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Salesforce Reporting & Analytics Specialist

Job in Cincinnati, Hamilton County, Ohio, 45208, USA
Listing for: 84.51
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Business Intelligence, Data Analyst, CRM Systems & Management
Salary/Wage Range or Industry Benchmark: 78000 - 121000 USD Yearly USD 78000.00 121000.00 YEAR
Job Description & How to Apply Below

84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates create more personalized and valuable experiences for shoppers across the path to purchase.

Powered by cutting‑edge science, we utilize first‑party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer‑centric journey using 84.51° Insights, 84.51° Loyalty Marketing and our retail media advertising solution, Kroger Precision Marketing.

84.51° follows a 5‑day in‑office work schedule to support collaboration, alignment, and team connection.

Join us °!

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non‑immigrant status)

The Salesforce Reporting & Analytics Specialist is a member of Sales Operations responsible for developing, maintaining, and governing Salesforce reports, dashboards, and commercial analytics solutions. This role helps leaders and business teams turn Salesforce data into accurate, timely, and actionable insights that support pipeline management, forecasting, revenue visibility, opportunity tracking, quote performance, and executive decision‑making.

The specialist will partner across Sales, Sales Operations, Finance, Product, Engineering, and other commercial teams to understand reporting needs, translate business questions into scalable analytics solutions, and ensure that Salesforce reporting reflects established business processes and definitions. The role will also strengthen reporting governance, reduce manual data requests, promote self‑service analytics, and establish the data foundation needed for future automation, advanced analytics, and AI‑enabled capabilities.

Key Responsibilities Salesforce Reporting and Dashboard Development
  • Design, build, validate, and maintain Salesforce reports and dashboards that support commercial, operational, forecasting, and executive reporting needs.
  • Develop reporting solutions that provide visibility into pipeline, revenue, opportunity progression, quote performance, forecast performance, and other business‑critical metrics.
  • Establish scalable reporting structures that meet both immediate business requirements and longer‑term analytical needs.
  • Optimize dashboards and reporting processes to improve usability, performance, consistency, and stakeholder adoption.
  • Build solutions that reduce manual reporting activity and expand access to self‑service insights.
Forecasting and Pipeline Analytics
  • Develop and maintain reporting that supports Salesforce‑native forecasting processes, categories, methodologies, and review cadences.
  • Provide clear visibility into pipeline health, opportunity progression, forecast changes, and performance trends.
  • Support forecast accuracy by identifying reporting gaps, investigating variances, and validating the underlying Salesforce data.
  • Partner with Sales Operations and business leaders to improve forecast transparency, accountability, and confidence.
  • Support reporting structures used by sellers, commercial leaders, Finance, and executive stakeholders.
Data Quality, Reconciliation, and Reporting Integrity
  • Monitor Salesforce reporting data for accuracy, completeness, consistency, and reliability.
  • Perform field‑level, record‑level, financial, and reporting reconciliation when discrepancies are identified.
  • Investigate reporting defects, dashboard inconsistencies, duplicate data, integration‑related issues, and forecast gaps.
  • Partner with business and technical teams to identify…
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