Financial Data Analyst

Dolls Kill is a global fashion brand that empowers everyone to celebrate their individuality. We currently have over 10 million social media followers including some of the most influential personalities in music, art, pop culture and fashion.

We’re also backed by strong consumer-focused investors who share in our vision of building one of the world’s next great consumer brands.

Our team is growing quickly and we are hiring across many functions. We are looking for team members who are equally passionate about what we do and excited about joining the Dolls Kill crew.

Applicant and Candidate Privacy NoticeAbout the Role : In this role you’ll be hands-on managing big projects, with a smart passionate team, and deal with loads of data.

You’ll lead integrating data from a variety of sources, transforming it for use, generating insights, and partnering with teams across the company to assure they have the information they need to make the best decisions.

We're looking for a Financial Data Analyst who would handle advanced and complex excel modeling, sales data extraction to perform product productivity analysis, pricing and promotion analysis and other relevant customer based data to translate into meaningful action plans for continued growth.

$90,000 - $125,000 a yearResponsibilities : ·Develop and maintain a strong understanding of the business, build strong relationships across the company, and partner with teams to leverage data to drive the best decisions and outcomes·Manage team to efficiently and effectively tackle complex data challenges, coach and develop team members·Build and maintain scalable infrastructure to provide teams seamless access to data and insights·Extract, prepare and ingest data from various sources, set up ETLs to ready data for efficient access·Understand and document underlying data from multiple sources·Partner with the engineering team and external partners to assure efficient data housing, transformation and querying (Redshift, MySQL)·Manage self-service tools for end users across the company to explore a wide variety of data with little assistance·Partner with merchandising, marketing, finance, product, and ops teams to understand their data needs, surface insights through reports and dashboards, and make recommendations·Manage end-user facing ticketing system, assign and prioritize work for your team·Partner with teams to automate actions based on data, engineer creative solutions for passing data between tools·Manage data records to maintain GDPR+CCPA data complianceRequirements : ·Strong analytical skills with the ability to collect, organize and analyze large amounts of data·Experience with Looker or similar tool a must (Tableau, Power BI, etc.

Experience with ETL tools and processes·Skilled at processing, cleansing, and verifying the integrity of data used for analysis;

technical familiarity with data models and database design development·Comfortable editing production data, close attention to detail·Familiarity with common statistical models, experience with R or python a plus·Experience with the following a plus : Matillion, PHP, Javascript, AWS·Detail oriented, self-starter·Experience leading and mentoring·Adept at query writing, strong knowledge of and experience with MySQL a must·Degree in Mathematics, Economics, Computer Science, Information Management or Statistics,