Data Informatics Auto Analyst

Enlyte•Tredyffrin Township, PA

8d•Hybrid

About The Position

The Hybrid Data Informatics Auto Analyst supports assigned client accounts by turning operational, financial, and product-performance data into actionable insights. The role partners with Client Success Managers and Client Success Executives to improve client workflows, monitor service performance, identify growth opportunities, and produce accurate reporting for business reviews and scorecards. Purpose: Operational: Drive revenue growth and maximize adoption of key products within assigned accounts. Financial: Identify additional opportunities for revenue growth within the account and maintain existing revenue. Increase client satisfaction with Mitchell through measurable financial and operational results.

Requirements

Bachelor’s degree (business-related field preferred) with 2+ years’ relevant work experience required
Intermediate SQL, Tableau, Python, and/or PowerBI knowledge required
Intermediate Excel, Powerpoint knowledge required
Work effectively and professionally with peers, management, and cross-functional partners.
Think conceptually and operate with minimal direction while effectively using available resources.
Drive issues and initiatives through to complete resolution.
Good verbal, written and interpersonal communication skills.
Ability to understand and articulate client business strategy and connect that strategy to the use of key products.

Nice To Haves

Working knowledge of auto insurance industry and associated data highly preferred
Working knowledge of GenAI and Analytics AI toolsets (Copilot, Hex, AWS Quick) highly preferred
Executive presentation experience a plus

Responsibilities

Develop metrics that measure client workflow performance, identify indicators of future improvement opportunities, and track overall product or program outcomes.
Collaborate with the Client Success Manager and Client Success Executive to evaluate client workflows, diagram existing processes, and recommend process improvements.
Plan and implement process improvement initiatives for designated clients that drive efficiency and improve product and service results.
In partnership with Client Success Manager, monitor key product performance against service level agreements (SLA’s) and client expectations.
Compile and analyze client performance data for the Client Success Manager to review and deliver to the client.
Proactively collect data to identify and address root causes of problems or underperformance.
Based on client analytics and trends, identify areas for revenue growth, potential leakage, and adoption of new products that fit the client’s existing solution set.
Support Client Success Manager and Client Success Executive in providing statistical and anecdotal evidence of customer success enabled by assigned products.
Provide data, reports and analysis for client’s QBRs and Annual Partnership Reviews.
Create monthly, quarterly and annual scorecards for client’s consumption.
Prepare mid-month and monthly revenue estimates, including analysis of related variances.