Data, Analytics & AI Talent — From Power BI to Machine Learning
Engage business analysts, data analysts, Power BI and business intelligence developers, data engineers, big data engineers, data architects, data scientists, machine learning engineers and AI research scientists — matched to your data, tools and ambitions.
Power BI Developers for Reporting Leaders Trust
Enterprise reporting and data visualisation sit close to Fabtech’s ERP and enterprise application work. Power BI and BI developers can help you model data properly, build dashboards people actually use and keep KPI reporting reliable.
- Data modelling & semantic models
- DAX measures & reporting logic
- Executive & operational dashboards
- ERP and line-of-business reporting
Data, Analytics & AI Roles
Nine specialist roles across insight, data platforms and intelligence. The exact skill set, experience level and technology stack are matched to your requirements.
Insight & Reporting
Understand the business and make data usable.
Business Analyst
Bridges business stakeholders and technical teams, turning needs into clear, testable requirements.
- Requirements gathering
- Stakeholder engagement
- Process mapping
- Functional specifications
- Business process analysis
- User stories
- Acceptance criteria
- Solution validation
Often engaged for: ERP and system implementations, process redesign.
Data Analyst
Prepares, cleans and analyses data to surface trends and measurable insight.
- Data preparation
- Data cleaning
- Exploratory analysis
- SQL-based analysis
- Reporting
- Trend identification
- KPI monitoring
- Business insight
Often engaged for: recurring reporting, ad-hoc analysis and KPI tracking.
Business Intelligence Developer
Builds Power BI data models, dashboards and reports for decision-makers.
- Power BI
- Data modelling
- Semantic models
- Dashboard development
- DAX & reporting logic
- Data visualisation
- KPI reporting
- BI platform optimisation
Often engaged for: dashboard programmes and reporting modernisation.
Data Platforms
Move, store and govern data at scale.
Data Engineer
Builds reliable pipelines that move and prepare data for analytics and AI.
- Data pipelines
- ETL/ELT
- Data integration
- Data quality
- Data warehouse development
- Data orchestration
- Pipeline monitoring
- Platform optimisation
Often engaged for: warehouse builds and consolidating data from multiple systems.
Big Data Engineer
Engineers distributed processing for large and fast-moving data.
- Distributed data processing
- Large-scale pipelines
- Data ingestion
- Batch & streaming processing
- Platform optimisation
- Distributed processing frameworks
Often engaged for: high-volume transaction, event or sensor data.
Data Architect
Designs the data landscape, models and standards the organisation builds on.
- Data architecture
- Data modelling
- Data platform design
- Integration architecture
- Data governance
- Data quality standards
- Warehouse & lakehouse architecture
- Platform scalability
Often engaged for: data strategy, platform selection and governance frameworks.
Intelligence
Predict, automate and innovate with AI.
Machine Learning Engineer
Takes models from experimentation into dependable production systems.
- Model development & deployment
- ML pipelines
- Feature engineering
- Model monitoring
- Model serving
- MLOps
- Model evaluation
- Production integration
Often engaged for: productionising models and MLOps foundations.
Data Scientist
Applies statistics and machine learning to forecast, explain and optimise outcomes.
- Statistical analysis
- Predictive modelling
- Experimentation
- Forecasting
- Machine learning
- Pattern identification
- Business insight
- Model evaluation
Often engaged for: demand forecasting, risk scoring and churn analysis.
AI / Research Scientist
Explores and prototypes applied AI, including natural-language processing and generative AI.
- AI research
- Model evaluation
- Applied machine learning
- Natural-language processing
- Generative AI research
- Experimentation
- Algorithm development
- AI prototyping
Often engaged for: AI proofs of concept and evaluating generative AI use cases.
The Right Expertise for Where You Are
Most organisations build data capability in stages. Engaging the right roles for your current stage avoids investing in advanced AI before the foundations are ready.
Report
Reliable, consistent reporting on core business performance.
Business Analyst · Data Analyst · BI DeveloperEngineer
Integrated, governed data from multiple systems.
Data Engineer · Data ArchitectPredict
Forecasts and models that inform decisions.
Data Scientist · ML EngineerInnovate
Applied and generative AI at scale.
AI / Research Scientist · Big Data EngineerData & AI Talent From an Intelligent-Platforms Company
Fabtech builds AI-enabled platforms and enterprise reporting. Explore the solutions behind our data and AI capability.
Data, Analytics & AI Talent FAQs
Can we request a Power BI developer for a short reporting project?
Yes. Power BI and BI developers can be engaged for a defined reporting project or on a longer arrangement, depending on your needs and the agreed contract.
Do we need a data engineer before a data scientist?
Often, yes. Predictive models depend on reliable, well-structured data. We can help you decide which roles fit your current data maturity before you commit.
Which data and AI tools do your specialists use?
Power BI features prominently in our data and analytics work. Other platforms, languages and frameworks are matched to your environment and confirmed for each requirement.
Request Data & AI Talent
Tell us about the data challenge, the roles you think you need and the tools you use. We will follow up to refine the profile.
Helpful to include
Data sources, reporting or modelling goals, tools in use, timing and working arrangement.
Prefer to talk?
(+254) 203 673 798 · (+254) 703 041 798
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