RevOps Data & Product Analyst (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

22 Jan, 26

Salary

0.0

Posted On

24 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Analysis, Business Intelligence, Dashboard Creation, Data Transformation, Data Quality, KPI Alignment, Reporting Automation, HubSpot, Statistics, Cross-Functional Collaboration, Communication, Data Integrity, Data Gaps Resolution, Executive Reporting

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a RevOps Data & Product Engineer in the United States. As a RevOps Data & Product Engineer, you will play a key role in transforming fragmented data into actionable insights that drive performance across Sales, Customer Success, Marketing, and Finance teams. You will design, build, and maintain robust datasets, automate reporting, and implement data quality safeguards to ensure accurate, reliable, and timely metrics. This hands-on role requires partnering with stakeholders to discover requirements, align KPIs, and deliver dashboards and analyses that enable data-driven decision-making. You will operate in a fast-paced, remote-first environment with high impact, working across multiple systems and tools to streamline workflows and improve operational efficiency. Strong technical skills, creativity, and an ability to communicate insights clearly are critical to success. Accountabilities Define, align, and maintain KPIs across Sales, Customer Success, Marketing, and Finance teams. Build automated dashboards and reporting pipelines to reduce manual reporting and accelerate decision-making. Model and transform data using SQL and Python to create clean, reusable datasets for analysis. Identify and resolve data gaps or inconsistencies across the GTM stack, ensuring reliable data sources. Establish reporting cadences including scorecards, alerts, and executive/functional reviews. Proactively deliver insights on funnel performance, retention, and opportunity areas with clear recommendations. Implement data contracts and quality guardrails to monitor, validate, and maintain data integrity. 4+ years of experience delivering BI solutions, including dashboards and automated reporting (Databox preferred; Power BI, Tableau, or Looker acceptable). Proficient in SQL and Python for data transformation, API pulls, and analysis. HubSpot Enterprise admin/analytics experience, including custom workflows, integrations, and lifecycle automation. Solid understanding of basic statistics and analytics for business insights. Proven ability to produce cross-functional dashboards that replace manual processes and influence business decisions. Strong communication skills to convert ambiguity into actionable briefs, datasets, and visuals. Preferred: experience with Vitally or similar CS analytics, Postgres, reverse ETL, dbt, AI tools, and lightweight forecasting or experimentation. Competitive health, dental, and vision insurance plans (Blue Shield PPO, Guardian). Employer-paid basic life insurance ($15,000) and long-term disability coverage. Parental leave: 1 month paternity, 3 months maternity. Paid time off: 25 PTO days, 5 sick days, plus birthday off. 401(k) plan with company details provided within the first month. Fully remote work environment with global candidate eligibility. Work equipment and 100% coverage of online courses/training provided. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

The RevOps Data & Product Analyst will transform fragmented data into actionable insights for various teams. This role involves designing and maintaining datasets, automating reporting, and ensuring data quality for informed decision-making.