Senior Data Analyst – Marketing, PR & Real Estate Analytics
Remote
United States
Posted 2 weeks ago
This is a remote Senior Data Analyst role at Clever, a venture-backed real estate technology company. The role primarily supports the marketing and public relations (PR) department by producing data-driven reports for public consumption, focusing on insights about the residential real estate market, personal finance, and consumer trends. The analyst will also be involved in internal analytics and platform evolution.
- Location: Remote (United States).
- Salary Range: $70,000 – $130,000/year.
- Experience: 3+ years of data analysis experience, ideally in multiple industries.
- Focus: Designing and analyzing surveys, developing custom market trend analyses using internal/external data for media outreach, effective presentation of data to non-technical stakeholders, and platform architecture contributions.
Key Responsibilities: Public Reporting and Internal Enablement
The analyst is a key link between the company’s data and its public-facing educational content and media outreach.
- Public Relations & Research: Develop key analyses for the marketing team, including running and analyzing surveys, and developing custom analyses of market trends using internal and external data for outreach projects.
- Stakeholder Communication: Help cross-functional teams maximize value from the internal analytics platform by effectively presenting data to non-data stakeholders (PR, Marketing, Editors).
- Platform Contribution: Contribute to architecture discussions and help define the evolution of the data platform.
- Content Production Support: Become a key support for Algorithmic Content teams, enabling data- and AI-powered content production pipelines (6-month goal).
- Data Product Translation: Collaborate with cross-functional teams to translate business requirements into reliable data products, including breaking down complex product specs into detailed tickets for data engineers.
Required and Preferred Skills
The role requires foundational technical skills, strong communication, and adaptability across business units.
- Required Technical Skills:
- High proficiency with spreadsheets (v lookups, pivot tables).
- Proficiency with SQL, Python, and/or R.
- Communication: Strong written and verbal communication skills and the ability to present clear, concise data summaries to non-technical audiences (essential for PR/media output).
- Work Style: Proactively propose alternative solutions, weighing risks and rewards thoughtfully.
- Nice-to-Have: Familiarity with Databricks.
Job Features
| Job Category | Customer Success, Data, Information Technology |