Artifact Uprising is looking for a hands-on Senior Data Analyst to join our small but mighty analytics function. This is a role for someone who loves rolling up their sleeves, building dashboards that actually get used, writing SQL to answer real business questions, and digging into messy data until it makes sense.
You’ll work across Marketing, Merchandising, Product, Operations, CX, and Finance to help teams understand what the data is telling them. You won’t have direct reports, but you’ll have real ownership and high visibility. If you’re comfortable doing the foundational work of a great data organization and excited about growing into more strategic responsibilities over time, this role is for you.
Job Responsibilities
Write and optimize SQL in Snowflake for segmentation, funnel analysis, cohort behavior, and promotional impact; perform acquisition, LTV, retention, and customer journey analysis that connects to business action
Design and evaluate A/B tests, apply significance testing, and translate complex analysis into clear, concise data stories that non-technical stakeholders can act on
Contribute to data models that support ongoing and ad hoc analysis
Build and maintain accurate, well-documented Looker dashboards tightly aligned with how teams make decisions; reduce dashboard sprawl and enforce consistent metric definitions across the org
Proactively surface trends, anomalies, and emerging opportunities through ongoing monitoring; maintain data quality standards and flag upstream issues to data engineering
Serve as a reliable analytics partner to Marketing, Merchandising, Product, Operations, CX, and Finance
Help stakeholders understand what they can self-serve (Looker, Heap) versus what needs analytical support; shape vague requests into well-scoped analyses with clear tradeoffs and sequencing
Partner with product and engineering to define what data should be instrumented based on the questions that matter most
Hands-On Analytical Work
Reporting & Dashboard Development
Cross-Functional Partnership
Qualifications
5+ years of experience in an analytics function with strong problem-solving skills
Advanced SQL, window functions, CTEs, complex joins, and the ability to debug unexpected results by tracing them back to the data model; working knowledge of data warehousing, relational databases, and dimensional modeling
E-commerce experience
Proficiency in a modern BI tool (Looker strongly preferred; Tableau or Power BI acceptable), including building and maintaining the semantic layer
Statistical rigor: able to distinguish correlation from causation, design and evaluate A/B tests, and communicate findings clearly to non-technical audiences
Collaborative and curious, experienced in navigating competing priorities, turning ambiguous asks into clear deliverables, and partnering across multiple teams with a growth mindset
BS in a quantitative discipline (mathematics, statistics, computer science) or equivalent experience
Experience with Snowflake, dbt, and LookML; familiarity with product analytics tools (Heap, Amplitude, Mixpanel) or event collection platforms (Segment)
Python or R for statistical modeling, simulation, or automation
Background in customer segmentation, lifecycle analysis, and marketing attribution.
Required
Preferred
Top Skills
Artifact Uprising Denver, Colorado, USA Office
We are located in the up-and-coming Sunnyside neighborhood in Denver. Our office is surrounded by great local restaurants, bars, and coffee shops.
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