Sr. Business Intelligence Analyst

500+ Employees



  • Reputation reached over $100m in Annual Recurring Revenue (ARR) in 2022 and continues to grow worldwide.
  • We've raised over $200 million in funding from A-list venture capital firms such as Bessemer Venture Partner and Kleiner Perkins, including $150 million in equity financing from Marlin Equity Partners in January 2022.
  • Reputation is trusted by more than 250 partners, including Google, Facebook, Salesforce, J.D. Power, Amazon and
  • Our industry leading platform has been recognized by Forrester and Gartner as a vendor of choice in Voice of the Customer, Customer Feedback Management, and Social Suites research reports.
  • The platform is used by 10+ major automotive OEMs and 16,000 auto dealerships, more than 250 healthcare systems, and over 100 leading property management firms.
  • Our executive management team is committed to building a performance-based culture where excellence is rewarded and careers are developed.
  • Who thrives at Reputation? Managers who embody a player-coach mentality. Employees who value teamwork and cross-functional collaboration. People who emphasize perseverance and hustle over quick wins and luck.
  • Our Mission: We exist to forge relationships between companies and communities.

Your Responsibilities

  • Responsible for creation of the data architecture and ETL process to enable visualization creation within our BI platform.
  • Build automated reports and dashboards around business performance and user engagement metrics
  • Improve existing data visualizations to help them better drive business stakeholder action
  • Synthesize large, complex data sets to address strategic, financial, and operational business questions
  • Surface gaps, reconcile conflicts in data sources, and drive resolution with Engineering and stakeholders
  • Present your analysis and actionable recommendations via concise stories to business leaders to drive strategic business decisions
  • Assist with overcoming Ad-hoc challenges in data management, analytics, and visualization
  • Create and maintain documentation that includes design, requirements, and data schemas
  • Implement, and automate operational reporting and dashboards designed to be easily understood and actioned by business users
  • Call out gaps in data quality and governance and collaborate across IT, Security, Legal, Sales, Customer Success, Engineering, and Finance to continuously drive improvement
  • Present analyses, conclusions, and recommendations to key business stakeholders
  • Assist in the development of data pipelines and ETL processes
  • Additional duties as assigned.

Required Skills and Experience

  • Strong SQL experience (must be able to analyze multiple large, complex data sets) with high attention to detail. Experience working with structured and unstructured data is a plus
  • Experience in a Data Engineer, Data Analyst, Business Analyst, or similar role using SQL and Python/R
  • Ability to work directly with end business users to gather requirements to build new visualizations or dataflows.
  • Ability to communicate persuasively, write clearly and concisely, listen attentively, and collaborate with partners to reach mutually beneficial outcomes.
  • Ability to translate complex technical products and features into simple concepts and presentations
  • Experience as a “data generalist” is highly preferred. The best candidates have some experience with data visualization, analytics/data engineering, ETL, database systems data modeling, statistical modeling, and other quantitative analytical methods
  • Experience with Data Warehouse Technologies (Redshift, RDS, Snowflake, Databricks, BigQuery, etc)
  • Extensive experience using BI visualization tools such as Tableau, Looker, Domo, etc.
  • Experience developing integrations on Postman and using IPaaS solutions, working with JSON/ XML formats using SOAP and REST APIs
  • Exposure to data processes in SaaS business applications such as CRM, ERP, HRIS, etc
  • Genuine Intellectual curiosity, flexibility, and the ability to work independently and fulfill requests in a timely fashion all in a fast-paced dynamic environment

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