Director of Data Strategy & Analytics transforming property tech for Purchasing Platform. Leading data strategy & analytics to drive insight-driven decision-making across the organization.
Responsibilities
Define and own the company’s multi-year data strategy, ensuring alignment with business priorities across revenue growth, operational efficiency, and customer experience.
Develop and maintain enterprise data standards, governance frameworks, and policies that ensure consistency, accuracy, and compliance across all data assets.
Identify and evaluate emerging data technologies, platforms, and methodologies — including AI/ML-powered analytics — and build a roadmap for their adoption where they deliver measurable commercial value.
Partner with senior leadership (VP Finance, CTO, SVP Operations) to translate business questions into structured analytical programs w/clear data requirements & success metrics.
Represent the data function in cross-functional leadership discussions, board presentations, and external partner conversations as the company’s data authority.
Oversee the design, development, and continuous improvement of our data pipelines, data warehouse, and ETL/ELT processes to ensure scalable, reliable, and timely data delivery.
Lead the design and delivery of dashboards, reports, and analytical models that support decision-making across commercial, operational, and financial functions.
Build, lead, and develop a high-performing data team — including analysts, and BI developers — through hiring, mentorship, performance management, and structured growth planning.
Requirements
7+ years of progressive experience in data analytics, business intelligence, or data engineering, with at least 3–5 years in a leadership or management capacity.
Proven experience in a B2B eCommerce, marketplace, or B2B SaaS environment with annual revenue of $20M+; experience scaling a data function through a high-growth phase is strongly preferred.
Demonstrated success building and leading data teams, including hiring, developing, and retaining analytical talent.
Strong hands-on proficiency with SQL and at least one statistical or data science language (Python, R); experience with modern data stack components (e.g., dbt, Snowflake, BigQuery, Redshift, Fivetran, Airflow).
Deep experience with business intelligence and data visualization platforms (e.g., Tableau, Looker, Power BI) and a track record of building dashboards and reporting frameworks that drive commercial action.
Experience with statistical modeling, forecasting techniques, and A/B testing methodologies.
Familiarity with data governance frameworks, data privacy regulations (GDPR, CCPA), and enterprise data security best practices.
Benefits
Health & Wellness: Choose from a variety of health plans tailored to meet your needs. Plus, enjoy a $75/month wellness perk to support your fitness and mental health.
Financial Security: Plan for the future with our 401(k) plan, featuring a company match. We also provide a $75/month remote work expense reimbursement to cover your cell phone or internet costs.
Work-Life Balance: With a minimum of 30 days of paid time off each year, including PTO, holidays, and a winter break, you'll have the time you need to relax and recharge.
Parental Leave: We support new parents with 6 weeks of paid leave, ensuring you have the time to bond with your little one.
Hybrid Work Model: Our team enjoys the flexibility of a hybrid work model. Join us in-office each Tuesday for our All Hands meeting and collaboration sessions. On other days, choose where you work best, whether from home or our office. We also offer a commuter expense reimbursement perk to make your in-office days easier.
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