E - Commerce and Operations Analyst Resume San Francisco, CA - Hire IT People

TECHNICAL SKILLS:

Core Competencies: Data Analysis, Data Visualization, Data Manipulation, Finance/Business Analytics, ETL, MS Office Suite

Programming Languages: Structured Query Language (SQL), R, Python, RShiny

Analytics and Business Intelligence: Tableau, PowerBI, DAX, RStudio, SPSS, SAS, Alteryx, MS Excel, Looker, Mode Analytics

Statistical techniques: Regression, Classification, Random Forest, Hypothesis Testing, A/B Testing, Support Vector Machines (SVM)

PROFESSIONAL EXPERIENCE:

Confidential, San Francisco, CA

E - Commerce and Operations Analyst

Responsibilities:

Measure and analyze KPIs, business metrics and data insights across Bright Mind Programs in progress using Google Analytics
Extract info by writing extensive SQL queries on data wif up to 20,000 rows to perform calculations for data points
Create, implement, and automate eCommerce dashboards for data generated across teh multiple vendor services in use
Identify trends and anomalies to prepare presentations to make recommendations to teh team and report to stakeholders

Confidential, Boston, MA

Programming Assistant

Responsibilities:

Conducted seminars on Tableau and Microsoft PowerBI for 25 undergraduate students on a weekly basis
Visualized teh usage data on Tableau dashboard to analyze teh patterns, aiding in teh shift scheduling of 8 PAs at teh lab
Maintained teh database of 600 students using teh Engineering Computer Center in College of Engineering daily on Excel
Summarized teh usage statistics of systems on Excel using pivot table to submit to teh student financial services for budgeting

Confidential

Operations Engineer Intern

Responsibilities:

Improvised teh processing speed of teh daily supply chain operations by 22%, increasing teh order capacity by 25 orders per day
Increased sales by an average of Rs. 500,000 ($7000) per month through quantitative and qualitative analysis of teh sales data
Provided ad-hoc analysis & developed dashboards based on sales data to drive & implement strategies and revenue forecasting

Confidential

Business Intelligence Analyst

Responsibilities:

Extracted teh performance data of 1200 cricket players from various cricket relational databases using complex SQL queries
Garnered an increase in number of website hits by 15000 hits per day through introduction of Sports Fantasy league for cricket
Analyzed multi-dimensional data sets to forecast teh performance of different players based on their recent game statistics
Collaborated wif teh content writing team to create and publish reporting solutions and dashboards on Power BI