About Me
Detail focused, dedicated and hardworking data analyst with seven years of experience working as a data analyst. Highly analytical, process oriented and eager to support businesses in developing business solutions. Creat…
Detail focused, dedicated and hardworking data analyst with seven years of experience working as a data analyst. Highly analytical, process oriented and eager to support businesses in developing business solutions. Creating results-oriented, clear, and concise reports and visuals from data and records to help companies make informed decisions. Also helping businesses gain valuable insights from operational data so they can make pivotal business decisions that boost revenue and maximize profit while lowering costs.
Experience
Data Analyst
Transform raw data into meaningful insights, visualizations, and reports which enables businesses to monitor key performance indicators (KPIs), track trends, and gain a comprehensive understanding of their operations, enabling informed and strategic decision-making.
Analyzing and presenting data using SQL, Python and Tableau.
Responding to data-related queries and keeping track of these.
Applying knowledge of data modeling and statistical analysis to note trends and draw conclusions.
Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks.
Create reports and data visualizations to communicate findings to teams, senior management and other stakeholders.
Produce detailed data driven insights and reports using Power BI to inform strategic business decisions.
Worked collaboratively with leadership and business partners to identify data for analysis.
Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources.
Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers.
By employing data-driven techniques and tools, examine and validate financial and operational information.
Data Analyst
• Transform raw data into meaningful insights, visualizations, and reports which enables businesses to monitor key performance indicators (KPIs), track trends, and gain a comprehensive understanding of their operations, enabling informed and strategic decision-making.
• Analyzing and presenting data using SQL, Python and Tableau.
• responding to data-related queries and keeping track of these.
• Applying knowledge of data modeling and statistical analysis to note trends and draw conclusions.
• Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks
• Create reports and data visualizations to communicate findings to teams, senior management and other stakeholders.
• Produce detailed data driven insights and reports using power BI to inform strategic business decisions.
• Worked collaboratively with leadership and business partners to identify data for analysis.
• Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources
• Work closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
• By employing data-driven techniques and tools, examine and validate financial and operational information.
Data Analyst
Analyzing historical results, past and current financial data, making forecasts and projections.
Built data visualizations using Power BI for KPI’s that reduced manual reporting.
Data wrangling, modeling, and analysis to identify trends.
Work directly with managers and users to gather requirements, provide status updates, and build relationships.
Analyze data to determine the extent to which new products generate additional revenue beyond normal benchmark.
Identify trends and patterns in customer behavior related to these offerings.
Conducted statistical analysis including regression modeling and descriptive statistics.
Collaborate with teammates, other teams and departments to provide data-driven feedback on the performance and potential enhancements of organizations products.
Evaluate how each product impacts the increase in revenue and overall profitability.
Provide actionable insights based on data analysis.
Assess the contribution of new products to revenue growth and profitability.
Communicating with stakeholders to understand data content and business requirements.
Data Analyst
Developed interactive data visualizations that improved stakeholders understanding by 20%.
Analyzed large data sets, designed dashboards, and derived meaningful conclusions.
Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity.
Participated in requirement meetings and data mapping sessions to understand business needs.
Used Power BI and Tableau and gained advanced knowledge.
Support management in making informed decisions.
Identify strategies to increase customer loyalty and engagement with products.
Measure customer retention and repeat behavior for new products.
Monitoring data quality and removing corrupt data.
Identify trends and patterns in customer behavior related to our products.