Joseph Akhimie

I am a dynamic professional with over 5 years experience in data analysis and business operations across the automotive, technology and healthcare sectors, with a strong background in IT management. I specialise in transforming complex datasets into actionable insights to optimise processes, improve operational efficiency, and support strategic business decisions.
Proficient in Excel, SQL(Advanced),Power BI(Advanced DAX), Tableau and Python(Advanced ML Models and LLMs), I have extensive experience managing and analysing large datasets, developing clear and impactful reports, and implementing system improvements to drive performance. My work spans streamlining IT operations, managing databases, and ensuring compliance in both hospital and automotive environments.

My key areas of expertise include:
-Data analysis & visualisation: leveraging Excel, Power BI, Tableau, and Python to extract insights from large datasets and communicate findings through compelling visualisations and data storytelling.
-Reporting & dashboards: designing clear, impactful, and interactive dashboards using Power BI, Tableau, and Excel to support strategic business decisions.
-Database management & SQL: querying, maintaining, and optimising databases to ensure accurate, reliable, and timely data for analysis.
-Predictive analysis & modelling: applying statistical techniques and Python to develop predictive models that forecast trends, identify risks, and support business strategy.
-Business intelligence & process optimisation: using data-driven insights to improve operational efficiency, streamline processes, and drive performance across departments.
-Compliance & auditing: ensuring data integrity and adherence to regulatory requirements in complex, regulated environments.

A forward-thinking problem solver with a collaborative approach, I am committed to continuous learning and delivering data-driven solutions that enhance business outcomes across diverse industries.

• Led the design and delivery of a Power BI KPI dashboard that significantly improved decision-making, reducing reporting turnaround times by 45% and enabling senior stakeholders to act on insights more quickly and confidently. 

• Performing in-depth sales and customer analysis using Tableau, uncovering high-value customer segments and supporting targeted marketing initiatives that increased conversion rates by 30%.

 • Automated weekly and monthly reporting processes using SQL and Power BI, reducing manual reporting effort by 50% while improving access to real-time performance data. 

• Drove a data quality improvement initiative, cleansing and standardising over 1 million records, which increased data accuracy by 95% and enhanced the reliability of management reporting. 

• Building predictive models to assess customer churn patterns, contributing to a 25% reduction in attrition through the implementation of proactive customer engagement strategies. 

• Collaborated closely with cross-functional teams, including marketing and finance, to translate business requirements into data-driven solutions, delivering clear and actionable insights to support strategic decision-making.

Msc Big Data Analytics, University of Derby
As a Master’s graduate in Big Data Analytics, I have developed a strong practical and theoretical foundation in transforming data into meaningful business insight. Through academic and applied projects, I gained hands-on experience in data wrangling, statistical analysis, business intelligence, and data visualisation, applying analytical techniques to real-world business and operational challenges.

I worked extensively with SQL, Python, Excel, Power BI, and Tableau to analyse large datasets, design interactive dashboards, and deliver clear, data-driven insights to support decision-making. My studies also strengthened my skills in data storytelling, predictive analysis, and data modelling, enabling me to communicate complex findings effectively to both technical and non-technical audiences.

I also developed a solid understanding of data governance, data quality, and ethical data use, alongside experience working in collaborative, project-based environments. I consistently applied critical thinking and problem-solving skills to deliver structured, actionable recommendations aligned with business objectives.

This academic journey has equipped me with the analytical mindset, technical capability, and professional discipline required to contribute effectively in data analyst roles across a range of industries.