DATA ANALYST/VIRTUAL ASSISTANT

Skilled in writing SQL queries to retrieve, manipulate, and analyze data from relational databases. Able to optimize queries for performance and accuracy in reporting.

Proficient in analyzing large datasets to extract actionable insights and trends. Skilled in identifying patterns, anomalies, and business opportunities. Focused on maximizing growth potential, identifying gaps in performance, and providing data-driven recommendations for improvement. Adept at leveraging data to optimize business strategies and uncover untapped opportunities.

Experienced in creating interactive and easy-to-understand dashboards and reports using tools like Power BI ,Google Data Studio, Metabase, Looker. Skilled at turning complex data into visual insights to guide business strategies.

Skilled in developing interactive and visually engaging reports and dashboards using Google Data Studio. Experienced in connecting diverse data sources such as Google Analytics, Excel, and CSV files, and transforming raw data into clear, actionable insights. Focused on identifying business growth opportunities, pinpointing performance gaps, and delivering reports that enhance data-driven decision-making. Capable of customizing visuals to align with business objectives and stakeholder needs.

Expertise in advanced Excel techniques, including pivot tables, data validation, VLOOKUP, and conditional formatting. Comfortable with handling large datasets and automating tasks using Excel formulas.

Proficient in creating dynamic, interactive dashboards and reports using Power BI. Skilled in connecting multiple data sources, performing data transformations, and utilizing DAX (Data Analysis Expressions) for advanced calculations and KPI tracking. Experienced in identifying performance gaps, maximizing growth potential, and providing data-driven insights through customized visualizations. Capable of creating detailed reports that offer clarity on business operations and support strategic decision-making.

Capable of using APIs and web scraping techniques to collect and integrate data from various online sources, providing more comprehensive datasets for analysis.

Proficient in using Python for data analysis, including data manipulation, cleaning, and visualization with libraries like Pandas, NumPy, and Matplotlib. Experienced in automating repetitive tasks, performing statistical analysis, and handling large datasets efficiently. Skilled in building scripts to identify performance gaps, maximize growth opportunities, and provide insights for data-driven decision-making. Capable of integrating Python into various workflows to enhance business intelligence and streamline analytical processes.

Skilled in conducting business analysis to identify growth opportunities and enhance operational efficiency. Proficient in gathering requirements, performing market research, and evaluating processes to inform strategic decision-making. Experienced in using Power BI and Excel for data visualization and presenting actionable insights to stakeholders.

Strong analytical mindset, focused on solving complex business problems through data insights. Able to think critically and propose data-driven strategies for improvement.