Junior Data Analyst - SQL, Python, Power BI

Oluwaseun Ayo Ogunbowale

D a t a A n a l y s t S Q L P y t h o n P o w e r B I M S C D a t a A n a l y t i c s

Lucan, Co. Dublin 083-***-**** ************.**********@*****.*** linkedin.com/in/oluwaseun- ogunbowalenci

PROFESSIONAL SUMMARY

Results-driven Junior Data Analyst with hands-on experience in SQL, Python, and Power BI through academic and project-based work experience and 10+ years in financial services, bringing a rare combination of technical depth and business acumen. Skilled in transforming complex datasets into clear, actionable insights that drive strategic decisions. Proficient in SQL, Python, R, and Power BI, with a proven ability to deliver end-to-end analytics projects from data wrangling and predictive modelling to stakeholder presentations. Experienced in GDPR-compliant data handling, CRM systems, and cross-functional collaboration.

CORE SKILLS & TECHNOLOGIES

Analytics & Programming

• SQL — complex queries, joins, data cleaning and validation

• Python — pandas, NumPy, scikit-learn, LSTM, ARIMA/SARIMA time-series modelling

• R — statistical analysis, machine learning models, data visualisation

• Excel — advanced formulas, pivot tables, dashboards Visualisation & Reporting

• Power BI — interactive dashboards, DAX measures, data modelling

• PowerPoint — executive-level stakeholder presentations Other Technical

• Machine learning: classification, regression, neural networks, random forest

• Big Data: Google BigQuery

• CRM: Microsoft Dynamics CRM, Visual Basic–based student record systems

• Financial platforms: Finacle, Western Union, MoneyGram Certifications

• Google Data Analytics Professional Certificate (2023)

• Microsoft PL-300 Power BI Exam Preparation & Practice (2024) PROFESSIONAL EXPERIENCE

Compliance Analyst (Contract) Clúid Housing (via Parker Stewart) Apr 2025 – Jun 2025

• Conducted eligibility and affordability assessments for housing applicants, ensuring alignment with Clúid's compliance policies and scheme criteria.

• Analysed high-volume financial datasets (payslips, bank statements) to support eligibility decisions, ensuring 100% compliance with regulatory standards

• Maintained rigorous GDPR and data protection standards throughout all applicant interactions and record-keeping.

• Built and maintained accurate audit trails to support internal reviews and external regulatory inspections.

• Communicated assessment outcomes clearly to applicants, promoting transparency and fairness in the housing access process.

Customer Contact Centre Clerk An Post Ireland Sep 2024 – Mar 2025

• Delivered consistent, high-quality customer service in a busy postal service environment, resolving parcel and delivery queries efficiently using CRM and Excel tools.

• Maintained 100% accuracy in customer data management in compliance with GDPR requirements.

• Collaborated with the Dublin Parcel Hub and regional delivery units to facilitate timely parcel recovery and delivery achieving a 95% resolution rate.

Data Analytics Consultant Dowmans Limited (Enfuse Programme) Jan 2023 – May 2023

• Led a team of four analysts to deliver a full-cycle data analytics project, presenting findings and recommendations directly to company stakeholders.

• Built predictive models using LSTM and time-series analysis to forecast outcomes and identify business risks.

• Cleaned, validated, and transformed large datasets using SQL, Python, and Excel; developed a clear understanding of CRM and ERP systems in context.

• Championed data protection and quality standards across the organisation, contributing to improved data governance processes.

• Authored and presented final project deliverables including slides and technical documentation. Customer Service & Transactional Officer Skye Bank / Polaris Bank Jun 2015 – Aug 2022

• Managed customer mandates, authentication, and transaction data; generated reports and used CRM portals to analyse customer behaviour and resolve complaints within SLA turnaround times.

• Manage, execute daily and returns on finance reporting task for Retract Card, Cash, primed card, transfer & transactions consummated in a month.

• Administered payroll processing for corporate clients, including third-party payment confirmation.

• Lead and coordinate monthly reconciliation of internal account GL used for third party for FIR, Revenue etc

• Supported customer onboarding for mobile banking and ATM services.

• Performed ad-hoc financial analyses to support operational decision-making.

• Worked as relieved cash officer and assist with daily cash / Vault balance and Atm Jam (in and out from vault and system management.

Remittance Data Officer Mainstreet Bank Nigeria Jul 2011 – Jun 2015

• Verified and reconciled failed government remittance payments; maintained documentation for investigations and regulatory compliance.

• Produced customer-specific performance reports and developed KPIs for banking transaction reporting. EDUCATION

MSc Data Analytics National College of Ireland. 2.1 GPA 2022 – 2023 Key modules: Business Analytics & Business Intelligence · Database & Analytics Programming · Data Mining

& Machine Learning (I & II) · Statistics for Data Analytics · Modelling, Simulation & Optimisation · Domain Application of Predictive Analytics · Data Governance & Ethics · Research Project BSc Mathematical Science / Computer Science University of Agriculture. 2001 – 2006 Second Class Lower Honours

SELECTED PROJECTS

• Power BI Dashboard: Built an interactive business intelligence dashboard for an e-commerce dataset

(Atliq), covering sales trends, KPIs, and product performance.

• Used Car Price Prediction: Applied predictive analytics and regression modelling to forecast used car valuations.

• Bank Loan Classification, Stroke Prediction & House Price Prediction: Developed ML classification and regression models using Python (scikit-learn) and R across multiple real-world datasets.

• Time-Series Forecasting: Implemented ARIMA and SARIMA models to evaluate and forecast trends in a statistical analytics context.

• MSc Research: Investigated explainability of Neural Networks vs. Random Forest for employee retention prediction.

ACHIEVEMENTS & ACTIVITIES

• Best Customer Service Award – Skye Bank (2011 & 2012)

• Peer mentor and academic support volunteer at Epidata / NCI, assisting fellow data analytics students with IT and TOEFL exam preparation.

• Group representative and active contributor across collaborative academic and professional projects.

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