BizBuySell Lead Data Analyst
San Francisco, CA - USA
Job Summary
Job Description
Company Overview
CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information analytics and online marketplaces. Included in the S&P 500 Index CoStar Group is on a mission to digitize the worlds real estate empowering all people to discover properties insights and connections that improve their businesses and lives.
We have been living and breathing the world of real estate information and online marketplaces for over 35 years giving us the perspective to create truly unique and valuable offerings to our customers. Weve continually refined transformed and perfected our approach to our business creating a language that has become standard in our industry for our customers and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers our employees and investors. By equipping the brightest minds with the best
resources available we provide an invaluable edge in real estate.
About BizBuySell
BizBuySelloperates the internets largest and most heavily trafficked business for sale marketplaces with more business listings more unique users and more leads delivered than any other platform. Our customers include small business buyers sellers owners brokers and others who need our information and services to help them buy or sell a business or franchise.
Role Description
Data sits at the core ofBizBuySellsvalueconnecting buyer intent listing quality broker performance traffic and conversion outcomes across a complex multi-sided marketplace.We are searching for a full-time Lead Data Analyst to join our team toact as the senior-most individual contributor for analytics within theBizBuySellproduct organization. This role will own marketplace-level analytics define analytical standards and drive insight thatshapesproduct strategy monetization and broker success. This is not a reporting-only role. You willoperateas an analytics strategist and architect partnering closely with Product Engineering Marketing Sales and Leadership to answer the most ambiguous and consequential questions facing the business. As we expand our use of AI both internally and in customer-facing features you willhelp assemble the datasetsthat power those capabilities.
This positionis located inSan Francisco andis 5days onsite.
Responsibilities
- Define and own coreoperational metrics to measure impact of enhancements assess risks and drive revenue growth
- Acquireand clean data from multiple sources; develop queriesin order toconduct analysis and create business performance dashboards
- Conduct exploratory data analysis to understand user behavior producttrendsand areas of opportunityfor major product initiatives (e.g. pricing packaging listing upgrades broker tooling experimentation)
- Partner with Product and Exec leadership to inform roadmap prioritization and investment decisions employingdata visualization and statistical tools to deliver business insights
- Establish standards for data quality metric definitions experimentation analysis and dashboard design
- Design andmaintaincanonicaldatasets and semantic models used across Product Growth and Sales
- Own the data models and analytical foundations that power AI-driven product experiences
- Reduce ad-hoc analytics load by building scalable self-service tooling and documentation
Basic Qualifications
- Bachelors Degreerequiredfrom an accredited not-for-profit in-person college/university.
- A track recordof commitment to prior employers.
- 8 years of experience as a data analyst.
- Expert-levelSQLandExcel skills.
- Expertisewithbusiness intelligence software ( BILooker or equivalent).
- Excellent communication skillsable to explain nuanced findings to non-technical audiences.
Preferred Qualifications
- Experience working withdata at scale in platforms likeDatabricksBigQueryandSnowflakein an AWS environment.
- Knowledge of web analytics tools ( Analytics Google Tag Manager).
- Exposure in performing data analysis and providing insights for high-traffic SaaS products particularly with multi-sided marketplacesconversionfunnels andcohort analysis.
- Experience designing analytical datasets used in AI machinelearning or rules-based optimization systems (e.g. scoring ranking recommendation or classification).
- Expertise withstatistical analysis and data manipulation in Python.
Whats in it for you
When you join CoStar Group youll experience a collaborative and innovative culture working alongside
the best and brightest to empower our people and customers to succeed.
We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training and tuition reimbursement.
- Our benefits package includes (but is not limited to):
- Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
- Life legal and supplementary insurance
- Virtual and in person mental health counseling services for individuals and family
- Commuter and parking benefits
- 401(K) retirement plan with matching contributions
- Employee stock purchase plan
- Paid time off
- Tuition reimbursement
- On-site fitness center and/or reimbursed fitness center membership costs (location dependent)
- Access to CoStar Groups Employee Resource Groups
- Complimentary gourmet coffee tea hot chocolate fresh fruit and other healthy snacks
Salary: This position offers an annual base salary range of $123000 - $175000 based on relevant skills and experience and includes a generous benefits plan.
We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However please note that CoStar Group is not able to provide visa sponsorship for this position.
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CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing
Required Experience:
IC
About Company
The most recommended lease management platform for office and retail tenant portfolios of commercial real estate.