Description
THE ROLE
We're looking for a mid-to-senior level BI Analyst who can independently investigate complex business problems across marketing, ecommerce, operations, inventory, product, and finance, identify root causes, communicate insights clearly, and build scalable reporting and analytical solutions that drive action. While reporting directly to the Head of Data & Analytics, you will also serve as a strategic partner to business leaders across the organization - not only providing information, but advising on decisions and helping shape the processes through which those decisions are executed.
This role requires a unique balance of business acumen, independent problem-solving, and technical expertise. You will own our analytics front end (Sigma), work comfortably within our Snowflake data warehouse, and leverage data analysis, visualization, and monitoring to solve complex business challenges.
If you love turning messy business data into clean, trustworthy solutions - and you also love working in a non-traditional, eclectic, irreverent environment - keep reading.
JOB SPECS
Department: Data & Analytics
Reports To: Head of Data & Analytics
Supervises: None (individual contributor role)
FLSA Status: Exempt
Pay Scale: $75,000-$125,000 USD, depending on location and experience
Location: Remote or Hybrid (La Conner, WA) - international applicants encouraged to apply
Schedule: Full time
Benefits: Health insurance with HSA option (80% employer paid), employee paid Dental and Vision, 401(k), flexible PTO including holidays, employee jewelry discount, parental leave (may vary for international hires)
KEY RESPONSIBILITIES
? Business Partnership & Requirement Gathering: Act as a dedicated data partner to business stakeholders. Meet regularly with teams to diagnose operational challenges, gather requirements, and proactively propose analytical solutions.
? BI Development & Automation: Design, build, and maintain intuitive dashboards, interactive tables, automated alerts, and integrated workflows to support core business functions. Own and implement reporting standards across our Sigma instance.
? Data Modeling & Transformation: Collaborate with our broader data team to advise on the design and maintenance of data models in our warehouse.
? Independent Analysis & Experimentation: Utilize statistics, SQL, Python, R, or similar tools to conduct independent deep-dives, identify trends, and back up business hypotheses with rigorous analysis.
? Data Literacy & Governance: Empower business users to leverage self-service data in Sigma safely and effectively, acting as a champion for metric consistency across the organization.
Requirements
QUALIFICATIONS
Required
? 5+ years of work experience in business intelligence, data analysis, or a highly analytical business role, with demonstrated experience analyzing business performance across multiple functions, including marketing, ecommerce, product, operations, inventory, finance, or supply chain.
? E-commerce & Operations Exposure: General experience with e-commerce and manufacturing/ERP data.
? Business Acumen & Fluency: Ability to move fluidly between executive-level business questions and detailed data analysis, translating ambiguous problems into actionable recommendations.
? Scientific Problem Solving: A strong foundational habit of formulating clear hypotheses, systematically interrogating datasets to isolate variables, and validating findings with logical rigor before drawing conclusions.
? Technical Breadth: Foundational knowledge of statistics (e.g., hypothesis testing, descriptive stats), experimental design, and A/B testing. Proficiency with SQL. Familiarity with dimensional modeling best practices. Familiarity with at least one data exploration and analysis language (R, Python, etc.).
? Modern Data Stack Experience: Reasonable capability working with Snowflake (or equivalent) and navigating dbt models.
? Mastery of Modern BI Tools: Deep, hands-on experience developing advanced, interactive dashboards, alerts, and automations with modern BI tools such as Tableau, Power BI, Looker, Sigma, Omni, or similar.
? AI-Native: Hands-on experience using generative AI and agentic AI applications to enhance business intelligence workflows.
? Understanding User Behavior: Demonstrated ability to anticipate how users will interact with a data product and what will be most useful for focusing their attention and driving decisive action.
Preferred
? Specific experience with marketing attribution, product/collection performance, and supply chain analytics.
? Experience with Sigma specifically, in addition to other modern BI tools.
SKILLS
? You know our tools and data: You bring experience with modern data tooling and with the types of data that are core to our business (marketing, e-commerce, production, supply chain, customer service).
? You're an investigative problem solver: You don't just build what people ask for; you ask "why" until you understand the root symptom, then build what they actually need.
? You're an autonomous executor: You don't need a detailed feature list to get to work. Once given a strategic direction or a general problem to solve, you're excited to jump in, talk to the team, figure out what's actually broken, and own the solution end-to-end.
? You're a translator: You excel at bridging the gap between technical data layers and non-technical business concepts.
? You're highly curious: You constantly experiment with new tools and methodologies, and stay up to date with emerging technologies, particularly AI.
? You value data trust: You care deeply about accuracy, knowing that a broken dashboard or an incorrect metric breaks trust with the business.
WHAT YOU'LL GAIN
? Ownership of GLDN's analytics front end (Sigma) and a direct hand in how the whole company makes decisions.
? A flexible remote or hybrid setup, open to international applicants.
? Competitive pay: $75,000-$125,000 USD, depending on location and experience.
? Comprehensive benefits, including 80%-employer-paid health insurance with an HSA option, dental, vision, 401(k), and flexible PTO (may vary for international hires).
