DISHER
DISHER
DISHER – 2000 m. įkurta inžinerijos ir produktų kūrimo įmonė, padedanti organizacijoms sudėtingus techninius iššūkius paversti praktiniais sprendimais. Įmonės veikla apima elektroniką, gamybos technologijas, verslo konsultavimą ir talentų sprendimus, o ją palaiko įvairių sričių inžinerijos bei techninės komandos. DISHER aptarnauja automobilių pramonės, medicinos technologijų, žemės ūkio technologijų ir daiktų interneto sektorius, derindama produktų kūrimo kompetenciją su į žmogų orientuotu projektų įgyvendinimu ir techninių talentų ugdymu.

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.

Aprašymas

  • 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.

Reikalavimai

  • 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.

Privalumai

  • Full-time employment.
  • Remote work arrangement.

Susiję darbai

Clio - Cloud-Based Legal Technology

Software Development Manager, Application Security

Clio - Cloud-Based Legal Technology
1 001 – 5 000 Darbuotojai
SaaSSaugumasTeisė

Lead Clio’s security engineering team as it builds an AI-driven Security Operations Center for legal technology. The role spans detection engineering, product hardening, automated response, and team leadership.

Atidaryti
Alto