DISHER
DISHER
DISHER is an engineering and product development company founded in 2000, helping organizations turn complex technical challenges into practical solutions. Its work spans electronics, manufacturing technology, business consulting, and talent solutions, supported by cross-functional engineering and technical teams. DISHER serves industries including automotive, medical technology, AgTech, and IoT, combining product expertise with a human-centered approach to project delivery and technical talent development.

Senior Customer Operations Analytics Analyst

Build customer health scoring, churn forecasting, dashboards, and AI-supported analytics for a technology-enabled logistics services company. Turn customer and service data into insights that guide retention, account growth, and customer success.

Description

  • Create and maintain customer health scores using order frequency, dispute rates, response times, fill rate satisfaction, and related indicators.
  • Prepare weekly risk reports that explain account status and changes in health scores.
  • Build churn models to identify accounts at risk 30–60 days in advance.
  • Automate renewal dashboards with estimated win probabilities.
  • Analyze internal and customer data to support executive and board-level decisions.
  • Produce monthly reports and insight views that reveal account expansion opportunities.
  • Analyze market share and changes in customer wallet share.
  • Monitor service activity by account and identify opportunities to upgrade service-level agreements.
  • Prepare quarterly customer value reports for Account Managers and Customer Success Managers to use in customer business reviews.
  • Create executive presentations for monthly and quarterly business reviews.
  • Connect internal databases with CRM and business intelligence tools, including Power BI and Tableau.
  • Build and maintain dashboards that refresh automatically each week.
  • Set up alerts for Customer Success Managers and Account Managers when health scores pass defined thresholds.
  • Document data definitions and establish consistent reporting standards.
  • Partner with Operations and IT to address data quality problems at their source.
  • Lead the adoption of AI in analytics and work with IT to put analytical models into production.
  • Create AI prompts and query interfaces for self-service use by Account Managers and Customer Success Managers.
  • Review AI-generated insights and ensure customer-facing teams receive accurate, high-quality data.
  • Build expertise in new technology platforms and products.
  • Report to the Vice President of Customer Operations and work with customer-facing teams to measure impact and refine analytics.

Requirements

  • At least 8 years of experience as a BI Analyst, Data Analyst, or Analytics Specialist; Power BI experience is preferred.
  • Experience in logistics, supply chain, distribution, or e-commerce fulfillment; spare parts experience is strongly preferred.
  • Demonstrated ability to build dashboards that communicate insights and drive action.
  • Knowledge of service supply chain and spare parts logistics metrics.
  • Proficiency with Power BI or Tableau.
  • Experience connecting to ERP or WMS data sources.
  • Working knowledge of Python or a similar analysis tool, including pandas and basic statistics.
  • Familiarity with CRM data structures such as HubSpot, Salesforce, or Pipedrive.
  • Ability to translate business questions into data requirements.
  • Strong verbal and written communication skills.
  • Customer-facing experience and a customer-centric approach.
  • Must have current and continuing unrestricted authorization to work in the United States.

Benefits

  • Full-time employment.
  • Remote work arrangement.

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