Data Analyst Sales

Rajvi Patel

Loc: Philadelphia, PA ***** (open to relocation) Ph: 267-***-**** E: adki6n@r.postjobfree.com US Citizen

SUMMARY: A process-oriented data analyst with 1 year of experience in analyzing business intelligence and detailed reports to increase sales revenue in the MedTech industry. Furnish insights, analytics, and business intelligence needed to guide business decisions.

QUALIFICATIONS

Experienced in Microsoft Excel, SQL, R, and Project Management.

Strong understanding of Python, Microsoft Access, Data Visualization, and Agile Methodology.

Ability to analyze and synthesize data for tracking and decision making.

Experienced in creating outcome measurements for multiple program areas.

SKILLS

Programming: Python (Pandas), R, SQL, Excel VBA Macros.

Data Visualization: Tableau, PowerBI, Excel Charts, PyCharm.

Database: Oracle PeopleSoft, MySQL, Snowflake.

Soft Skills: Excellent verbal and written communication skills.

CERTIFICATIONS

Google IT Support Certificate

EDUCATION

Temple University

Bachelor of Science (B.S.) in Biology, December 2020

Vice President of Temple Ethos, a non-profit/student organization that held workshops and lectures designed to empower students by teaching them financial literacy.

EXPERIENCE

ImplantXP

Data Analyst, May 2020 – Present

I work alongside the CTO and am responsible for creating protocols, visual reports, and data output files for all clients. I work closely with our clientele and assist them in understanding their data as well as using it effectively. I am also responsible for maintaining and managing the organization’s statistical information as well as identifying specific data needed for reports and budgeting requirements. I worked closely with management to create program outcomes to effectively streamline our data processes.

Brought in over $70,000 in additional revenue from May 2020 – December 2020.

Created visually impactful dashboards in Excel and Tableau for data reporting by using pivot tables and VLOOKUP.

Designed and built statistical analysis models on large data sets (e.g., MySQL) that helped increase online sales (up to 16% per product) and lowered cart-abandonment rate by 9%.

Helped business to decide on dynamic pricing by identifying business insights and forecasting the trends for future months using time series analyses in Excel.

Improved demand forecasting that reduced backorders to manufacturers by 14%.

Produced reports and presentations using Tableau, PowerBI, and Microsoft PowerPoint.

Tracked weekly sales data to chart whether territories hit goals.

Worked closely with the engineering and business teams using scrum/agile methodology.

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