About Me
Results-driven data enthusiast with over six years of experience as an administrator and finance officer, contributing to the success of both educational and sales industries. Adept at creating comprehensive reports and …
Results-driven data enthusiast with over six years of experience as an administrator and finance officer, contributing to the success of both educational and sales industries. Adept at creating comprehensive reports and analyzing data using Microsoft Excel, with a proven track record of delivering accurate and insightful information. Having initially transited fully into the field of data analysis, equipped with proficiency in SQL, Tableau, PowerBI, and Microsoft Excel, then later through professional training becomes a data scientist. Passionate about harnessing the power of these tools to extract valuable insights, make prediction using machine learning algorithms to drive data-informed decision-making. Skilled in data cleansing, constructing dynamic dashboards for impactful data visualization, and extracting meaningful insights that guide strategic actions. Seeking a challenging role as a Data Analyst to apply my analytical skills and contribute to the success of an organization through informed decision-making and data-driven strategies.
Experience
Data Analyst
Tracking daily van sales across multiple regions and providing reports that help sales managers understand what’s working and where adjustments are needed., Monitoring stock levels against planned load-in/load-out figures to ensure accurate stock movement and reduce discrepancies., Analyzing routes and market beats to improve coverage, identify high-performing areas, and ensure sales hygiene and visibility standards are being met., Evaluating the performance of ASOs and TSOs, helping leadership identify training needs, reward strong performance, and align targets., Studying product trends, especially focused and new product lines, to measure adoption, identify opportunities, and support marketing efforts., Keeping track of distributor and trade partner performance, spotting patterns and helping maintain strong, data-informed relationships., Building out growth models and identifying sales opportunities based on past data and current trends., Creating and maintaining easy-to-read dashboards and reports that summarize key insights around sales, stock, product performance, and territory growth., Regularly using tools like Excel, Power BI, SQL, Tableau, and Python to do work, and collaborating with sales, supply chain, and marketing teams to ensure the business is running with accurate and up-to-date information.
Data Analyst
Interpreting data, analyzing results using statistical techniques, and presenting findings in clear and engaging ways., Developing and implementing data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality., Acquiring data from primary or secondary data sources and maintaining databases., Providing insights and recommendations based on data analysis to support decision-making and improve teaching and learning practices., Evaluating and monitoring the effectiveness of educational programs, interventions, and policies using data analysis., Keeping up to date with the latest trends and developments in data analysis.
Data Analyst Instructor
Provide expert training in Python, Tableau, Excel, SQL, and Power BI to develop technical and analytical proficiency., Teach statistical analysis techniques, including hypothesis testing, for data-driven decision-making., Guide students on interpreting data to derive actionable insights., Instruct on crafting clear and evidence-based conclusions from data analysis., Mentor learners on presenting impactful recommendations for real-world business problems., Emphasize practical applications of tools and methodologies to solve complex challenges effectively.
Data Analyst
Interpreting data, analyzing results using statistical techniques, and presenting findings in clear and engaging ways.
Developing and implementing data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.
Acquiring data from primary or secondary data sources and maintaining databases.
Providing insights and recommendations based on data analysis to support decision-making and improve teaching and learning practices.
Evaluating and monitoring the effectiveness of educational programs, interventions, and policies using data analysis.
Keeping up to date with the latest trends and developments in data analysis.
Data Analyst
Tracking daily van sales across multiple regions and providing reports that help sales managers understand what’s working and where adjustments are needed.
Monitoring stock levels against planned load-in/load-out figures to ensure accurate stock movement and reduce discrepancies.
Analyzing routes and market beats to improve coverage, identify high-performing areas, and ensure sales hygiene and visibility standards are being met.
Evaluating the performance of ASOs and TSOs, helping leadership identify training needs, reward strong performance, and align targets.
Studying product trends, especially focused and new product lines, to measure adoption, identify opportunities, and support marketing efforts.
Keeping track of distributor and trade partner performance, spotting patterns and helping maintain strong, data-informed relationships.
Building out growth models and identifying sales opportunities based on past data and current trends.
Creating and maintaining easy-to-read dashboards and reports that summarize key insights around sales, stock, product performance, and territory growth.
Regularly using Excel, Power BI, SQL, Tableau, and Python to do the work, and collaborating with sales, supply chain, and marketing teams to ensure the business is running with accurate and up-to-date information.
Data Analyst Instructor
Provide expert training in Python, Tableau, Excel, SQL, and Power BI to develop technical and analytical proficiency.
Teach statistical analysis techniques, including hypothesis testing, for data-driven decision-making.
Guide students on interpreting data to derive actionable insights.
Instruct on crafting clear and evidence-based conclusions from data analysis.
Mentor learners on presenting impactful recommendations for real-world business problems.
Emphasize practical applications of tools and methodologies to solve complex challenges effectively.