[Remote] Senior Data Analyst

Note: The job is a remote job and is open to candidates in USA. 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 to drive product and business decisions through data-driven insights, leveraging expertise in product analytics, behavioral analysis, and predictive analytics.

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

Skills

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
• 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
• 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
• Master's degree
• Tableau strongly preferred
• Experience in the Real Estate industry is a plus

Benefits

• 3 Medical plans to choose from - 1 PPO and 2 HDHPs
• 2 Dental plans to choose from
• Vision
• HSA - company-funded
• FSAs - healthcare, limited purpose, dependent care
• Short-Term Disability - company-paid
• Long-Term Disability - company-paid
• Basic Employee Life Insurance - company-paid
• Voluntary Dependent Life Insurance
• Voluntary Accident Insurance
• Voluntary Critical Illness
• Voluntary Hospital Indemnity
• ID Protection
• Pet Insurance
• 401(k) Retirement Savings with company match
• Paid PTO/Vacation/Sick Time
• 11 company-recognized holidays
• Company-paid Parental/Disability Leave

Company Overview

• Inside Real Estate is a marketing software for real estate agents. It was founded in 2008, and is headquartered in Murray, Utah, USA, with a workforce of 501-1000 employees. Its website is http://insiderealestate.com.

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