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Inside Real Estate · 8 hours ago

Senior Data Analyst

Murray, UT

Full-time

Hybrid

Mid, Senior Level

3+ years exp

Inside Real Estate is a fast-growing, independently-owned real estate software firm that serves as a trusted technology partner to over 500,000 top brokerages, agents, and teams. They are seeking a Senior Data Analyst with expertise in product analytics, behavioral analysis, and predictive analytics to drive product and business decisions through data-driven insights.

AnalyticsBusiness IntelligenceCRMMarketingReal EstateSaaS

Responsibilities

Lead the analysis of user behavior and trends by leveraging advanced statistical methods and predictive models to generate insights into engagement and retention

Develop and standardize product metrics, aligned with company OKRs; utilizing cohort analysis to better understand user lifecycles and influence on customer lifetime value

Design and execute experimental strategies, including A/B tests to measure the impact of product changes, directly influencing product roadmap decisions

Create and maintain scalable reporting solutions that democratize access to key metrics, while ensuring data accuracy and integrity

Independently collaborate with cross-functional teams to define, measure, and capture data, transforming business questions into critical insights

Deliver clear, concise reports and visualizations that effectively communicate insights to both technical and non-technical audiences

Effectively manage stakeholder relationships, expectations, and delivery timelines for and around cross-functional deliverables

Lead the analysis for customer success stories and sales enablement by creating data-backed proof points for case studies and sales narratives

Mentor junior analysts while documenting and standardizing best practices for data analysis and reporting across the organization

Qualification

Product analyticsPredictive analyticsSQLPythonData visualizationA/B testingData governanceReal Estate experienceCommunication skillsProblem-solvingAttention to detailMentoring

Required

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field (Master's degree preferred)

3-5+ years of hands-on experience with product and customer analytics with a specialty in B2B/SaaS (i.e., product usage and engagement analysis, customer lifecycle metrics)

Strong proficiency in data analysis tools such as SQL and programming languages such as Python or R, with demonstrated ability to write efficient queries and build reproducible data pipelines to support statistical and analytical models

Experience with data visualization and BI tools for creating intuitive dashboards (Tableau strongly preferred)

Experience with modern data stacks including cloud-based databases (Redshift), ETL/Pipeline orchestration tools (Airflow), product analytics platforms (Segment, Amplitude) and version control/database tools (Github)

Experience with experimental design and A/B testing methodologies

Proven ability to lead and manage multiple initiatives from problem definition, defining success metrics, designing the experiment and communicating actionable results

Strong understanding of data governance and data quality principles

Excellent problem-solving skills and attention to detail

Possesses strong written and verbal communication skills in order to collaborate effectively across various teams and organizational levels