Financial Data Analyst

2 days ago


Oakland, California, United States Dolls Kill Full time
About the Role:

We're seeking a skilled Financial Data Analyst to join our team at Dolls Kill. As a key member of our data-driven organization, you'll play a crucial role in managing complex projects, collaborating with cross-functional teams, and leveraging data to inform business decisions.

Key Responsibilities:
  • Develop and maintain a deep understanding of our business operations, building strong relationships with teams to drive data-driven insights.
  • Lead the development of scalable data infrastructure, ensuring seamless access to data and insights for stakeholders.
  • Extract, prepare, and ingest data from various sources, implementing efficient ETL processes to support data analysis.
  • Partner with the engineering team and external partners to ensure data housing, transformation, and querying are optimized.
  • Manage self-service tools for end-users, empowering them to explore data with minimal assistance.
  • Collaborate with merchandising, marketing, finance, product, and ops teams to understand their data needs, surface insights, and make recommendations.
  • Manage end-user facing ticketing systems, assigning and prioritizing work for the team.
  • Partner with teams to automate actions based on data, engineering creative solutions for data exchange between tools.
  • Ensure data records are maintained to meet GDPR and CCPA compliance requirements.
Requirements:
  • Strong analytical skills, with the ability to collect, organize, and analyze large datasets.
  • Experience with Looker or similar tools, such as Tableau or Power BI.
  • Proficiency in ETL tools and processes.
  • Skilled in processing, cleansing, and verifying data integrity, with knowledge of data models and database design development.
  • Comfortable editing production data, with close attention to detail.
  • Familiarity with common statistical models, with experience in R or Python a plus.
  • Experience with Matillion, PHP, JavaScript, or AWS a plus.
  • Detail-oriented, self-motivated, and experienced in leading and mentoring teams.
  • Strong knowledge of MySQL, with experience in query writing a must.
  • Degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.


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