Senior Data Analyst

Job Responsibilities

Hands-On Analytical Work

• 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

Reporting & Dashboard Development

• 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

Cross-Functional Partnership

• 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

Qualifications

Required

• 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

Preferred

• 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.

What We Do

Artifact Uprising® is a Colorado-based company that creates premium quality customizable photo goods for your digital photos. Driven by the belief that everyone has a story to tell the company is known for elevated design and thoughtfully sourced materials.

Why Work With Us

We are a small company with big ideas - and we recognize it will take every last one of us to reinvent the way brands approach business. We believe a good workplace empowers its team to rise to new challenges expand their skill sets and think outside of the box. We look for driven people who strive to take the company to the next level.

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