Consultant, Sales Analytics
Listed on 2026-06-06
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IT/Tech
Business Systems/ Tech Analyst, Data Analyst, Data Science Manager -
Business
Business Systems/ Tech Analyst, Data Analyst
We're committed to bringing passion and customer focus to the business.
Position SummaryWe are seeking a talented and motivated individual to join our Commercial Analytics team as a Consultant. In this role, you will be an integral member of project teams, supporting the development of quantitative analyses and delivering high-quality, client-ready insights. You will collaborate closely with senior team members to address key business questions, contribute to analytical problem-solving, and develop presentations for client engagements.
This role offers the opportunity to work across multiple projects and gain exposure to a range of commercial analytics topics while building core consulting and analytical capabilities in a fast-paced, team-oriented environment.
- Support projects focused on sales team design, performance reporting, incentive compensation, and broader commercial analytics initiatives
- Develop quantitative models and analytical tools (e.g., sales force sizing, segmentation, targeting, and performance tracking) to support key business decisions
- Analyze data and generate actionable insights related to brand performance, promotion effectiveness, and field team strategy
- Create high-quality, client-ready presentations and clearly communicate methodologies, findings, and recommendations
- Support client engagements by enhancing and maintaining analytical tools and deliverables, and contributing to key project work streams
- Collaborate with cross-functional teams, including Strategy, Insights, and other Analytics groups, to deliver integrated solutions
- Contribute to the development of best practices, reusable modules, and scalable solutions to strengthen Trinity’s offerings
- Participate in client interactions, including supporting senior team members in meetings and presentations
- Maintain proactive communication with project teams to ensure alignment and timely delivery of milestones
Education: BS, MS, or MBA in a scientific, quantitative, business, or related field
Work Experience: 2–4 years of experience in sales analytics, sales operations, forecasting, marketing analytics, or a related area. Experience working with life sciences or healthcare data is preferred
Technical
Skills:
- Advanced proficiency in Excel (required)
- Experience with business intelligence tools (e.g., Tableau, Power BI, Qlik) preferred
- Familiarity with programming languages (e.g., SQL, Python, VBA) is a plus
- Exposure to AI-enabled productivity tools is a plus
Domain Experience (Preferred): Exposure to commercial analytics topics such as field force sizing and structure, segmentation, targeting, incentive compensation design, or forecasting
Other
Skills:
- Strong written and verbal communication skills, with the ability to translate complex analyses into clear insights
- Demonstrated problem-solving and analytical skills with strong attention to detail
- Ability to work both independently and collaboratively in team-based environments
- Proven ability to manage multiple work streams in a fast-paced, deadline-driven setting
- Strong stakeholder communication and organizational skills
- Proficiency in Microsoft Office Suite, particularly Excel and Power Point
- Interest in the life sciences industry and commercialization strategy
- Exposure to leading pharmaceutical, biotech, and medtech clients
- Hands-on experience with core commercial analytics methodologies (e.g., segmentation, field force planning, incentive design)
- Opportunities to develop structured problem-solving and data-driven decision-making skills
- A collaborative, team-oriented environment with mentorship from experienced consultants and leaders
- Career growth opportunities within a rapidly evolving analytics and consulting landscape
Trinity Life Sciences is an equal opportunities employer and welcomes applications from all qualified individuals. Trinity will not tolerate any form of discrimination or harassment and encourages applicants of all ages and identities.
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