Associate, Analytics & Business Insights

Tempus AI•Chicago, IL

1d•$70,000 - $83,000

About The Position

Tempus is seeking an Associate, Analytics & Business Insights to join their growing Sales Operations team. This role goes beyond standard reporting to serve as a strategic partner to the Diagnostics Commercial leadership team. The ideal candidate is a proactive problem solver who thrives in ambiguity, capable of mining complex datasets to identify underlying growth drivers and emerging business risks. This position requires a deep curiosity for the "business behind the data" and the ability to translate sophisticated analytics into clear, actionable recommendations that inform commercial strategy.

Requirements

Bachelor's degree in a quantitative discipline (e.g., Finance, Statistics, Engineering, Mathematics, Data Science, or Economics).
3+ years of experience in data-driven business analytics, with a core focus on analyzing complex datasets to generate business-critical insights and strategic recommendations.
Advanced-level proficiency in Excel/Google Sheets and a proven track record of using modern BI/data visualization tools to extract insights from complex datasets.
Demonstrated ability to independently investigate data to identify growth drivers and performance gaps without a predefined roadmap.
Proven experience translating complex, raw data into clear, succinct, and "executive-ready" presentations that highlight the "so what."
Ability to develop strong partnerships across departments (Sales, Marketing, Finance, etc.) and influence decision-making without direct authority.
High attention to detail with a commitment to data accuracy, paired with the organizational skills to balance multiple high-priority projects in a fast-paced environment.
Thrives in ambiguity and is capable of proactively seeking out information and resources to deliver results.

Nice To Haves

Commercial experience in oncology, with clinician-facing products, and/or within a life sciences organization
Experience working with large-scale life sciences datasets
Familiarity with statistical techniques (e.g., trend analysis, regression, or cluster analysis) to validate business hypotheses.

Responsibilities

Serve as the primary "analytical detective" for the oncology and neuropsychiatry commercial organizations, proactively analyzing complex datasets to uncover hidden growth drivers, market trends, and potential business risks.
Synthesize raw data into clear, compelling stories and actionable recommendations that allow commercial leadership to make informed, high-stakes decisions.
Pair rigorous data analysis with "boots on the ground" insights from field teams to uncover the root cause of business challenges, bridging the gap between data and field experience to propose viable, real-world solutions.
Act as a self-starter in identifying business needs and performance trends, taking the lead on navigating ambiguity and moving from a raw business question to a polished summary.
Build deep relationships with sales and other commercial teams to understand their tactical needs, serving as their go-to expert for data-driven insights and strategic thought partnership.
Establish and track sophisticated KPIs that reflect the health of commercial performance, ensuring reporting serves as a forward-looking strategy tool.
Harness the power of modern data visualization platforms and emerging AI tools to synthesize complex data into real-time, automated insights, ensuring commercial organization has instantaneous access to key metrics.
Partner with the broader Sales Operations team and key stakeholders across Sales, Marketing, Business Development, and Finance to incorporate a holistic perspective into assessments, aligning on key data streams and business assumptions.