Business Intelligence and Data Analyst Resume

SUMMARY

Data and Business Analyst with 10+ years of experience in interpreting data, analyzing data, modeling and mining data, and marketing - sales analytics for developing businesses and driving business solutions. Special talent for acquiring data from various sources and develop data systems dat support analysis and reporting.
Skilled in statistics, analytics, and technical reports, with the strong background in IT, Financial and Payment services, e-commerce retail and FMCG industries.
Thorough understanding of finance, marketing, production and personnel management
Talented with the data management policies, procedures, and widespread technical tools
Strong logical, assessment and interpretation skills
Excellent planning and administrative abilities
Descriptive analytics, Diagnostic analytics, Predictive analytics, Prescriptive analytics
Ability to implement control the executed tasks with the planned activities
Strong Analytical, Quantitative skills and result analyzing
Project Management, Time Management, Risk Management, Task Prioritizing Management
Excellent in organization, interpersonal, initiating, communication, planning and technical skills

TECHNICAL SKILLS

Statistics Technique/Data Mining and Segmentation, Regression, Forecasting: SPSS

Big Data Visualization (Business Intelligence Platforms): QlikView, Excel

Database Management Systems: SQL, MS Access

Software: Proficiency in Excel, MS Project, MS Access, MS Office Suite, MS Visio, MS PowerPoint, Prezi eCommerce Analysis: Google Analytics, eCommerce Analytics, OLAP

Business Analysis Methods: SWOT, PEST, BSC (Balanced Score Card)

PROFESSIONAL EXPERIENCE

Business Intelligence and Data Analyst

Confidential

Responsibilities:

Analyzed monthly on big data as transaction rate data on 1.5M payment devices for modeling and developing solutions with data visualization, using Excel, QlikView, SQL.
Collected data from 1.5M payment devices holders (client) and over 200M card holders (consumer, debit/credit) for developing solutions with data analysis and make decisions to increased transaction rates by 28% and attract new client by 500K per year, using Excel, SPSS, Access.
Designed and developed loyalty program and customer club for over 1.8M clients by research at payment and retail market with data modeling and data analyzing, using Excel, SPSS.
Identified business models for launching e-commerce project by B2B and B2C, with data gathering and data analyzing from international e-commerce market, using Google Analytics, OLAP, e-commerce analytics.
Developed marketing plans to increase visit rate to 70% per day, and attract buyers by 25% per month with to measure e-business and KPI metrics, competitor’s performance investigation and e-commerce data analysis, using Alexa, tag management, Excel, KPI Dashboards & Scorecard, Analysis platforms, QlikView.
Analyzed business on two projects as e-commerce and payment, for evaluating the businesses situated in the market to capture 70% of the payment and 25% of e-commerce domestic markets, using SWOT, BSC, PEST, Excel.

Business Data Analyst

Confidential

Responsibilities:

Managed on 2 e-payment projects with a budget of over $10M USD, including milestones, objectives, technical and commercial requirements, budget, staffing, infrastructure.
Developed business plans for increasing transaction rates by 85% annually on sales terminals to achieve revenue by 37.6%, using SWOT, Excel.
Established and managed on new department called "provincial affairs" to monitor the performance of e-payment projects, market trends investigation, collect and analyze market data, in over 30 branches, by 18 experts at head office, using MS Project, Visio, Excel, SQL
Analyzed monthly on huge data as transaction rate data by over 101K USD / 76M No. on 85K POS which is installed entirely the country for developing solutions with data visualization, using Excel, SQL.
Managed on the CRM department with 12 experts, to collect data from clients and card holders, using Excel, Access.

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