Associate Data Analyst with 1+ years in Power BI and SQL for executive insights
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Assessing your cultural and operational fit
Results-driven Junior Data Analyst with hands-on experience building production-grade Power BI dashboards and SQL pipelines that translate large, messy datasets into executive-ready insights. Proven ability to surface revenue risks, cost inefficiencies, and behavioral trends across healthcare and finance domains. Transitioning from an education background with a strong record of communicating complex information clearly — an asset for data storytelling and stakeholder reporting.
University of Ibadan
Bachelor of Education (B.Ed Health Education) · Health Education
August 1, 2025 – June 30, 2025
Gomycode
Data Analytics & Microsoft BI Certified · Data Analytics & Microsoft BI
August 1, 2025 – June 30, 2026
J.B.C Bootcamp
Data Analytics Bootcamp · Data Analytics
August 1, 2025 – June 30, 2026
Independent
Freelance Data Analyst
January 1, 2025 – Present
India
Stock Market Performance Dashboard
January 1, 2025 – Present
Ingested and modeled 200,000+ stock transactions; engineered KPIs including Highest/Lowest/Average Price, Total Volume, and Average Daily Change using SQL aggregations and DAX measures. Identified a $411.80 price range, confirmed a bullish trend (~$100 → $442), and detected volume-price divergence signaling selling pressure; recommended risk monitoring protocols and sector benchmarking. Dashboard included AI-powered visuals and dual-axis charts to surface pattern shifts at a glance for non-technical stakeholders.
Patient Outcome Analysis Dashboard
January 1, 2025 – Present
Processed 10,000 patient records representing $5.003B in treatment costs; built a 4-page Power BI dashboard covering Hospital Performance, Cost & Department, Branch & Payment, and Trends. DAX measures tracked Total Patients (10K), Average Treatment Cost ($514.7K), and Pediatrics referrals (684); analysis surfaced revenue leakage and underperforming departments. Delivered recommendations to scale cost-efficient care protocols and improve referral routing, reducing projected revenue leakage by identifying the highest-risk cost centers.
SSIS ETL Pipeline: Excel → SQL Server
January 1, 2025 – Present
Designed and automated an inventory data migration pipeline from Excel to SQL Server, incorporating schema validation, data type enforcement, and error logging to ensure query-ready output. Improved downstream reporting accuracy and operational readiness; pipeline reduced manual data prep time and established a repeatable ingestion framework.
Cultural Fit Analysis
The candidate's project diversity (finance, healthcare, inventory) and proactive learning (bootcamps, self-study Python) suggest a curious and adaptable individual. While the target role is 'Python / SQL – CrateDB Intern', the candidate's current experience is heavily skewed towards Microsoft BI stack. Their stated 'in progress' Python skills indicate an interest in aligning with the role, but the current breadth of skills is more aligned with a traditional Data Analyst role rather than a Python/SQL developer focusing on a specific database like CrateDB. The freelance nature of their work indicates an ability to work independently.
Soft Skills & Operational Fit
The candidate demonstrates strong communication skills through detailed project descriptions and the ability to translate complex data into actionable recommendations for non-technical stakeholders. Their freelance experience suggests self-motivation and project management capabilities. The transition from an education background highlights adaptability and a structured approach to learning, which could be beneficial in an intern role.