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Data Analyst Power

Location:
Langley, WA
Salary:
85000
Posted:
November 08, 2020

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Resume:

Jonathan Lee

626-***-****

adhnt4@r.postjobfree.com

linkedin.com/in/Jonathan-Lee-Analyst

Professional Profile

Phenomenal Data Analyst with

Eccentric Vibes and Consistent Metrics

Skills

• Data Analysis

• Data Visualization

• Statistical Analysis

• Customer Success

• Self-Starter

• Problem Solving

• Research and Development

• Gather and Analyze

• Clean Data Representation

Software

• Power BI

• Office 365 Products

• Azure Cloud Services

• Windows

• Salesforce

Career Achievements

Developed and Built 40 page Power BI report utilized by 30 managers for 350+ CSS agents and 5 global products

Trained, advised and managed 30 customer support agents in Global Power BI technical assistance

EDUCATION

Gonzaga University, Spokane, WA

Bachelor of Science, Mechanical Engineering – Minor Philosophy EXPERIENCE

Mindtree-Bellevue, WA 2018-Present

Data Analyst – 7 Months

• Created Several Reports with 20-40 Pages that represent and reflect the current status of 5 Product Families’ based on Customer Support Incidents

• Collected, organized, and analyzed customer support data to reveal case trends that impact businesses for 30 Managers across several Products

• Developed reports and analyzed data provided by clients with KPI’s, Metrics and Measures that are vital to maintaining Service Agreements. Power BI CSS Senior Technical Advisor– 6 Months

• Advised Power BI Technical Support Engineers on calls and on the floor to ensure their knowledge and skills, communication, tickets, and wellbeing are supported and nurtured.

• Actively trained engineers on contacting customers, setting up meetings, troubleshooting, and resolving issues.

• Aided 30 Engineers every day with integrity and respect to ensure that engineers had the tools, training, and information to be successful troubleshooting issues with customers.

• Trained 30 new hires expanding Power BI team and project workload. Power BI Customer Support Agent– 9 Months

• Resolved issues for 2-3 customers per day within the Power BI application that were created in an online ticketing system.

• Contacted 20-40 customers per day to engage troubleshooting sessions, Resolve Incidents or answer questions.

• Provided vital services for the client to maintain their business scope and product expectations.

Whole Foods-Bellevue, WA 2017-2019

Specialty Team Member– 18 Months

• Replenished product shelves after receiving items from vendors to ensure that customers had products to purchase and enjoy.

• Learned and conveyed Beer, Cheese, and Wine knowledge day to day providing customers with new and interesting facts to maintain the highest quality customer service possible.

• Assisted thousands of customers per day in a store that would Revenue 1 Million per week on average.



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