Senior Manager, Data Analytics
San Francisco, CA
Applications have closed
Join us as our Senior Manager of Data Analytics! We are looking for a gritty problem solver and self-starter who will be a crucial interface between the Data Analytics team and Engineering team. On one hand, you thoroughly understand the needs of the Analytics team and are able to predict future requirements. On the other hand, you partner with the Engineering team, especially the Data Engineers, to identify, vet, and prioritize upstream data to fulfill and facilitate the analytics needs. Your goal is to provide capability and drive operational excellence for the analytics team, while bringing efficiency to the partnership.
What You Get To Do Every Day
- Lead the thought process of defining, developing, optimizing and ensuring curated datasets and schemas with standardized metrics and definitions (single source of truth) across the company
- Proactively drive the vision for BI and Data Warehousing for all business lines across the company, and define and execute on a plan to achieve that vision
- Evolve analytical data ecosystems to enable excellent data capabilities, including big data analysis
- Design, develop, and maintain robust and efficient data pipelines/processes that can meet the data needs of various use-cases with the lowest incremental effort
- Partner with various stakeholders within the company, understand their data and reporting requirements, translate them into definitions and technical specifications, and deliver the outcome
What You Bring To The Role
- 6+ years of analytics and data engineering experience; retail industry experience highly preferred
- 3+ years of experience with hadoop, hive, spark or other big data processing systems
- 3+ years of experience with BI tools such as microstrategy, tableau, looker etc.
- Proven ability to design and lead time-sensitive strategic projects involving methodology development, analysis, strategic recommendations, and presentation of the findings
- Expert in SQL
- Degree in a technical field (engineering, computer science, mathematics, etc.) required
- Experience with Unix shell scripting and python highly preferred
- Database performance tuning skills highly preferred
The RealReal is the world’s largest online marketplace for authenticated, resale luxury goods, with more than 20 million members. With a rigorous authentication process overseen by experts, The RealReal provides a safe and reliable platform for consumers to buy and sell their luxury items. We have hundreds of in-house gemologists, horologists and brand authenticators who inspect thousands of items each day. As a sustainable company, we give new life to pieces by thousands of brands across numerous categories—including women's and men's fashion, fine jewelry and watches, art and home—in support of the circular economy. We make selling effortless with free virtual appointments, in-home pickup, drop-off and direct shipping. We do all of the work for consignors, including authenticating, using AI and machine learning to determine optimal pricing, photographing and listing their items, as well as handling shipping and customer service. At our 13 retail locations, including our eight shoppable stores, customers can sell, meet with our experts and receive free valuations.
The RealReal is committed to providing an equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or Veteran status. We will consider qualified applicants for a position regardless of arrest or conviction records, consistent with legal requirements. GHR4159
#LI-AK10
Tags: Big Data Computer Science Data analysis Data Analytics Data pipelines Data Warehousing Engineering Hadoop Looker Machine Learning Mathematics Pipelines Python Spark SQL Tableau
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open AI Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Principal Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Manager jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Databricks-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open CI/CD-related jobs