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 Web.com.
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.
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