplicate detection
- Data consistency checks
- Data cleansing processes
Data Governance
Maintain:
- Data standards
- Naming conventions
- Metadata documentation
- Data structure documentation
Requirements
Required Qualifications
- Bachelors Degree in: Computer Science Information Technology Statistics and Data Science or related field
- Minimum of 25 years experience in database administration SQL development or data analytics.
- Professional certifications in SQL Server PostgreSQL Power BI or Data Analytics will be an added advantage.
Required Technical Skills:
Database Technologies
- Microsoft SQL Server
- PostgreSQL
- Oracle Database (advantage)
SQL & Database Skills
Strong knowledge in:
- SQL scripting
- Query optimization
- Stored procedures
- Triggers
- Views
- Functions
- Database indexing
- Performance tuning
- Backup and recovery
Analytics & BI Skills
- Power BI
- Tableau
- Data modeling
- Dashboard development
- KPI reporting
- Statistical and trend analysis
Data Engineering Skills
- ETL development
- Data transformation
- Data warehousing
- API integrations
Soft Skills
- Strong analytical and problem-solving skills
- Excellent attention to detail
- Good communication and presentation skills
- Ability to work independently and within teams
- Strong business and reporting mindset
- Ability to explain technical information to non-technical users
- Creativity and innovation
- Goal-oriented mindset
- Ability to work under pressure and meet targets
Key Performance Indicators (KPIs):
Performance for this role will be measured using:
- Database up time and availability
- Query performance optimization
- Report and dashboard delivery timelines
- Data accuracy and quality levels
- Reduction in data inconsistencies
- Efficiency of analytics reporting
- Customer satisfaction with reports and dashboards
Ideal Candidate Profile
The ideal candidate should:
- Have strong SQL scripting and database administration skills.
- Be highly analytical and business oriented.
- Be capable of translating data into actionable business insights.
- Understand enterprise systems and reporting environments.
- Be proactive in identifying opportunities trends and operational risks through data analysis.
- Have experience working with business intelligence and analytics tools.
Benefits
Salary: GHS 4000 - GHS 5000
Other Benefits: SSNIT 13th Month Salary & Performance Incentives
Required Skills:
* Bachelors Degree in: Computer Science Information Technology Statistics and Data Science or related field * Minimum of 25 years experience in database administration SQL development or data analytics. * SQL & Database Skills * Database Technologies * Analytics & BI Skills * Data Engineering Skills * Professional certifications in SQL Server PostgreSQL Power BI or Data Analytics will be an added advantage.
Required Education:
Bachelors Degree in: Computer Science Information Technology Statistics and Data Science or related field
