• Implement and quality-check online conversion tracking across Google Ads, Meta, LinkedIn, Microsoft Ads, and other paid media platforms • Set up and maintain offline conversion tracking using CRM integrations, CSV uploads, and API-based data pipelines • Build, configure, and maintain Google Tag Manager containers, custom triggers, variables, and Consent Mode implementations • Troubleshoot tracking issues and resolve data discrepancies across platforms • Validate tracking accuracy before project handoff • Collaborate with paid media and account management teams to ensure reliable campaign measurement

Title: Data Analyst Locations: Jackson, Wyoming, United States Salt Lake City, Utah, United States Denver, Colorado, United States Remote Finance Full time Job Description: ABOUT US Stio® is an omni-channel mountain brand that designs, develops and sells beautiful, functional, and innovative apparel, footwear and other accessories infused with the soul of the mountain lifestyle. With headquarters in Jackson, Wyoming, Stio draws inspiration from the surrounding Teton Range and offers product via Stio.com, catalog, B2B and its Mountain Studio® retail locations. We live and love mountain life, and as such see ourselves as caretakers of the resources that provide it. We are proud partners of Protect Our Winters and the Conservation Alliance among many other organizations. We have a strong preferred materials platform, use Bluesign® approved textiles wherever possible, audit our supply chains for best practices, and operate our workplaces responsibly. We think that outside is the best side and that you can’t improve on nature. It’s good for mind, body and soul, and it’s our responsibility to help enable access for all people, regardless of race, gender, beliefs, background or ability. We strive for inclusion at Stio and in our local and national communities. YOUR ROLE The Data Analyst is a key early member of Stio’s Data & Analytics team, working alongside the Director of Data & Analytics to expand how the business uses data to make decisions. This is a full-stack, horizontal role: the work spans data infrastructure (ingestion, modeling, transformation) through analysis, BI development, and direct stakeholder partnership across Finance, Merchandising, Marketing, Operations, Inventory Planning, and B2B. You’ll work where the highest-leverage problems are and grow the breadth and depth of the analytics function in the process. You’ll work in a stack built around Snowflake, Fivetran, dbt, Power BI, GitHub, and increasingly Python in addition to SQL and R. AI-assisted development is the default form factor for the team. Most of the code we ship is written collaboratively with AI agents in tools like Claude Code, then reviewed, tested, and iterated. The expectation is not that you arrive an expert in AI tooling. The expectation is that you bring strong fundamentals — the kind of data and modeling intuition that lets you catch silently wrong AI output that runs cleanly and passes tests — and that you’re genuinely curious about how this part of the craft is evolving. As an early team member, you’ll help shape how we work in this environment, not just execute someone else’s playbook. We’re looking for an analyst who connects what they see in the data to the bigger picture and who has a strong bias for tying analysis to action. The right person doesn’t hesitate to sweep the floor (fix a broken Excel link), isn’t afraid to question the status quo (does this metric actually measure what it claims to?), and would rather quickly solve a pressing business problem with simple analysis than build a sophisticated model that collects dust. A foundation of technical skills is essential. Even more important is an eagerness to learn new things, sound judgment under ambiguity, and a desire to drive positive progress at Stio. This is a remote role that is part of the Finance department and reports to the Director of Data & Analytics. YOUR RESPONSIBILITIES - Partner directly with stakeholders across the business (Product Development, Marketing, DTC, B2B, Finance, Operations, Inventory Planning) to translate ambiguous questions into well-defined analyses, dashboards, and data products. You’ll own these end-to-end: scoping, building, validating, and communicating findings. - Build and maintain dbt models that turn raw source-system data into trustworthy, well-documented datasets. Write the tests and documentation that let both humans and AI agents downstream rely on the work. - Develop and maintain the semantic context, dashboards, and reports that the rest of the business uses to operate day-to-day. - Own metric definitions and business semantics. Drive alignment when stakeholders disagree on what a definition or number means. - Review and harden AI-generated SQL, dbt models, and Python code with the judgment to catch issues that pass tests but are semantically wrong. The majority of your output will be code you’ve collaborated on with AI agents, and you’ll bring the data intuition that makes that work trustworthy. - Investigate ambiguous data questions where the answer isn’t in the schema: talk to source-system owners, investigate edge cases, reconcile conflicting definitions, and improve our model of the business. - Help build and maintain Stio’s data infrastructure — currently Snowflake, Fivetran, dbt, GitHub, Power BI, R, and Python — and contribute to decisions about where the stack should evolve. - Improve data governance for both the Data & Analytics team and the business at large by creating documentation that’s actually useful and that AI agents can consume as context for future work. - Continuously develop your skills as the practice of data analytics evolves. This is a real part of the job, not something done on the side. YOUR SKILLS AND EXPERIENCE - 3+ years of professional experience as a data analyst, analytics engineer, or similar role - Advanced SQL: CTEs, window functions, comfortable wrangling messy real-world data, can read and reason about query plans well enough to know when something is off - Hands-on experience with dbt, including writing models, tests, and documentation. You don’t need to have built a dbt project from scratch, but you should be comfortable contributing to one and know what good looks like - Experience with cloud data warehouses (Snowflake, BigQuery, Databricks, Redshift, Microsoft Fabric, or similar) - Version control with Git/GitHub as part of your normal workflow - Experience as a developer with at least one BI tool (Power BI, Tableau, Looker, Omni, or similar) - A real point of view on AI-assisted development for analytics work — what it’s actually good at, where it falls down, what you do to make the output trustworthy - History of building collaborative, trusting relationships with non-technical stakeholders - Comfort presenting findings to leadership verbally, in writing, and visually PREFERRED ADDITIONAL SKILLS AND EXPERIENCE Though not required, we would consider the following as an added plus: - Working knowledge of Python and/or R for analysis - Experience with the components of our data stack (Snowflake, Fivetran, dbt, GitHub, Power BI, Python, R, Claude Code, Codex) - Experience with some of the systems we use: NetSuite, Shopify, Google Analytics, Segment, Klaviyo - Professional experience at a DTC or omni-channel retail, apparel, footwear, or outdoor company - Experience working in a small or solo data team where you owned the work end-to-end THE FINE PRINT - Must be able to work in a stationary position 50% - 75% of the work day - Medical, Dental Vision plans - Company Paid Long Term Disability - Employee Assistance Programs - 401k with Match - Generous paid time off policies - Gear test, perks and more We provide competitive compensation packages, inclusive of base pay, incentives and benefits. The base salary range for this role is $85,000-$100,000. It would not be typical for someone to be hired at the top end of the range for the role, as actual pay will be determined based on several factors including experience, skills, and qualifications. This job description is not necessarily an exhaustive list of all responsibilities, skills, duties, requirements, efforts, or working conditions associated with the job. While this is intended to be an accurate reflection of the current job, we reserve the right to revise the job or to require that other or different tasks be performed. Stio is an equal opportunity employer of all qualified individuals, including minorities, BIPOC, LGBTQ+, veterans & individuals with disabilities.

Role Description The Data Centre of Excellence requires a resource to support the design and development of analytical data products & services to enable the GoA to better leverage its data assets and support the implementation of the GoA Data Strategy. Working within a team, this resource is an expert and plays a key role in ensuring high-quality data modeling, applying algorithms, de-identification, synthetic data creation, visualizations, and development of evidence for use across ministries and with external stakeholders. This role will enact the pillars of the Data Strategy by using data to benefit Albertans. Duties: - Provides hands-on support, leadership, advice, and direction on the strategic data initiatives that are being undertaken as part of the Data Strategy. - Coordinates with various internal and external clients to understand their analytics needs and how to use the data to best meet these needs. - Anticipates, identifies, and responds to diverse and complex data analytic requirements across GoA departments and from external organizations. - Ensures services and project deliverables evolve as the work progresses, in response to emerging user and business needs, as well as design and technical opportunities. - Works with Manager Analytics Capability Centre to: - Develop and share analytical models and products. - Provide continuous improvement of analytics capacities. - Design and support development of analytic service offerings. - Analyzes and organizes raw data, preparing it for prescriptive and predictive modeling, while building algorithms that deliver business value. - Supports in the development of full-stack data analytics or AI applications as required. - Provides expertise and leadership in the design and competition of analytic projects. - Evaluates business needs, enhances data quality, and designs analytical tools to support data services. - Conducts complex data analysis and collaborates with data engineers and analysts on various projects. - Coaches and mentors team members, fostering a client-centric approach and encouraging innovative solutions. - Works closely with senior management to support a cultural shift toward data as a strategic asset and maintain effective relationships with internal and external stakeholders. - Creates and presents options, roadmaps, frameworks, models, and briefings for senior executives regarding analytics services, based on best and emerging practices and principles. - Facilitates strategic conversations to develop shared understanding and generate options for decision-making to align diverse stakeholder interests and goals. - Develops baseline and ongoing outcomes, key results, metrics, and other indicators. - Works as part of a team responsible for the generalizable extraction of knowledge from data by applying various techniques and methodologies including probability models, machine learning, computer programming, statistics, data engineering, pattern recognition and learning, and data visualizations. - Applies skills to provide insights, support decision-making, and facilitate strategic business planning across the department. - Focuses on understanding predictive analytics and needs-based analytics strategies to simplify, consistently produce, and re-use analytical models and assets to drive measurable value. - Provides executives and decision-makers with a deeper understanding of their operations, transactions, services, and information required for them to identify new opportunities that can be uncovered through analytics. - Provides depth and insights on GoA's data assets and transforms them into meaningful analytics for decision-making. - Brings knowledge of statistical classification techniques such as k-means and hierarchical clustering, partition trees, and logistic regression. - Integrates both quantitative and qualitative data to create business insights. - Designs and creates dashboards and custom reporting with various data sources and inputs. - Analyzes data and prepares results. - Gathers and documents client requirements. - Captures business and technical metadata for analytical products. - Escalates issues and risks, as appropriate. - Works within a multi-vendor/staff environment. Qualifications - Data Analytics Specialist / Data Scientist with a diverse range of analytical skills. - Experience in working in multi-faceted roles including data analysis, data science, data modeling, statistical analysis, AI & ML, strategizing, advising, data product design, and delivery. Requirements - Expertise in anticipating, identifying, and responding to diverse and complex data analytic requirements. - Ability to coordinate with various internal and external clients. - Strong analytical and problem-solving skills. - Experience in coaching and mentoring team members. - Ability to create and present analytical models and products. Benefits - Opportunity to work on strategic data initiatives. - Collaboration with various internal and external stakeholders. - Professional development and mentorship opportunities.

• Teach for America is increasing our investment in our student outcomes strategy that combines multiple approaches to understand how our students are performing and use student data for program improvement. • Support collection of student data from district and school partners across TFA regions. • Build and manage strategic data sharing partnerships with school districts and state agencies. • Develop and maintain strong relationships with LEAs and SEAs. • Establish trust with district and state partners to facilitate timely sharing of student achievement data. • Serve as the primary point of contact for partner agencies throughout the data collection process. • Lead regional student data collection projects, including developing and managing project plans. • Analyze and translate student achievement data into actionable insights. • Ensure data collection, storage, and reporting comply with policies and student data privacy requirements.