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Overnight Data Analyst Developer Jobs in Utah (NOW HIRING)

This role is a balance between a Data Analyst and a Data Engineer. You should be equally comfortable and excited about coding and modeling as you are about mentoring, training, and empowering a team ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Senior DataBI Analyst

Salt Lake City, UT · On-site

$83K - $105K/yr

Required : • 3-5 years of experience in a data analytics, data engineering, or BI analyst role. • Proven ability to build and manage data pipelines independently, from ingestion to reporting. • ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data ... You will play a key role in advancing our data analytics capabilities, ensuring data is reliable ...

Data Engineer

Salt Lake City, UT · On-site +1

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data ... You will play a key role in advancing our data analytics capabilities, ensuring data is reliable ...

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... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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Overnight Data Analyst Developer information

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst developer involves skills in data management, visualization, and programming, which complement AI tools rather than being fully replaced by them.

Is 40 too late for data science?

For an Overnight Data Analyst Developer, age is not a barrier to entering data science or related roles. Many professionals transition into data analysis or development later in their careers by acquiring relevant skills such as programming, SQL, and data visualization tools, and certifications can also enhance employability regardless of age.

Can a developer be a data analyst?

A developer can transition into a data analyst role since both involve working with data, but data analysts typically focus on data interpretation, visualization, and reporting using tools like SQL, Excel, and Tableau. Developers often have strong programming skills that can be valuable in data analysis, especially when working with data pipelines or automation, but additional training in statistics and data visualization may be necessary.

Can a data analyst work at night?

A data analyst can work at night if their employer offers overnight shifts or flexible scheduling. Night shifts may require strong time management skills and familiarity with remote collaboration tools, but they are common in industries that operate 24/7 or require continuous data monitoring.
Analytics Engineer

Analytics Engineer

Podium

Lehi, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago


Job description

At Podium, we bring AI Employees to local businesses that turn every conversation into revenue. Trusted by 60,000+ businesses across Auto, Home Services, and Aesthetics, Podium captures and converts leads 24/7, driving both new business and repeat customers.
In under 24 months, we crossed $100M in AI Agent ARR, scaling 300% year-over-year. During this time, we've deployed 10,000 AI employees to empower real business outcomes for our customers. Podium is building what we believe will be the most impactful AI employee ecosystem for local business.
Podium has been recognized as the Best AI Implementation by Inc. Magazine, highlighted by OpenAI for building revenue-driving AI Agents, and awarded the #1 AI Agent for Business Operations by G2.
Our growth is fueled by hiring exceptional people, holding them to high standards, and creating opportunities for them to grow and make an impact. Our operating principles guide daily behavior and ensure we hire people who will thrive at Podium. If you're hungry for growth, aligned to our operating principles, and ready to get to work, you won't find a better place to learn and accelerate your career.
Analytics Engineer
This role will build out foundational agentic data tooling to support sales analytics and operations. As an Analytics Engineer at Podium you will be responsible for the infrastructure that supports all analytics projects, dashboards, reports, and models. Your direct stakeholders will be the internal Sales Operations and Analytics team but you will also work cross-functionally with talented Software Engineers, Data Engineers, and Data Scientists. The core responsibilities require you to create new data models and data agents on Snowflake. This role is a balance between a Data Analyst and a Data Engineer. You should be equally comfortable and excited about coding and modeling as you are about mentoring, training, and empowering a team of Analysts and Data Scientists.
What you will be doing:
  • Design and implement a semantic data warehouse layer on top of our datalake using Snowflake and dbt
  • Architect scalable data solutions that empower all of Podium to work with data through agentic processes more easily and efficiently
  • Write documentation for best practices and to record Podium's data
  • Follow best practices around version control and mentor Data Analysts and Data Scientists on version control

What you should have:
  • 3+ years of work experience with SQL and experience with multiple flavors, Snowflake preferred
  • 2+ years of work experience with Python
  • 2+ years of work experience using Git for version control
  • Experience using dbt and Snowflake is desirable
  • Demonstrated knowledge of how agents interact with data and how to build secure, scalable data interfaces for humans and AI
  • Strong drive to organize and document data in a reproducible manner
  • Ability to understand the business logic for structuring data in a given way while also understanding and overcoming the technical limitations and challenges of implementing the desired data structure
  • Eagerness to work on development of internal tools, systems, packages, process, and documentation
  • You have a proven record of providing analyses that have tangible impact on the business
  • Degree in Computer Science, Math, Statistics, Engineering, Economics, Information Systems, or hands on job experience with data science or analytics
  • You are committed to honesty and a diverse and inclusive workplace

What we hope you have:
  • Experience supporting Sales operations and GTM teams

Why you'll love working here:
  • Podium is the best place to work to:
    • Join the leaders in AI agents
    • Unlock career-defining growth
    • Build with world-class talent
    • Make a real impact on local business

Benefits
  • (If local to Utah) Work in this building in Lehi, UT 5 days a week
  • Open and transparent culture
  • Life insurance, long and short-term disability coverage
  • Paid maternity and paternity leave
  • Fertility Benefits
  • Generous vacation time, plus three 4-day summer holiday weekends
  • Excellent medical, dental, and vision benefits
  • 401k Plan
  • Bi-annual swag drops with cool Podium gear and apparel
  • A stellar HQ (Utah) gym with local professional coaches and classes offered
  • Onsite HQ (Utah) child care center, subsidized for employees

Podium is an equal opportunity employer. Podium provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, national origin, sexual orientation, gender identity or expression, age, disability, genetic information, marital status or veteran status.