Data Translator - Commercial Excellence

Flowserve CorporationIrving, TX
25d

About The Position

Role Summary: Reporting to the Director of Commercial Excellence - FPD, the Data Translator enables Flowserve’s Commercial Excellence strategy by ensuring analytics and commercial dashboards are accurate, actionable, and trusted by the sales team. Acting as the bridge between Commercial Excellence, analytics/IT teams, and Sales, this role translates business needs into clear analytic requirements, validates insights with the field, and ensures data-driven insights are consistently activated by Sales to drive profitable growth. This role is central to ensuring insight quality, accelerating adoption, and translating data into measurable commercial impact. Translate business priorities into analytics use cases that drive profitable growth. Enhance the usability, credibility, and adoption of Commercial Excellence analytics by Sales Engineers and MOSs. Accelerate the transition from insight identification to field action. Improve data completeness and accuracy for Commercial dashboards and analytic models.

Requirements

  • Bachelor’s degree in Business, Analytics, Engineering, Information Systems, or related field
  • 3–5 years in analytics, commercial operations, business analysis, or sales enablement roles within industrial environments
  • Understanding of SQL/Python for data validation
  • Proven ability to simplify complex analytics
  • Experience facilitating meetings, project management, tracking metrics, and removing obstacles.
  • Strong understanding of commercial processes and the customer journey.
  • Ability to synthesize commercial scenarios and associated data, translating them into actionable insights.
  • Excellent communication skills; comfortable engaging sales teams and cross-functional partners.
  • Proactive approach and commitment to innovation and continuous improvement.

Nice To Haves

  • Experience with BI Dashboards, CRM/CPQ systems (Salesforce preferred), Jira/Azure DevOps is a preferred
  • Experience supporting industrial sales teams preferred

Responsibilities

  • Insight Translation & Analytics Enablement Translate Commercial Excellence and business priorities into analytics and dashboard requirements.
  • Define and document analytics requirements, assumptions, and success criteria to ensure analytics development aligns with business objectives.
  • Partner with analytics teams on opportunity identification, KPI definitions, and validation logic.
  • Develop and lead a structured meeting cadence with working team comprised of IT, Analytics, and SMEs from the business.
  • Develop regular progress updates that synthesize key insights, roadblocks, and next steps for business leadership Field Validation & Activation Validate analytics outputs with Sales Engineers and MOSs.
  • Identify data inaccuracies and gaps, and misaligned assumptions.
  • Drive continuous refinement of analytic models based on field feedback.
  • Collaborate with sales leadership to validate, prioritize, and progress leads.
  • Review analytic outputs to confirm accuracy, relevance, and usability.
  • Data Quality & Governance Establish and monitor data quality standards for Commercial Excellence dashboards and analytics.
  • Work with analytics and BI teams to address data gaps.
  • Adoption & Enablement Translate complex analytics into simple, field-ready narratives, and insights.
  • Support Commercial Excellence training teams to reinforce desired selling behaviors and analytic activation.

Benefits

  • Starting on Day 1: Medical, Dental & Vision Insurance (including FSA and HSA options)
  • Life Insurance + Supplemental Life, Child, Spousal, and AD&D Insurance
  • Short- and Long-Term Disability
  • Retirement Planning, 401(k) plan, & Financial Wellness Resources
  • Educational Assistance Program
  • Time off Policies (including sick leave, parental leave, and paid vacation)
  • Eligibility requirements apply to some benefits and may depend on job classification and length of employment

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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