
51 - 200 employees
Founded 2000
🚘 Automotive
💼 Consulting
Automotive • Consulting • Engineering
DISHER is a solutions-focused company with over 20 years of experience in making a positive difference through engineering and product development. They offer a range of services including electronics, manufacturing technology, business consulting, and talent solutions with a human-centered and innovative approach. DISHER specializes in solving complex problems with cross-functional teamwork, providing top engineering and technical talent to advance projects. They serve various industries such as Medical, AgTech, and IoT, and are committed to community investment and creating a thriving workplace culture.
🔥 18 hours ago
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51 - 200 employees
Founded 2000
🚘 Automotive
💼 Consulting
Automotive • Consulting • Engineering
DISHER is a solutions-focused company with over 20 years of experience in making a positive difference through engineering and product development. They offer a range of services including electronics, manufacturing technology, business consulting, and talent solutions with a human-centered and innovative approach. DISHER specializes in solving complex problems with cross-functional teamwork, providing top engineering and technical talent to advance projects. They serve various industries such as Medical, AgTech, and IoT, and are committed to community investment and creating a thriving workplace culture.
• Build and maintain a customer health score combining order frequency, dispute rate, response time, fill rate satisfaction, and other key indicators • Produce weekly at-risk account reports with specific drivers of score changes • Develop a churn propensity model that flags accounts 30–60 days before potential churn • Automate renewal dashboards with win probability estimates • Support internal and customer data analysis requests for executive and board-level decision making • Generate monthly insight views and reports to identify expansion opportunities • Perform market share analysis to identify wallet share movement • Track service behavior and activities by account and surface SLA upgrade opportunities • Produce quarterly customer value reports for Account Managers and CSMs to use in customer QBRs • Build executive-level decks for monthly and quarterly business reviews • Maintain connections between the internal database, CRM, and BI tools (Power BI / Tableau) • Build and maintain dashboards that automatically refresh weekly • Implement automated alerts to CSMs and AMs when health scores cross thresholds • Document data definitions and standardize reporting • Work with operations and IT to resolve data quality issues at source • Lead AI adoption for analytics and collaborate with IT to productionize analytic models • Implement AI prompts and query interfaces for AM/CSM self-service • Validate AI-generated insights and ensure accurate, quality data for customer-facing teams • Develop subject matter expertise in new technology platforms and products • Report to the Vice President, Customer Operations and work directly with customer-facing teams to validate measurable impact
• 8+ years as a BI Analyst, Data Analyst, or Analytics Specialist (Power BI preferred) • Experience in logistics, supply chain, distribution, or e-commerce fulfillment (spare parts experience strongly preferred) • Proven track record of building dashboards that tell stories and drive action, not just visualizations • Knowledge of service supply chain and spare parts logistics metrics • Proficiency in Power BI or Tableau • Experience connecting to ERP/WMS data sources • Working knowledge of Python or similar for analysis (pandas, basic stats) • Familiarity with CRM data structures (HubSpot, Salesforce, Pipedrive) • Ability to translate business questions into data requirements • Strong verbal and written communication • Customer-facing and customer-centric mindset • Must have the current and continuing right to work in the United States of America without restrictions or expirations
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🇺🇸 United States – Remote
💵 $69.4k - $99.2k / year
💰 Grant on 2023-06
⏰ Full Time
🟠 Senior
📉 Data Analyst
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