Data Analyst
Stio
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 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 will be an important player in enhancing Stio’s ability to leverage data to inform decision making across the company. This is a full-stack analyst position with an end-to-end focus: the work ranges from helping to build foundational data infrastructure to diving deep into specific functional areas to guide business strategy. As an early member of a growing analytics team, the Data Analyst will have the chance to make a broad, tangible impact on our infrastructure, processes, and analysis projects. Working closely with a variety of teams from finance and operations to marketing and product development, the Data Analyst will analyze business performance using existing tools, then design better ones. They will help shape our data into more useful forms and work to tie analysis to action.
We are looking for a detail-oriented analyst who can connect what they see in the data to the bigger picture. The right candidate is someone who doesn’t hesitate to sweep the floor (e.g., fix a broken Excel link) and isn’t afraid to think outside the box (e.g., does this metric actually measure what is intended?). A foundation of technical skills is essential, but even more important is an eagerness to learn new things 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 Senior Business Analyst.
YOUR RESPONSIBILITIES
- Ownership of seasonal reporting and analysis that informs go-to-market product strategy (e.g., product returns reporting, product color performance analysis)
- Creation and maintenance of business intelligence dashboards that support departments across the company
- Assist in building and maintaining Stio’s data infrastructure (currently Fivetran, Microsoft Fabric, Spark/SQL/dbt, R, Power BI in addition to Excel and various data sources)
- Conducting ad hoc analysis to better understand business performance both proactively and in support of senior leadership questions
- Automating manual reporting and analysis tasks
- Improving data governance by creating documentation for both processes and data objects
- Continuous learning to improve knowledge of technical best practices
YOUR SKILLS AND EXPERIENCE
- 3+ years of relevant past professional experience as a data analyst, business analyst, or similar role
- Advanced Excel skills (e.g., pivot tables, various lookup functions, comfortable writing efficient formulas, easily-to-follow work)
- Experience as a developer with at least one BI tool (e.g., Power BI, Tableau)
- A minimum of intermediate SQL skills required (e.g., grouping and aggregations, case statements, joins)
- Experience creating presentations and communicating analysis findings to leadership (verbally, written, and visually)
PREFERRED ADDITIONAL SKILLS AND EXPERIENCE
- Though not required, we would consider the following as an added plus:
- Advanced SQL skills (e.g., subqueries, window functions, and data wrangling)
- Experience with coding languages used for analytics (e.g., R, Python)
- Experience with cloud data warehouses (e.g., Snowflake, BigQuery) and data transformation tools (e.g., dbt)
- Experience with some of systems we use: Netsuite, Shopify, Google Analytics, Segment
- Professional experience with a direct-to-consumer company in the retail, apparel/footwear, outdoor equipment industries
THE FINE PRINT
- Medical, Dental Vision plans
- Company Paid Long Term Disability
- Employee Assistance Program
- 401k with Match
- Company DEI Committee
- 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 $62,000-$80,000. 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.
At Stio, we create gear that embodies the true essence of mountain life from our hometown of Jackson, Wyoming. Our elevated, responsibly designed styles range from the epic to the everyday and are inspired by an ecosystem that blends natural connection and active balance. We are rooted at the base of the Tetons so we can see mountains, access trailheads and hear spring creeks daily to feed our souls and keep us grounded. This shared mindset of nature, access and balance resonates far beyond our peaks and valley, directly to your mountain life community across distance, geography and topography.
Source ⇲
remotive.com
To apply, please visit the following URL:https://remotive.com/remote-jobs/data/data-analyst-1937787→