Financial Data Analyst
2 days ago
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.
- 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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