Data Analytics engineer

roam
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📍 Accra, GhanaFull time

About this role

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 Company's 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 Company’s 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
  • Bachelor’s Degree in: Computer Science, Information Technology, Statistics and Data Science, or related field
  • Minimum of 2–5 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.

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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 4,000 - GHS 5,000
Other Benefits: SSNIT, 13th Month Salary, & Performance Incentives

Frequently Asked Questions

Is the salary disclosed for the Data Analytics engineer position at roam?
The salary for this Data Analytics engineer role at roam is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Analytics engineer position at roam located?
This Data Analytics engineer role at roam is based in Accra, Ghana. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data Analytics engineer role at roam full-time or part-time?
This is listed as a Full time position. It is posted as a Data Analytics engineer role at roam.
How do I apply for the Data Analytics engineer position at roam?
Click the "Apply Now" button on this page. You will be redirected to roam's official application portal hosted on zohorecruit where you can submit your application directly.
When was the Data Analytics engineer job at roam posted?
This Data Analytics engineer position at roam was posted on Jun 22, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Analytics engineer
roam
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