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Learn my storyProfessional Summary
Results-driven data professional with 5+ years of experience designing and managing end-to-end analytics infrastructure — from data modelling and SQL pipelines to Power BI dashboards trusted by 50+ stakeholders daily. Specialises in translating complex business requirements into actionable KPIs and visualisations, with a strong track record in data quality governance, reporting standards, and driving self-service analytics adoption. Proven ability to work cross-functionally with business units, data engineers, and IT teams to ensure data integrity, compliance, and operational effectiveness. Proficient in the Microsoft BI stack (Power BI, DAX, Power Query, Azure Synapse Analytics), advanced SQL, and Python, with hands-on experience in Agile delivery environments.
Technical Skills
BI & Visualisation
Power BI (DAX, Power Query, incremental refresh, role-based security), Tableau, Looker Studio
SQL & Data Modelling
Advanced SQL, PostgreSQL, Snowflake, query optimisation, incremental loads, dimensional modelling, ETL/ELT concepts
Microsoft Ecosystem
Azure Synapse Analytics, Power Query, Excel (advanced), Power BI Service, Microsoft 365
Programming & Analytics
Python (Pandas, data wrangling, report automation, predictive modelling, A/B testing, statistical analysis)
Product & Performance Analytics
KPI framework design, metrics catalogue development, retention cohorts, CAC, LTV, funnel analysis, MRR tracking, Mixpanel
Governance & Collaboration
Reporting standards, data compliance, documentation, data quality monitoring, Agile (Scrum/Kanban), Jira, Confluence, Git
Professional Experience
Data Analytics Engineer
Kela Analytics · Remote
Sep 2024 – PresentCurrent
- Analysed large datasets (2 TB+) to uncover trends, patterns, and actionable business opportunities, presenting findings directly to senior leadership through purpose-built executive summary dashboards that influenced quarterly resource allocation.
- Developed, maintained, and optimised a suite of 20+ real-time Power BI dashboards covering product performance, revenue metrics (MRR, CAC by channel, LTV:CAC), and operational KPIs — used daily by 50+ stakeholders across finance, sales, and operations.
- Collaborated with business stakeholders across teams to gather reporting and analytical requirements, translating them into meaningful data models, KPIs, and dashboard outputs aligned to strategic objectives.
- Performed rigorous data validation and quality checks; built a data-quality monitoring dashboard with real-time alerts, reducing dashboard errors by 85% and establishing it as the authoritative source of truth for business reporting.
- Delivered ad-hoc analysis and decision-support reporting for multiple business functions, enabling leaders to make informed, evidence-based decisions without waiting for scheduled reporting cycles.
- Interpreted and communicated analytical findings clearly to both technical and non-technical stakeholders through drill-through dashboards with dynamic filters and bookmarks, enabling executives to navigate from top-line summaries to granular transaction detail independently.
- Supported the development and adoption of reporting governance and best practices, redesigning reporting infrastructure across 15+ data sources to cut manual reporting effort from 40 hrs to 10 hrs per week.
- Led end-user onboarding for 30+ business users; produced user guides and walkthrough videos that drove a 40% increase in self-service analytics adoption and reduced ad-hoc analyst requests within two months.
- Monitored business performance metrics (retention cohorts, churn rate trends, funnel conversion drop-off) and provided proactive insights enabling the product team to identify and prioritise user experience improvements.
Data Analyst
Abia Tech Hub Limited · Umuahia, Nigeria
Jun 2023 – Sep 2024
- Analysed and interpreted complex datasets from 10+ siloed departmental systems, consolidating them into a single authoritative Power BI KPI dashboard that eliminated duplicated reports and gave management one unified view of business health.
- Translated business and reporting requirements from multiple stakeholders into data models, KPIs, and dashboard outputs covering finance reconciliation, inventory tracking, and operational performance.
- Rebuilt SQL query logic across core reporting pipelines, cutting average execution time from 8 minutes to 4 minutes and enabling operational teams to shift from end-of-day to near-real-time reporting.
- Applied incremental refresh and query-folding optimisations to Power BI models, reducing average report load time by 35% — measurable impact confirmed by users within the first refresh cycle after deployment.
- Established automated data-quality monitoring processes, achieving 98% accuracy across all dashboard outputs; stakeholder escalations about incorrect figures dropped to near-zero within 60 days.
- Implemented role-based access controls on 15+ departmental dashboards, ensuring data compliance and security requirements were met and sensitive metrics remained visible only to authorised teams.
- Worked closely with IT and data engineering teams to ensure availability and integrity of data sources feeding Power BI models and reporting pipelines.
- Created and maintained documentation for dashboards, data processes, and reporting standards; ran interactive training workshops for 3 departments, enabling business users to self-serve and interpret analytics without routing requests through the data team.
- Supported the adoption of reporting standards and governance frameworks, establishing consistent KPI definitions and report templates used across all departments.
Power BI Developer Intern (Part-time)
ZoomCharts · Remote
Jul 2023 – Feb 2024
- Built and optimised 10+ client-facing Power BI dashboards using advanced DAX and time-intelligence functions; load performance improved by 30%, validated through end-user testing with 100+ users.
- Designed cross-functional KPI dashboards mapping sales, marketing, and operations metrics to shared business objectives, enabling department heads to monitor performance without analyst intervention.
- Implemented drill-down visuals (bar, geo, funnel) for multi-level data exploration, reducing stakeholder follow-up questions on drill-through by an estimated 50%.
- Maintained a bi-weekly dashboard maintenance cycle, resolving broken data connections, refactoring DAX logic, and shipping new metrics on schedule — demonstrating ability to work independently and collaboratively in a fast-paced delivery environment.
- Stayed current with ZoomCharts visualisation innovations and Power BI platform updates, applying new features to continuously improve client-facing dashboard experiences.
Data Analyst
Street Waste Company Limited · Lagos, Nigeria
Jan 2022 – May 2023
- Automated recurring Excel and Power BI reports using Python and SQL scripts, cutting report generation time from 5 hours to 2 hours per cycle, freeing capacity for proactive analysis.
- Built an operational Power BI dashboard for waste-collection management used by 25+ stakeholders, providing route managers with real-time visibility into collection volumes, route performance, and SLA compliance.
- Designed a geographic heat-map dashboard visualising collection density by zone; operations managers used outputs to rebalance routes, reducing vehicle idle time by 20% within the first quarter.
- Developed Python-based demand forecasting and statistical models, surfaced directly inside dashboards — adopted by the operations team for weekly planning within two months of launch.
- Defined and documented a metrics catalogue in collaboration with operations managers, translating business questions into measurable KPIs and establishing it as the single source of truth across all teams and reporting cycles.
- Monitored business performance metrics and provided proactive insights via a weekly executive summary dashboard consolidating financial, operational, and field KPIs — eliminating 3 hours of manual slide preparation before each leadership meeting.
- Ensured data accuracy and adherence to reporting standards by establishing quality checks across all pipelines, supporting a culture of data-driven decision-making aligned with business compliance requirements.
Education
Bachelor of Science in Statistics
Abia State University (ABSU), Uturu, Nigeria