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Mid-Level Reporting Analyst

3 months ago

Philadelphia, United States InSource, Inc Full time

Mid-Level Reporting Analyst

***NO NEED TO APPLY if you currently do not live within 30-40 miles of drivable distance from Philadelphia, PA 19103 area. Because you MUST work onsite every Tuesday, Wednesday & Thursday, it’s non-negotiable.***


No C2C/NO Visa/NO 3rd party candidates, it’s a C2H (NOT C2C) W2 position.


Send resume to asim.ghosh@insourcenow.com


Position Overview:

Consult with cross-functional teams to identify data and analytical needs, gather the necessary data, conduct detailed analyses, review actionable insights/findings with leadership to assist in their decision making, and facilitate related process/data improvement efforts. This position is within the Operations Reporting & Analytics team and supports operational improvement initiatives.


Responsibilities:

  • Derive insights from data analysis, conduct root-cause analysis of operational issues identified by the data, and provide recommendations to remediate operational issues
  • Transform raw data and analysis into data visualizations and interactive dashboards using dashboard tools
  • Drive understanding of our members and their interaction with our call center, through in-depth analyses of user interaction, engagement, and transcribed calls
  • Answer complex business questions via SQL queries to enable business owners to make critical decisions.
  • Investigate to identify problematic trends that may impact member experience and operational metrics negatively


Skills/Qualifications:

  • Bachelor’s Degree (e.g., Statistics, Engineering, or Economics)
  • 2+ years of experience in Data Analytics
  • Manage, transform, and analyze data using SQL
  • Experience with data visualization tools, such as Power BI and Tableau
  • Comfortable with ambiguity with the ability to challenge traditional thinking to solve problems
  • Ability to translate business language into technical requirements
  • Ability to clean, wrangle, and transform large, complex data sources, using fit-for-purpose data analysis techniques to generate robust insights
  • Strong Microsoft Office skills: Excel, PowerPoint