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Data/business Analyst Resume

Washington, DC


  • An analytical and detail - oriented Data Analyst professional with proven records of success in the collection, manipulation and visualization of large datasets.
  • Demonstrated expertise in decisive leadership and in delivering research based, data driven solutions that move organizations vision forward.
  • Highly competent at researching, visualizing and analyzing raw data to identify recommendations for meeting organizational challenges.
  • Proven excellence in project management and product development. Unparalleled capacity to link quantitative and qualitative statistics to improvements in operating standards.
  • Possess a high level of analytical ability with six plus years of experience working in Fortune 500 companies as well as some amazing startups
  • Proficiency in the concepts of business intelligence tools, data analysis, product management, marketing analytics, and strong communication skills to evangelize the importance of data to the leaderships
  • Experience with Data Analytics, Data Reporting, Ad-hoc Reporting, Pivot Tables and OLAP reporting.
  • Expert in data flow between primary DB and various reporting tools, Expert in finding trends and patterns within datasets and providing recommendations accordingly
  • Expertise in creating Dashboards, Scales, Pivot Tables and OLAP reporting
  • Proficient in requirement gathering, writing, analysis, estimation, use case review, scenario preparation, test planning and strategy decision making, test execution, test results analysis, team management and test result reporting
  • Expert in database development, gathering requirements and prioritizing tasks. Multi-tasker and leader who passionate to solve problems and achieve business goals
  • Play multiple roles to deliver results that exceed expectations. Exposure to multiple industries such as Information Technology, Finance, Education, Healthcare, Retail and Pharmaceutical
  • Have a great commitment to meet deadlines without compromising accuracy and quality of work. Smart worker, quick learner and time management is one of my best quality


Platforms: Windows, Linux, Ubuntu, MacOS

Programming Language: SQL, MySQL, Python, R programming, Java, C, C++, CSS, HTML, JavaScript, CSS

Data Analysis Tools: Microsoft Excel (Pivot Tables, VLOOKUP, Tables, macro etc.), Tableau, Access, Amazon Redshift, Salesforce, R - Studio, Microsoft Power BI

Cloud Computing: Microsoft Azure, AWS, Google Cloud

Functional Skills: Ad-Hoc Analysis, Statistical Data Analysis, Business Intelligence & Analytics, Requirements Analysis, SDLC, Project Management, Data Mining, ETL(Extract-Transform-Load)


Confidential, Washington, DC

Data/Business Analyst


  • Led a cross-functional agile team to develop a SaaS application, userbase increased by 100% per month
  • Implemented Google Analytics and PTEngine tools to understand user behaviors and plan future strategies
  • Designed and implemented multiple Power BI of Dashboards for a retail chain industry-based client
  • Managed inbound, outbound sales and marketing data using HubSpot, GA & Salesforce Analytics
  • Continuously improved systems and automated data handling by applying UiPath and Zapier tools
  • Extracting and manipulating large dataset using MySQL, MySQL Server, Excel, and GUI for SQL. Identify critical business KPIs and key business issues by in-depth analysis
  • Providing analytical and technical assistance to all levels of finance staff and other key stakeholders, proposing and designing changes and additions to existing workflow packages

Confidential, San Francisco, CA

Business Analyst


  • Analyzing data to create, validate, and build reports that are distributed across various levels of management.
  • Supporting business activities through research and finding root causes of trends
  • Developed a visual and interactive web application using Tableau to manage Data Center information
  • Working with operations team to increase efficiency through data analysis and visualization.
  • Extracting data from multiple data warehouse systems through ETL concepts
  • Analyzing complex, high-volume, high-dimensionality data from static and dynamic data sources
  • Assisted Business Assurance team in identifying and managing risks at data centers across globe
  • Led a team of 4 interns to demonstrate a project-based dashboard system to executives, won 3rd prize

Confidential, UT

MBA Strategy Consultant


  • Worked closely with the CEO of a local startup to identify the niche market segments for higher growth
  • Used Power BI to analyze primary and secondary research information to highlight data-driven insights
  • Identified customer’s pain points and collected competitive information of rival products in the market

Confidential, Lehi, UT

MBA Product Strategy Consultant


  • Analyzed customer data and feedbacks to understand the product usage insights and shortcomings
  • Consulted senior management about user personas for Confidential Cloud Experience business of $1.6 Billion
  • Developed research plan, customer insights, best practices, and strategies for a solid recommendation
  • Analyzed current market trends and performed A/B testing on new functions of Confidential Cloud applications


Software Engineering Analyst


  • Spearheaded a team of six associates to analyze, plan, prepare, execute, and report the quality analysis of Global Pricing System (GPS), a SaaS-based enterprise application, used by the Executives.
  • Led cross-functional QA team on GPS and Salesforce based projects, resulting in 37% reduction of issues
  • Developed excel tool to verify the values of complex calculations, reducing manual time and effort by 70%
  • Introduced automation and Agile methodologies, reducing chances of frequent mistakes while saving time
  • Created Analytical dataset by transforming data, involved in model development, Optimization and testing
  • Filtering, cleaning, and organizing large datasets to meet managerial and business needs
  • Working closely with management to prioritize tasks according to their information needs and analyzing data accordingly

Software Engineering Associate



  • Developed price elasticity model to optimize revenue of product to price change by A/B testing and scenario testing
  • Improved quality of software by detecting critical defects in the early phase of product development
  • Enabled DB to rapidly expand its online purchase order coverage from below 10% to more than 70%
  • Improved DB’s electronic invoices service level from less than 50% to 75%, saving $1.23M annually
  • Reduced 30% back-office operating cost by helping Postbank, subsidiary of DB, implement SAP Solution.

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