Financial Analytics Consultant
1 week ago
Dolls Kill is a leading global fashion label that champions individuality and self-expression. With a robust following of over 10 million on social media, we are connected with some of the most influential figures in music, art, and fashion.
Our organization is rapidly expanding, and we are on the lookout for enthusiastic team members who share our passion for creativity and innovation.
Position Overview:As a Financial Data Analyst, you will play a pivotal role in managing significant projects alongside a 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 and cultivate strong relationships across departments to leverage data for optimal decision-making.
- Lead a team to effectively address complex data challenges while mentoring and developing team members.
- Establish and maintain scalable data infrastructure to facilitate seamless access to insights.
- Extract, prepare, and ingest data from multiple sources, implementing ETL processes for efficient data access.
- Document and understand the underlying data from various origins.
- Collaborate with engineering teams and external partners to ensure efficient data management and transformation.
- Oversee self-service tools for end-users to explore a wide array of data independently.
- Work with merchandising, marketing, finance, product, and operations teams to identify their data needs, generate insights through reports and dashboards, and provide recommendations.
- Manage a ticketing system for end-user requests, prioritizing and assigning tasks to your team.
- Partner with teams to automate data-driven actions and create innovative solutions for data integration.
- Ensure compliance with data regulations such as GDPR and CCPA.
- Exceptional analytical skills with the ability to collect, organize, and interpret large datasets.
- Proficiency in Looker or similar analytics tools (e.g., Tableau, Power BI) is essential.
- Experience with ETL tools and methodologies.
- Skilled in data processing, cleansing, and ensuring data integrity for analysis; familiarity with data models and database design is advantageous.
- Attention to detail and comfort with editing production data.
- Knowledge of statistical models; experience with R or Python is a plus.
- Familiarity with tools such as Matillion, PHP, JavaScript, and AWS is beneficial.
- 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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