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Data Analyst

Stio logo

Location
United States
Base Salary
62k-80k USD
Stio

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 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.

Advice from our career coach

In order to succeed as a Data Analyst at Stio, it is essential to be detail-oriented, technically proficient, and have a strong desire to drive positive progress within the company. Here are some key tips to stand out as an applicant:

  • Ensure you have at least 3+ years of experience as a data analyst or in a similar role.
  • Showcase advanced Excel skills, including pivot tables, lookup functions, and formula efficiency.
  • Demonstrate experience with BI tools such as Power BI or Tableau.
  • Highlight intermediate SQL skills, including grouping, aggregations, case statements, and joins.
  • Emphasize your ability to create presentations and effectively communicate analysis findings to leadership.
  • If possible, showcase additional skills such as advanced SQL, experience with coding languages (R, Python), cloud data warehouses, and data transformation tools.
  • Highlight any professional experience with direct-to-consumer companies in the retail, apparel, footwear, or outdoor equipment industries.

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About the job

Sep 15, 2024

Full-time

62k-80k USD

  1. US United States
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