Senior Strategy Analyst

Jm Test Systems•Baton Rouge, LA

16h

About The Position

JM Test Systems is seeking a Senior Strategy Analyst to serve as an analytics partner to its Sales and Marketing teams. The role turns commercial data into insights that support revenue growth and improve go-to-market decisions. The analyst owns sales performance reporting, pipeline analytics, and marketing ROI analysis, working with the Chief Revenue Officer and Sales and Marketing leadership. The position reports to the VP of Corporate Development & Strategy and builds on the company’s analytics and AI teams, using AI and predictive modeling to develop tools used by sales teams. The successful candidate will identify meaningful patterns in data, build with modern analytics and AI tools, and communicate complex findings in ways that help leaders act. The role offers direct access to senior leadership and the opportunity to shape commercial decision-making across the company.

Requirements

Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, Math, Sciences, or a related field.
At least 2 years of experience in analytics, commercial operations, or a related role, with a track record of insights leading to action and results.
Experience applying AI-driven analytics, machine learning, or predictive models in a business setting.
Strong proficiency with Claude or other LLM development tools, SQL, R, Excel, and PowerPoint.
Working knowledge of data warehousing, ETL, and data governance.
Experience with CRM platforms such as HubSpot or Salesforce.
Familiarity with sales engagement or marketing automation tools such as Apollo.io, Clay, or Klaviyo.
Experience partnering with Data Engineering on data views.
Excellent communication and project management skills, including explaining complex data to non-technical audiences and managing multiple initiatives.

Nice To Haves

Master's degree.

Responsibilities

Design and deliver recurring reports on revenue by service line, representative performance, quota attainment, pipeline health, and retention.
Analyze trends across accounts, segments, geographies, and service lines, including new logos, churn, wallet share, and cross-sell opportunities.
Analyze campaign performance, lead-source attribution, and digital-channel ROI, connecting top-of-funnel activity to pipeline and closed revenue.
Partner with software engineers and use AI to build self-service tools for Outside Sales, Inside Sales, and Marketing that reduce manual reporting.
Develop forecasting models and use predictive analytics to identify at-risk accounts, high-potential prospects, and seasonal revenue patterns.
Work with Data Engineering to maintain clean, consistent CRM and transaction data, flagging issues and driving them to resolution.
Align with Sales, Marketing, Sales Operations, and Finance on metrics and priorities, and translate findings into clear leadership recommendations.
Evaluate and implement emerging analytics and AI tools to strengthen commercial capabilities.