Mohammed Uwais

I have over six years of experience as a Data Analyst, with a strong track record of leveraging data to drive business decisions and improve operational efficiency. Currently, I work at Wickes, where I lead the development and automation of data reports and dashboards using QlikSense. My role involves collaborating with cross-functional teams to provide actionable insights and support data-driven decision-making.

In my previous role as a Senior Data Analyst at Coventry & Rugby GP Alliance from October 2022 to January 2023, I saved significant operational time by implementing Excel and Power Query solutions, trained a junior analyst to a high proficiency level in BI tools, and led a project that improved medication management, reducing visitation errors by 20%.

Prior to this, I worked as a Business Intelligence Analyst at Pitman Training from March 2022 to May 2022, where I optimized report generation and dashboard functionality using Power BI and Tableau. I also led the organization-wide implementation of Tableau, resulting in substantial time savings and improved decision-making processes.

At Eversheds Sutherland from December 2021 to May 2022, I automated Excel processes, enhancing data collection methods and developing Power BI KPI dashboards, which improved case and time management, leading to significant operational savings and better client satisfaction.

In my earlier role as a Data Officer/Analyst at West Midlands Police from February 2020 to October 2020, I played a critical role in identifying vulnerable children through data analysis and improved crime tracking systems, leading to significant cost savings and enhanced protective measures.

I hold a Bachelor of Science in Politics & Economics from Aston University, obtained between September 2017 and May 2021. During my studies, I gained a comprehensive understanding of both political and economic systems and honed my analytical skills through various modules. In Business Analytics, I explored data-driven decision-making for companies, clients, and consumers. My coursework in Quantitative Methods included proficiency in STATA for statistical analysis. I also completed modules in Econometrics, where I conducted multiple regression analyses for budgeting and forecasting. In Microeconometrics, I used R to manipulate individual-level data and make informed decisions. Additionally, my studies in Macroeconometrics involved modeling economic and financial time-series for inference and forecasting. This diverse academic background has equipped me with the technical skills and analytical mindset necessary for a successful career in data analysis.