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Abayomi OgungbuluregbeAO
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Abayomi Ogungbuluregbe

@abayomiogungbuluregb

BI / Data Analyst (UTC+1) | Power BI • SQL • Excel | KPI Dashboards & Data Quality | Reduced errors 90% and reporting time 8h→2h

Nigeria
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What I'm looking for

I am seeking BI/Data Analyst, Reporting Analyst, or Data Ops/Data Quality roles where I own reporting end-to-end: KPI definition, data cleaning/validation, dashboards, and decision-ready insights. Prefer remote-friendly teams (EMEA/UTC±), clear goals with autonomy, strong collaboration, and continuous growth.

BI/Data Analyst with 4+ years’ experience building reliable reporting systems end-to-end—from messy operational data through cleaning/validation, modeling, and executive dashboards. Background spans warehouse operations, finance reporting, and KPI performance tracking, which means analysis is grounded in real business workflows (not just charts).

Key outcomes delivered:

· Reduced reporting errors by 90% by implementing reconciliation and validation controls across recurring datasets

· Cut reporting turnaround from 8 hours to 2 hours (75% faster) by consolidating 5 data sources into executive reporting packs

· Led operational reporting and inventory controls in a wholesale warehouse environment, coordinating peak movement of 200–300 tonnes/week, managing ~50 staff, and supporting operations contributing to ₦10B+ company sales (Jan–Dec 2024)

· Built Power BI dashboards (DAX/Power Query) on 7,000+ records, improving data accuracy by 95% and reducing recurring reporting effort by 40%

Core tools: Power BI (DAX, Power Query), Excel/Google Sheets, SQL, and statistical analysis (EDA, regression/ANOVA). Interested in roles where data quality, KPI reporting, and decision-support directly improve operational performance.

Experience

Work history, roles, and key accomplishments

SS
Current

Power BI Intern (Analytics / Reporting)

Saiket Systems

Feb 2026 - Present (3 months)

Built and iterated Power BI churn dashboards on 7,000+ customer records. Developed Power Query ETL (15+ fields) improving data accuracy ~95% and removing duplicates. Created KPI scorecards (8 metrics, including churn/CLV/MRR), reducing recurring reporting effort ~40% via self-service. Presented weekly insights and refined metrics with stakeholders.

BL

Warehouse Operations & Inventory Lead

Baykam Paperland Industries Ltd

Mar 2024 - Jul 2025 (1 year 4 months)

Led warehouse ops and reporting for wholesale distribution; managed and coached ~50 staff supporting 200+ customers. Implemented standardized Excel/Sheets sales + stock/bin-card trackers and daily KPI routines for MD/ED. Coordinated peak 200–300 tonnes/week (up to 10 trailers/week). Enforced reconciliation/audit checks with zero recorded stock-loss incidents; supported ₦10B+ sales (2024).

KL

Operations Manager (Analytics Focus)

Karamat Ltd

Jan 2022 - Feb 2024 (2 years 1 month)

Primary reporting partner to MD/ED; owned reporting/data integrity across finance/HR/procurement/projects. Consolidated 5 data sources into exec packs, reducing turnaround by 75% (8 hours to 2 hours). Implemented reconciliation across 200+ monthly transactions (3 accounts), reducing errors 90%. Vendor pricing analysis cut costs 12% (₦500K+).

Education

Degrees, certifications, and relevant coursework

University of Lagos logoUL

University of Lagos

Bachelor of Science in Education, Mathematics

2016 - 2019

Grade: 3.5

Activities and societies: Publicity Head: Apostolic Faith Church Campus Fellowship 2017-2019

Built strong foundations in statistical analysis, mathematical modeling, probability, and quantitative reasoning. Applied mathematical concepts to problem-solving, data interpretation, and structured analysis, forming the analytical base for business intelligence, data analysis, and evidence-based decision making.

FN

Federal College of Education, Kontagora, Niger State, Nigeria

Nigeria Certificate in Education, Mathematics & Computer Science

2011 - 2015

Grade: 4.2

Activities and societies: Executive: Apostolic Faith Church Campus Fellowship 2011-2015

Developed early competence in numerical analysis, logical reasoning, and computer-based problem-solving. Combined mathematics and computing fundamentals to support structured thinking, data handling, and analytical approaches later applied in operations and data analytics roles.

Tech stack

Software and tools used professionally

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