Biodun Akinola
Bristol,Bristol
Summary
Workforce intelligence and HR analytics professional with over five years of experience supporting workforce planning, headcount and attrition management across complex organizations. Experienced in partnering with HR, Finance and leadership teams to translate workforce and financial projections into governance-ready Power BI dashboards that support hiring, resourcing and cost control decisions. Strong background in SAP SuccessFactors, advanced analytics and reporting transformation, with a proven ability to deliver trusted workforce insight that informs strategic and operational decision making.
Overview
11
11
years of professional experience
6
6
years of post-secondary education
1
1
Certification
Work history
HR Data Analyst
Renesas Electronics
Swindon, Wiltshire
2022.12 - 2026.01
- Own the design and delivery of workforce intelligence reporting to support strategic workforce planning and operational decision making across the organisation.
- Work closely with Finance leadership to translate headcount, hiring and attrition projections into live Power BI dashboards that track actuals against targets and highlight risks to workforce plans.
- Develop and maintain governance ready dashboards covering headcount, attrition, hiring and performance metrics, with a clear roadmap for incorporating cost per headcount and financial measures.
- Provide daily refreshed reporting used by HR Business Partners, Finance leadership and senior leadership teams, primarily to support monthly workforce reviews, hiring approvals, resource allocation and cost control.
- Analyse workforce trends including attrition patterns, talent movement and performance indicators to identify areas of risk and opportunity, directly influencing hiring and retention decisions.
- Lead the transition from static Excel based reporting to dynamic Power BI dashboards, improving data accessibility, consistency and confidence in workforce data.
- Act as a subject matter expert for HR reporting and analytics, supporting stakeholders with ad hoc analysis and complex data queries.
- Champion data quality and integrity by implementing validation checks and standardised definitions across HR reporting.
- Train HR colleagues and peers on SAP SuccessFactors Employee Central and reporting capabilities, improving self-service reporting and overall analytics capability within the function.
- Collaborate with HR, Finance and project teams using Jira to plan, track and deliver analytics initiatives in line with agreed timelines.
- Develop, maintain, and optimize HR reports using SAP SuccessFactors, ensuring accurate and timely delivery to support business objectives and key performance indicators (KPIs).
Data Analyst
Sterling bank Plc
2019.11 - 2020.12
- Responsible for the gathering of data, interpreting its distribution, and creating reports and charts for stakeholders. Scraped data from CRM tools and exported to relevant tools for analysis to get insights on staff productivity and suggested corrective measures for optimal productivity.
- Provided intelligence reports to stakeholders in the Customer Experience Management Department, helping them to see (at a glance and in-depth) the current position the banks productivity in areas such as the sales/portfolio position, market situation, customer insights, and sales staff feedback.
- Drive business performance by identifying and recommending, through data-driven research, opportunities for business growth and strategic initiatives for process improvements.
- Converted data into actionable insights to develop an understanding of customer service improvement by predicting and modelling future outcomes using Microsoft Excel, Microsoft Power BI and other visualization software to create visually impactful dashboards for data intelligence and reporting.
- Generated periodic Customer Insight reports by analysing customers’ interactions on CRM to inform strategic business decisions and maintained a 99% data accuracy standard to avoid misleading information and loss of funds.
- Was responsible for analysing the set performance metrics for agents in different teams within the Customer Care namely; Inbound, Outbound, Social Support, Service Support and Email Management. I also analysed the daily, weekly and monthly staff performance reports on all channels of interactions to identify the top-performing staff in each team.
- Conducted workload assessments and devised new operational processes that led to a 40% increase in productivity and a minimum of 80% agent utilization.
- Handled different reports analysing key performance indicators and key risk indicators affecting the contact centre.
Data and Transaction Analyst Trainee
Sterling bank Plc
2018.11 - 2019.11
- Built referral business opportunities, whilst proposing recommendations to grow client base. Assessed the overall quality, pinpointed issues, and implemented corrective actions by validating accounting management and reporting systems. Identified and capitalised on system optimisation opportunities through historical records, operational data, and forecasting information analysis. Prepared cash flow projections, cost analysis, and monthly, quarterly, and annual reports to facilitate informed decision-making. Oversaw high-volume accounting operations with an eight-person team to provide efficient customer service effectively increasing customer base by 18% within six months.
- Generated profits for the bank and increased customer base by leading the that eventually earned the highest productivity ratio during the lockdown.
- Nominated for team lead within six months of joining for consistently exceeding set performance KPIs.
- Expedited bank's product sales through an adaption of emotional intelligence in sales calls.
- Integrated new customer base through feedback data collation and evaluation.
- Played a pivotal part in growing the bank's profit by over 15% after eliminating taxes, representing a 75% boost in the bank's performance.
- Key member of the team that added features to core banking tool, resulting in increased productivity and swift complaint resolution.
Intern
Nigerian National Petroleum Cooperation
Kaduna
2015.07 - 2015.12
- Responsible for the daily recording of data for affluent and effluent tests on water used in the refinery to maintain the highest water quality.
- Supported in the production of biodegradable detergents and surfactants using Linear Alkyl Benzene, essentially guaranteeing environmental safety and cost effectiveness.
Education
MSc - Data Science
University of the West of England (UWE) Bristol
Bristol 2021.01 - 2022.01
BSc - Chemistry
University of Abuja
Nigeria 2011.01 - 2016.01
Skills
- Power BI and Tableau
- SAP SuccessFactors Reporting and Analytics(Employee Central)
- Advanced Microsoft Excel including pivot tables and VBA
- SQL for data extraction and analysis
- Python (Pandas, Numpy, Scikit learn, Matplotlib, etc)
- R (GGplot, Dplyr, Lubridate, KnitR, etc)
- JIRA (Project Planning and Tracking)
- Microsoft Office Suite (Word, PowerPoint, Outlook)
- Analytical Thinking and Problem-Solving
- Attention to Detail and Accuracy
- Communication and Presentation Skills
- Team Collaboration and Engagement
- Time Management and Prioritization
- Employee engagement analysis
Certification
- SAP SuccessFactors Employee Central Core Admin Expert (SFX) 2024
- Data Analysis (Masterschool) July 2022
- SQL (Masterschool) Aug 2022
- Descriptive Statistics (Masterschool) July 2022
- E-learning: Emotional Intelligence (1-6) Jan 2020
Interests
Football, Sudoku, Photography, Playing the Piano and the Guitar
M.Sc. Academic Projects
Analysing Credit card fraud detection models:, Developed an end-to-end machine learning pipeline exploring credit card fraud data, whilst conducting data wrangling/manipulation to transform it into a machine learning algorithm and a predictive model., Technologies used: python| scikit learn, pandas, NumPy, Jupyter, matplotlib. Version control (Gitlab), Exploratory Data analysis for web application development using python (flask, ML), and react(front-end), Designed a fully functional web application powered by a machine learning model to diagnose diabetes., stack: python| scikit learn, pandas, NumPy, Jupyter. JavaScript| React. HTML, CSS.
Data projects completed
- Developed a dashboard report on the pricing and listings of Airbnb in Seattle, USA.
- Designed a dashboard showing the amount of Covid deaths in different countries and defining the correlation between the poverty indexes of countries with deaths occurred.
- Created a tableau dashboard showing the sales of video games spanning several years, the cities and months with the highest sales.
- Gathered data for the optimization of Customer Relationship Management (CRM) tools, leading to faster resolution of stakeholders’ complaints.
Timeline
HR Data Analyst
Renesas Electronics
2022.12 - 2026.01
MSc - Data Science
University of the West of England (UWE) Bristol
2021.01 - 2022.01
Data Analyst
Sterling bank Plc
2019.11 - 2020.12
Data and Transaction Analyst Trainee
Sterling bank Plc
2018.11 - 2019.11
Intern
Nigerian National Petroleum Cooperation
2015.07 - 2015.12
BSc - Chemistry
University of Abuja
2011.01 - 2016.01