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Sales Data Analyst

ABOUT GOODR

We create and sell $25 active sunglasses for anyone. No slip, no bounce, all polarized, all fun. Interested in joining our team? Keep reading.

OUR VALUES: We have two core values: Fun & Authenticity.

  • FUN = Being sh*tty isn’t fun. Agreed? Taking pride in your work, finding joy in being GREAT, and celebrating wins… and losses. Now, that’s fun!
  • AUTHENTICITY = Focusing on being authentic over being liked. (Next-level guru stuff. Count it.)

Fun Fact: We do not allow email to be sent internally. Carrier pigeons only. JK, we use Slack.

AUTONOMY: We practice autonomy, empowerment, and accountability so that every team member can be in control of their own life.

  • HYBRID WORKING: Most roles are only required to be in office every Tuesday and Thursday with the occasional third day thrown in.
  • PROFESSIONAL DEVELOPMENT: We have an all-company learning program so that we’re constantly leveling up our skills.

SUSTAINABILITY: We think Earth’s pretty rad. That’s why we take action wherever possible to limit our impact on the planet.

  • 1% FOR THE PLANET MEMBER: 1% of goodr’s annual sales go directly to environmental organizations.
  • CARBON NEUTRAL: In 2019, goodr became a 100% carbon neutral company

Fun Fact: Each year we create limited-edition sunglasses made from 100% recycled materials called “These Shades are Trash”. Check out a pair and join the movement!


ABOUT THE ROLE

We say data - you say yaaaay!! Are you the person who gets excited about analyzing data? You’ve created your own spreadsheet to collect data about your favorite football team? Of course it is so detailed that you could go into the sports statistics business with it. To be honest, we don’t get it, but we think that this position might be the right fit for you.

As our Sales Data Analyst you will report to the Director of Business Intelligence while providing the team with strategic dashboards and reports that can help drive decisions around performance.

 

RESPONSIBILITIES

  • Lead routine and ad-hoc analysis of our D2C sales performance and provide insights to our sales team 
  • Perform historical sales and retailer reporting and trend analysis
  • Identify needs for analysis and collaborate with sales team to develop sales forecasts 
  • Conduct analysis of weekly, monthly, quarterly and annual key performance indicators (KPI) and business drivers for presentation to senior management
  • Understand and monitor relevant data/trends to determine potential impacts to business results and incorporate this information into forecasts and analyses 
  • Develop and update sales forecasts leveraging our existing Neural Network
  • Create and maintain company and weekly Dashboards
  • Implement and support continuous improvement in data analytics, business intelligence, and reporting efficiency and effectiveness 
  • Lead continuous improvement opportunities to improve forecasting, cost structuring, planning and reporting processes
  • Present to key role holder your findings and recommendations
  • Support sales operations director in overall operations of the company
  • Communicate effectively with the cross-functional teams to address their needs
  • Communicate and elevate concerns and issues with the management team as needed
  • This role is in the Business Intelligence team and will report directly to the Director of Business Intelligence
  • Perform other related duties as assigned

ABOUT THE IDEAL CANDIDATE 

  • May or may not have a degree...we don’t care (bonus points for Basset Hound Science or Dinosaur Law)
  • 4+ years of proven working experience in a sales analytics role with a record of demonstrated achievement utilizing data to drive action
  • 3+ years of experience analyzing complex data 
  • Proficiency with data visualization tools (Power BI, Tableau, or similar)    
  • Proven comfort with large data sets and the tools to manage large data sets in order to facilitate a dynamic sales environment
  • Expert level in Microsoft Excel
  • SQL knowledge is a MUST
  • Experience with neural networks, machine learning, python, or similar
  • Experience effectively working with and presenting information to senior management
  • Strong analytical skills including attention to detail and multitasking skills
  • Ability to apply logical and critical thinking skills to various situations at the same time
  • Self-starter with the ability to take initiative and ownership of tasks
  • Loves everything above
  • Asks a lot of questions 
  • Loves the work more than a paycheck 
  • Loves getting and giving feedback 
  • Is into personal growth
  • Is proactive and an independent problem solver (Can you google a question?)

WHAT YOU GET

  • A role at a company that is going to the moon
  • The opportunity to show up every day and have fun
  • The ability to learn and grow as a person
  • Discretionary vacation
  • Flexible work environment (want to go for a run at 11am on Wednesday, go for it!)
  • Paycheck... obviously. Salary range: $85k - $95k, final number dependent on experience
  • Medical, Dental, and Vision benefits
  • 401(K) with company matching
  • Financial Wellness Counseling
  • Sunglasses. Duh.

**No Visa Sponsorship is available for this position.

 

NEXT STEPS

Here's what we expect the hiring process for this role to be, should all go well with your candidacy. This entire process is expected to take 10 weeks to complete (we've allotted time to celebrate the holidays obvi) and you'd be expected to start on a specific date. 

1. Application

2. Fill out a form with basic questions

3. 20 minute introductory meeting with HR team member

4. 20 minute culture interview with HR team member

5. 90 minute in-person interviews with peers and manager

6. Final assignment and presentation

7. Offer!

TO GET THE PROCESS STARTED, SUBMIT THE FOLLOWING: 

  • Resume
  • Cover letter showing your personality. Seriously. No boring corporate speak allowed.
  • Links to projects or groups you’re involved with (if you have them)
  • A drawing of an octopus fighting a pirate (not joking)*

*We accept submissions using accessibility tools.

 

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