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Analyst​/Associate Analyst, Field Insights

Remote / Online - Candidates ideally in
Waltham, Middlesex County, Massachusetts, 02254, USA
Listing for: TalentAlly
Remote/Work from Home position
Listed on 2026-06-12
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

The Sales Analysis & Reporting team provides the commercial organization with accurate reporting, clear insights, and tools that help both home office and field teams make informed decisions. In this role, you will support and evolve our Customer Suggestions platform, translating data into actionable, field‑facing insights that integrate into the day‑to‑day workflows of the sales team. You will work closely with our Field Operations Team and cross‑functional partners, including Data Analytics and Insights, Customer Engagement Marketing, Field and Brand, to incorporate relevant inputs while helping shape how insights are structured, prioritized, and delivered.

This position is ideal for someone who enjoys solving problems, working across teams, and improving how data is used to drive action in the field.

Primary Responsibilities
  • Customer Suggestions Development & Execution
    • Support evolution of the Customer Suggestions platform, including development of new suggestion types and refinement of existing logic.
    • Translate business needs into clear, actionable insights for the field.
    • Help ensure suggestions are simple, prioritized, and aligned to field workflows.
    • Maintain documentation and structure for suggestion logic and outputs.
  • Prioritization & Signal Management
    • Support prioritization and ranking of Customer Suggestions to surface the most relevant insights.
    • Help balance volume, variety, and usefulness of suggestions across territories.
    • Identify low-value or redundant signals and recommend improvements.
  • Cross‑Functional Collaboration
    • Partner with teams such as DAI, Omnichannel, Marketing, and Market Access to incorporate relevant data inputs.
    • Translate cross‑functional ideas into practical, field‑facing suggestions.
    • Ensure alignment while maintaining focus on field‑facing execution.
  • Intake & Translation
    • Support intake of new suggestion ideas and requests.
    • Translate business needs into structured, scalable logic.
    • Contribute to evaluating feasibility and prioritizing enhancements.
  • Performance Monitoring & Continuous Improvement
    • Monitor field engagement and feedback to assess usefulness and adoption of suggestions.
    • Gather and synthesize input from field teams (e.g., trainers, office hours, direct feedback).
    • Support iteration of suggestion logic based on performance and business needs.
  • Testing & Validation
    • Support testing and validation of new suggestion types and enhancements.
    • Analyze results and contribute to refining logic.
  • Analytics & Supporting Work (Customer Suggestions Focused)
    • Conduct targeted analyses to support development and refinement of Customer Suggestions.
    • Evaluate potential new inputs, signals, and use cases.
  • Reporting & Data Support
    • Support Tableau‑based views that provide visibility into Customer Suggestions.
    • Perform QC checks and troubleshoot data issues impacting suggestions.
Tools & Technical Skills
  • Proficiency in SQL, Tableau, and Excel.
  • Ability to translate business needs into analytical logic and outputs.
  • Comfortable working with large datasets and resolving data inconsistencies.
  • Strong communication skills—able to clearly explain logic and findings.
KEY ATTRIBUTES FOR SUCCESS
  • Strong ownership mindset with the ability to take initiative within a defined scope.
  • Curious and eager to learn and improve existing processes.
  • Comfortable working across teams and translating different perspectives into practical solutions.
  • High attention to detail with a commitment to data quality.
  • Ability to work in ambiguity with guidance and direction.
  • Focus on delivering simple, actionable outputs.
Experience & Education
  • Bachelor’s degree preferred in Business, Analytics, Data Science, Information Systems, Statistics, Marketing, or a related field.
  • Relevant internship, co‑op, academic project, or professional experience in analytics, reporting, business operations, sales operations, customer insights, or related areas preferred.
  • Experience working with data, reporting, or analytical tools such as SQL, Tableau, Excel, or similar platforms.
  • Demonstrated ability to problem solve, learn new systems, and translate business needs into practical outputs.
  • Strong communication and collaboration skills with the ability to work across teams and…
Position Requirements
10+ Years work experience
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