- Location
- Sandy, UT
- Career Area
- Analytics
- Job Function
- Implementing analytics systems
- Employment Type
- Full Time
- Position Type
- Salary $80k – $130k DOE
- Experience
- 1 to 3 years
What you already should know
You should already have a strong, functional working knowledge of SQL and using cloud data warehouses like Big Query.
What we will happily teach you
It will be important that you become proficient with a variety of marketing technology platforms like. For example, analytics platforms like GA4 and Adobe, CRM platforms like Hubspot and Salesforce, as well as ecommerce engines like Shopify.
From there the next step is mastering things like dbt – data transformation tools, version controls, Fivetran or other ELT tools like Stitch and Supermetrics.
Preferred Qualifications
- Data visualization using the data mart tables you’ve built (PowerBI, Tableau, Google Data Studio).
- Writing custom ETL processes (Python/Javascript, APIs, cloud functions/lambda).
- Experience in agency work and owning client outcomes, coordinating with them on discovery, implementation, and enablement.
Where You Fit In As The Data Engineer
Role: Analytics Architect
The design of an analytics system based on business needs, its configuration, the customer journeys that are encompassed, and the function of the website, app, etc.
What data should be collected (including metadata), what events should be collected (and what should trigger their collection), how the analytics system cooperates with other tech that is in use.
How it should be grouped or rolled up to accommodate answering meaningful questions.
Role: Analytics Engineer
The implementation of tracking such that the analytics architecture is translated into a real-world system. The verification of all events, triggers, and integrity of the data both at time of collection and in the destination systems that collect the data.
Role: Data Engineer
The transformation, enriching, and cleanup of data via a series of logical, well-documented steps that provide the capability of a business to trust the output data.
Through this process there should be singular places to get each piece of output data. The logic behind the cleanup processes should be congruent across an organization.
Role: Visualization Engineer
The translation of clean, enriched data into meaningful dashboards, reports, exploration tools that leverage visualization to facilitate meaningful interpretation of data with as few distractions as possible.
Role: Data Analyst
Through the use of dashboards, reports, and exploration tools (which could include ad hoc SQL work), mining for insights (something different than expected or new opportunities).
This can take the form of answering an explicit question from within a business, exploration for the sake of seeking insights, or at the prompt of a monitoring system.
Role: Optimization Engineer
Pulling the learnings from each step in the process our teams come together to create ideas for iterative testing our clients can use to narrow down the cause and effect of the insights discovered in their data.
This allows everyone to move forward with confidence knowing what each lever in the campaign is doing to contribute to increased ROI.
Benefits of Working With Us
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Competitive Pay
There is a huge shortage of qualified technically skilled people - we know that and our salaries reflect it.
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Covered Premiums
After 2 years with adMind your entire premium is covered whether you're single or have multiple dependants.
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2nd & 4th Fridays Off
Your read that right, you get the day off every 2nd and 4th Friday, every month forever.
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Hybrid Working
We've adopted a hybrid working model where we have a mix of people working from home or remote or both.
FAQs
Where are the offices located?
We’re in an office park located about a 1/2 mile north of the Maverick on I-15 and 90th South.
We’re just a 2 minute drive to all the restaurants near Top Golf in Murray. Lunch spots include, Cafe Rio, R&R, Pretty Bird, Mo Bettah, Popeyes, and more.
A single stop light separates us from the freeway, so getting here is pretty quick regardless of where you live in the valley.
What is the in-office situation?
What does the office look like?
Just because we’re scrappy doesn’t mean we can’t look the part.
We’re putting up new wall graphics, wall art and furniture upgrades each month.
We have a full residential kitchen with stocked pantry.
We just remodeled our bathrooms with the number one measurable being ‘comfort.’ Full size mirrors, high end toilets, bathroom amenities for days.
You don’t need to come into the office every day, but when you do, we want it to be a place you enjoy coming to.
What are some adMind perks?
We enjoy the 2nd and 4th Friday of each month off.
We have a stocked pantry and full kitchen when you’re hungry.
Once a month we do a company sponsored activity, mini golf, catching a movie, game tournaments, pizza making.
We provide the equipment you’ll need to work both in office and at home.
What is the company culture like?
We call this type of person an ‘A player.’
People who are A players have a high standard of performance for themselves and don’t need external motivation to do their best.
Because we only choose to hire A players the culture here is collaborative, functional, results driven and devoid of politics and ego.
What are the core company values?
Take extreme ownership.
Value progress over perfection.
Be in love with the problem?
How long has adMind been around?
As time progressed we discovered the huge need our clients had for proper analytics work, so we made a pivot to lean more into analytics consulting while still offering PPC management.
Over the years our expertise has grown in the areas of marketing analytics, data warehousing and insight generation.
Moving forward we hope to continue helping marketers ‘measure the impact of their marketing’ through proper analytics practice.
What about the clients adMind works with?
Typically this happens after a company has achieved product market fit and wants to scale their growth, or is a funded start up looking to make sure they get the most from their marketing budget.
A typical client will be spending $50k to $5M per month in digital media spend and have an marketing team of 5+ people.
Our role is to come in and design a better analytics solution, using their people, our process and the technology best suited to their business.
We don’t sell a SaaS for analytics, we help teams design, implement and learn from a proper analytics practice of accurately collection data, properly joining it and displaying it in a way that makes sense for their team.
Key Characteristics of all adMind'ers
Growth Mindset
You thrive on challenge, and don't see failure as a way to describe yourself but as a springboard for growth and developing your abilities.
Extreme Ownership
The practice of owning everything in your world, to an extreme degree. You are responsible for not just those tasks which you directly control, but for all those that affect whether or not your work is successful.
Progress Over Perfection
This means we don't waste time fine tuning every possible aspect of a task until it's perfect at the sacrifice of moving an objective forward and learning quickly.
Success Profile
To be a good fit at adMind and for your experience here to be a good fit for you, here is the mix of soft skills you’ll need.
Career Growth
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First 30 Days
Understanding Your Fit
Develop an understanding for where adMind fits in the market, and where you fit in adMind.
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First 60 Days
Problem Solving with Team
Begin participating in client problems and contributing ideas.
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First 90 Days
Owning Your Own Projects
You are now taking on projects that you drive.
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6 Months In
Solving Problems on Your Own
You're now driving projects on your own and delivering milestones.
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12 Months In
Complete Skills Mastery
Through applied skill development you are now mastering all the skills needed.
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18 Months In
Evaluation Next Career Steps
Let's start talking about the next steps in your career.
Take The Right Next Step
Don't settle for a career where you languish, take the opportunity to learn, grow and advance your career.