Marketing Data Analyst

What You’ll Do:

As a Data Analyst on the Coastal Ridge Marketing team, you’ll play a key role in turning data into decisions across our multifamily portfolio. Sitting at the intersection of marketing, operations, and leadership, you’ll own dashboards, reports, and analysis that help teams understand performance, identify trends early, and act with confidence. You’ll work across marketing platforms, property management systems, and internal tools to translate complex data into insights that drive business optimization.

Located in downtown Columbus, Ohio, our corporate offices overlook the Columbus Commons which plays host to over 200 events throughout the year. Enjoy the building’s fitness center and rooftop terrace with adjoining clubroom, and walk to some of the city’s best restaurants and downtown amenities.

• Build and maintain dashboards and recurring reports that track marketing, leasing, and operational performance
• Analyze portfolio- and property-level data to identify trends, anomalies, and optimization opportunities
• Translate complex data into clear, actionable insights for technical and non-technical stakeholders
• Create intuitive, visually compelling dashboards using tools like Looker Studio, Tableau, Power BI, or similar
• Standardize KPIs and reporting frameworks to ensure consistency across teams
• Partner closely with Marketing to enhance reporting tools and make insights easier to access and act on
• Work with data from Entrata, Real Page, Google Ads, Meta Ads, Quickbase, and internal systems
• Integrate and normalize data from multiple platforms to create holistic performance views
• Collaborate with Marketing, Operations, Revenue Management, and Leadership to support business decision-making
• Support ad hoc analyses and strategic initiatives as priorities evolve
• Proactively recommend data-driven improvements to processes, campaigns, and reporting
• Other duties and projects as directed and assigned

• Bachelor’s degree in Analytics, Data Science, Business, Marketing, Economics, or a related field (or equivalent experience)
• 2–4+ years of experience in a data analyst or reporting-focused role
• Strong experience building dashboards and data visualizations
• Hands-on experience analyzing data from marketing platforms and business systems, including paid media performance (Google Ads, Meta), marketing attribution, funnel analysis, and lead lifecycle data
• Advanced proficiency in Excel or Google Sheets (formulas, pivot tables, data modeling)
• Working knowledge of SQL and/or data warehouses (Snowflake a plus)
• Experience in multifamily, real estate, or property management preferred
• Familiarity with Entrata, Real Page, Quickbase, or similar systems

• Detail-driven. You notice the small things that make a big difference and take pride in accuracy, polish, and completeness.
• A master of your craft. You care deeply about the quality of your work and are never satisfied with “good enough.” You continuously refine, audit, and improve what you own.
• A systems thinker. You create repeatable habits and processes that drive predictable results.
• A relationship steward. You believe great service builds long-term trust and lasting partnerships.
• An improvement-minded innovator. You’re open to new tools, ideas, and approaches that make work smarter and more effective.

Built on the foundation of over 20 years of friendships, Coastal Ridge is a vertically integrated multifamily real estate operator, investor, and developer whose unique approach successfully combines data and experience. Supported by over 800 real estate professionals with deep sector expertise, we have quickly grown into a leader in the multifamily industry. Our values are based on relationships and driven by honesty, integrity, and trust.

As a Coastal Ridge Real Estate associate, you’ll be eligible to participate in a variety of benefit programs designed to fit you and your lifestyle. We are committed to providing competitive and comprehensive benefits that align with our culture and the needs of our associates.