{"id":2416814,"url":"https://alion.io/job/disher-sales-operations-analyst","title":"Sales Operations Analyst","company":{"id":21013,"name":"Disher","domain":"disher.com","url":"https://alion.io/company/disher","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":84,"open_postings":20,"ghost_share":0,"stale_share":0.45,"repost_share":0,"time_to_fill_p50_days":88,"computed_at":"2026-10-13T05:45:00Z"}},"role":"Sales","role_family":"Sales","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":100000,"max_usd":201000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1697},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"HubSpot","optional":false},{"name":"Pipedrive","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Salesforce","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-13T01:05:14Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T06:38:18Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Sales Operations Analyst\nDISHER is currently partnering with an organization that is evolving from a logistics services company into a technology-enabled services company. Technology, data, and AI increasingly are determining not only how efficiently they operate, but what services they can offer, how differentiated those services are, and the value they can create for their customers.\nIn this role, you will build and own customer analytics that directly drive Net Revenue Retention and customer success outcomes. You will translate complex customer data into actionable insights and automated intelligence that enable Account Managers, Customer Success Managers, and executives to make faster, more informed decisions about retention, expansion, and customer value.\nYou will report to the Vice President, Customer Operations and work directly with customer-facing teams to understand what decisions they need to make, validate whether your analytics are creating measurable impact, and iterate toward insights they trust and act on.\nWhat you will get to do:\nCustomer Health & Retention Analytics\nBuild and maintain a customer health score combining order frequency, dispute rate, response time, fill rate satisfaction, and other key indicators\nProduce weekly \"at-risk account\" reports (red/yellow/green) with specific drivers of score changes\nDevelop a churn propensity model that flags accounts 30-60 days before potential churn\nAutomate renewal dashboards with win probability estimates\nSupport internal and customer data analysis requests for executive and board-level decision making\nExpansion Signal Analytics\nGenerate monthly insight views and reports to identify expansion opportunities\nPerform market share analysis to identify wallet share movement\nTrack service behavior and activities by account and surface SLA upgrade opportunities\nProduce quarterly customer value reports for Account Managers and CSMs to use in customer QBRs\nBuild executive-level decks for monthly and quarterly business reviews\nData Infrastructure & Automation\nMaintain connections between their internal database, CRM, and BI tools (Power BI / Tableau)\nBuild and maintain dashboards that automatically refresh weekly\nImplement automated alerts to CSM and AM when health scores cross thresholds\nDocument data definitions and standardize reporting\nWork with operations and IT to resolve data quality issues at source\nAI & Advanced Analytics\nLead AI adoption for analytics and collaborate with IT to productionize analytic models\nImplement AI prompts and query interfaces for AM/CSM self-service\nValidate AI-generated insights and ensure accurate, quality data for customer-facing teams\nDevelop subject matter expertise in new technology platforms and products\nWhat success looks like:\nA 30% reduction in \"red\" health score accounts week-over-week \nA 50% reduction in CSM time spent on manual data extraction from baseline\n100% on-time delivery of automated reports\nWhat will make you successful:\n8+ years as a BI Analyst, Data Analyst, or Analytics Specialist (Power BI preferred)\nExperience in logistics, supply chain, distribution, or e-commerce fulfillment (spare parts experience strongly preferred)\nProven track record of building dashboards that tell stories and drive action, not just visualizations\nKnowledge of service supply chain and spare parts logistics metrics\nProficiency in Power BI or Tableau\nExperience connecting to ERP/WMS data sources\nWorking knowledge of Python or similar for analysis (pandas, basic stats)\nFamiliarity with CRM data structures (HubSpot, Salesforce, Pipedrive)\nAbility to translate business questions into data requirements\nStrong verbal and written communication\nCustomer-facing and customer-centric mindset\nMust have the current and continuing right to work in the United States of America without restrictions or expirations","description_format":"text","description_chars":3853,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Embedded & Electronics Design","Management Consulting","Engineering 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