Senior Financial Data Analyst

1 week ago


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

Dolls Kill is a leading global fashion brand that champions individuality and self-expression. With a robust following of over 10 million on social media, we engage with influential figures across music, art, pop culture, and fashion.

Our company is supported by dedicated consumer-focused investors who align with our vision of creating one of the next great consumer brands.

As our team expands rapidly, we are on the lookout for talented individuals who share our passion and enthusiasm for our mission.


Role Overview:

As a Financial Data Analyst, you will play a pivotal role in managing significant projects alongside a dynamic and dedicated team, working extensively with data.

Your responsibilities will include integrating data from diverse sources, transforming it for actionable insights, and collaborating with various departments to ensure they have the necessary information for informed decision-making.

Key Responsibilities:

  • Develop a comprehensive understanding of the business landscape, fostering strong relationships across the organization to leverage data for optimal decision-making.
  • Oversee a team to effectively address complex data challenges while mentoring and developing team members.
  • Establish and maintain scalable data infrastructure to ensure seamless access to insights for all teams.
  • Extract, prepare, and process data from multiple sources, implementing ETL processes for efficient data accessibility.
  • Document and understand the underlying data structures from various sources.
  • Collaborate with engineering teams and external partners to ensure efficient data management and transformation.
  • Manage self-service data tools for end-users, enabling them to explore a wide range of data independently.
  • Work closely with merchandising, marketing, finance, product, and operations teams to identify their data needs, generate insights through reports and dashboards, and provide actionable recommendations.
  • Oversee a ticketing system for end-user requests, prioritizing and assigning tasks to your team.
  • Collaborate with teams to automate data-driven actions and create innovative solutions for data integration.
  • Ensure compliance with GDPR and CCPA regulations regarding data management.

Qualifications:
  • Exceptional analytical skills with the capability to collect, organize, and analyze large datasets.
  • Proficiency in Looker or similar data visualization tools (e.g., Tableau, Power BI).
  • Experience with ETL tools and methodologies.
  • Skilled in data processing, cleansing, and validation; familiarity with data models and database design.
  • Attention to detail and comfort with editing production data.
  • Knowledge of statistical models; experience with R or Python is advantageous.
  • Familiarity with tools such as Matillion, PHP, JavaScript, and AWS is a plus.
  • Detail-oriented and self-motivated.
  • Experience in leadership and mentoring roles.
  • Strong query writing skills with extensive knowledge of MySQL.
  • A degree in Mathematics, Economics, Computer Science, Information Management, or Statistics is preferred.


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