Business Analyst Resume

TECHNICAL SKILLS

PROFESSIONAL EXPERIENCE

Confidential

Business Analyst

Responsibilities:

Developed a market prioritization interactive model that utilized intelligence from historical data plus integration into third party data sources; Built a price sensitivity model allowing for wat if’s that reflected impact on demand at individual service area levels and at teh company levels.
Developed a forecasting model for orders and revenue using data that included seasonality, service area dynamics such as weather, growth characteristics of national, regional and local retailers, etc.
Built a supply side model that considered driver lifetime by segment and halped forecast number of drivers needed at a service area level as demand increases while also considering driver attrition and built dashboards to measure results against forecast together wif corporate and service area level KPIs.

Confidential

Data Visualization Analyst

Responsibilities:

Negotiated details wif financial department and worked on teh financial report of Collin County to generate annual report for teh office.
Cleaned, reorganized and analyzed data by using tools including Excel, Alteryx and Tableau.
Created 4 self - updated, interactive, user-friendly and transparent dashboards in data visualization tool Tableau and TEMPeffectively built communicate data insights and made a forecast on teh budget of next year.

Confidential

Marketing Analys

Responsibilities:

Analyzed sales data by utilizing Google map and excel to provide insights on increasing sales and profits by 5%.
Led teh creation and publication of KPI’s and dashboards that were timely, insightful, and automated by working cross-functionally wif multiple departments;
Developed strategy for marketing to new prospective clients in different areas by using R and product presentation about teh sales.

Confidential

Financial Analyst

Responsibilities:

Recommended suitable financial products for customers, provided financial advice and made inductive analysis regularly.
Analyzed teh frequency of mobile-banking users across different age groups and concluded that key factor were age and work, which contributed to teh bank proceeding wif teh extension of its mobile banking clients.
Dealt wif banking services as well as established long-term and stable relationship wif key customers according to customer requirements.