Help & Supportcareers@gravityer.com
Data Analyst with less than a year in Power BI & SQL
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Mission-driven Junior Data Analyst based with specialist skills in Power BI dashboard development, SQL data extraction and data cleaning, python analysis with direct experience applying data analysis across various sectors in Nigeria. Committed to translating complex business datasets into clear, actionable decision-support tools that help organizations improve outcomes, reduce inefficiencies, and serve communities better. Onsite-ready and immediately available to contribute to health-tech, NGO, fintech, or multinational teams in home and abroad seeking a dedicated, analytically rigorous junior analyst.
Chukwu Emeka Odumegwu Ojukwu University
B.Sc. Mass Communication · Mass Communication
August 1, 2022 – June 30, 2026
Tech Studio Academy
Data Analytics graduate · Data Analytics
N/A – Present
Retail Sales Performance Dashboard
June 19, 2026 – Present
Designed a Power BI dashboard tracking sales performance across 6 product categories, enabling management to isolate loss-making SKUs and reallocate resources — cutting estimated reporting time by 65%. Wrote SQL queries to extract and clean 3 years of transactional records, joining multiple tables and handling data quality issues before loading structured output into Power BI via Power Query. Identified a repeating seasonal demand pattern through trend analysis, documenting findings in a formal stakeholder report with clear charts and data-backed recommendations.
PROCUREMENT & SUPPLY CHAIN ANALYTICS
June 19, 2026 – Present
Analyzed procurement, transportation, and shipment operations data to identify causes of delivery delays, rising transportation costs, and operational inefficiencies. Conducted route efficiency analysis to identify high-delay routes, bottlenecks, and delivery performance trends across multiple cities. Evaluated transportation and fuel expenses to identify major cost drivers and opportunities for cost reduction. Analyzed the relationship between delivery distance, transportation cost, and delivery duration to support logistics optimization initiatives. Performed customer payment analysis to identify unpaid shipments, outstanding revenue exposure, and customer payment patterns. Assessed high-priority shipment performance and measured delivery effectiveness across transport modes and service levels. Designed and developed interactive Power BI dashboards featuring KPIs, trend analysis, operational monitoring, cost analysis, and executive reporting. Created executive-level performance metrics including Delivery Success Rate, Delay Percentage, Average Delivery Days, Transportation Cost, Fuel Cost, Unpaid Shipment Percentage, and High-Priority Delivery Success Rate. Generated actionable business insights and strategic recommendations to reduce delivery delays, improve route efficiency, optimize transportation spending, and enhance customer satisfaction.
Nigeria Malaria Trend Analysis
January 1, 2015 – January 1, 2022
Analyzed 50,000+ malaria case and mortality records across Nigeria using Python (Pandas) to identify incidence trends and high-burden states between 2015 and 2022 — directly relevant to digital health reporting needs. Applied Pearson correlation analysis and descriptive statistics to quantify the relationship between case volume and seasonal rainfall periods, producing Matplotlib visualizations suitable for NGO and government reporting. Built a Google Sheets stakeholder report with automated summary formulas replicating the structured data delivery format used by public health organizations such as eHealth4everyone and NMCP.
Tech_Studio Data Analytics Professional Certificate
Tech Studio Academy
January 1, 2026 – Present
Microsoft Power BI Data Analyst
Microsoft
January 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, spanning retail, supply chain, and public health, indicates adaptability and a broad interest in applying data analytics to different sectors. Their stated mission-driven approach and commitment to improving outcomes align well with organizations seeking impact-oriented analysts. The use of LLM tools suggests a proactive approach to leveraging new technologies, which can be a positive cultural indicator.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical thinking, report writing, and stakeholder communication skills through project descriptions. Their availability for onsite and hybrid roles, along with familiarity with collaboration tools like MS Teams and Google Workspace, indicates good operational fit. Attention to detail is evident in data cleaning and KPI development.