Data Analyst II - Wholesale & International

Overview Fabletics is currently looking for a Data Analyst II – Wholesale & International. The role plays a critical part in building and scaling how we collect, manage, and analyze data across our international partner network and wholesale business. The Data Analyst will own the intake, validation, and standardization of in‑market partner data across 13+ global partners, while supporting reporting and analysis across distributors and wholesale channels. The analyst will combine third‑party partner data with internal (DTC) datasets to deliver comprehensive sales reporting and actionable insights, partner closely with cross‑functional stakeholders, and collaborate with data engineering and analytics teams to improve data pipelines, dashboards, and reporting infrastructure. The role is part of the Data Analytics team and supports key initiatives across Wholesale and International. Responsibilities Own and continuously improve the intake, validation, and standardization of international partner and wholesale data across all markets. Build and scale processes for collecting, organizing, and maintaining third‑party data submissions. Sanitize and reconcile partner‑reported data, identifying discrepancies and driving resolution of data quality issues. Combine third‑party data with internal datasets to create comprehensive sales and performance reporting across wholesale and international channels. Support reporting and analysis across broader wholesale channels, including distributors and partner accounts. Support the development and ongoing maintenance of a centralized pricing data framework, improving visibility and consistency across markets, showrooms, and product lifecycles. Write SQL queries and support data modeling to transform raw data into structured, usable datasets. Develop and maintain Tableau dashboards that provide clear visibility into wholesale and international business performance. Partner with business stakeholders to understand reporting needs and deliver actionable insights that inform decision‑making. Contribute to efforts to consolidate product and inventory data across systems (e.g., Centric, BlueCherry, partner data), helping define requirements for a more unified data structure. Identify gaps and inconsistencies across data sources and work with data engineering and business teams to improve data integrity, accessibility, and usability. Deliver analysis and reporting that supports business reviews and contributes to executive‑level discussions. Collaborate with data engineering teams to improve data pipelines, infrastructure, and automation of reporting processes. Provide input into analytics and data project prioritization by representing wholesale and international business needs in sprint planning discussions. Identify opportunities to improve data quality, reporting efficiency, and overall insight generation across the wholesale and international business. Explore and implement opportunities to leverage AI and automation tools to enhance data workflows, reporting processes, and analytical output. Required Qualifications 2+ years of experience in data analytics, business intelligence, or a related field. Strong SQL proficiency, including experience working with large datasets and supporting basic data modeling. Experience building dashboards and reporting tools using Tableau or similar platforms. Working knowledge of data warehousing, ETL/ELT processes, and familiarity with Snowflake or similar systems. Experience working with both first‑party and third‑party datasets, including reconciling inconsistencies. Strong analytical mindset with the ability to structure data and translate it into actionable insights. Experience collaborating cross‑functionally in a fast‑paced environment. Strong attention to detail with a focus on data accuracy and integrity. Ability to troubleshoot upstream/downstream data issues and trace data lineage across systems. Strong curiosity and a proactive mindset toward leveraging AI tools and technologies to improve workflows, data processing, and insight generation. Demonstrated ability to quickly learn and adapt to new tools, technologies, and data environments. Comfort with working in evolving tech stacks and navigating ambiguity while ramping up on unfamiliar systems. Strong problem‑solving skills with a growth mindset and eagerness to continuously upskill. Ideal candidate brings foundational AI literacy, including experience using generative AI tools, and a proactive mindset to experiment with new technologies to drive productivity and innovation. Preferred Qualifications Experience in retail, e‑commerce, or consumer goods. Familiarity with POS, sell‑through, and wholesale/distributor data. Experience working with wholesale, partner‑driven, and/or DTC business models. Exposure to international or multi‑market business environments. Experience partnering with data engineering to define data models, schema design, and transformation logic. Exposure to modern data tools or willingness to rapidly learn new platforms. Location and Travel The role is based in our El Segundo HQ. Candidates must currently reside in the Los Angeles area and be within commuting distance. This position does not accommodate remote or relocation candidates. Compensation and Benefits Annual base salary range: $95,000 – $115,000. Hybrid work schedule (varies by role). Discretionary paid time off. Summer Fridays. Healthcare plans. Employee discounts. 401(k) plan. Annual bonus program. Equity program. Additional benefits as applicable. Equal Opportunity Employer Fabletics, Inc. is an equal opportunity employer. We recruit, employ, compensate, develop, and promote regardless of race, national origin, religion, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, and other protected status as required by applicable law. We celebrate diversity and commit to fostering an inclusive workplace culture. #J-18808-Ljbffr Dormont Manufacturing Co