ZipRecruiter

Log In

1

Analytics Engineer Jobs in Ogden, UT (NOW HIRING)

Workday

Analytics Engineer

Salt Lake City, UT · On-site

$99K - $130K/yr

About You You are an experienced analyst or analytics engineer who is genuinely happiest in the data layer. You care about whether a model will still make sense in two years, you write SQL other ...

ARUP

Senior Analytics Engineer

Salt Lake City, UT

$100K - $138K/yr

The Sr. Analytics Engineer is responsible for modeling our complex clinical and operational data into data products that capture how a world-class laboratory functions. Works with Information ...

Draper

Senior Radiation Analysis Engineer

Clearfield, UT · On-site

$82K - $220K/yr

Senior-Level Radiation Analysis Engineer Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000+ employees of Draper tackle important national ...

next page

Showing results 1-20

All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Ogden, UT

Analytics Engineer information

See Ogden, UT salary details

$57.4K

$100.2K

$163.4K

How much do analytics engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for analytics engineer in Ogden, UT is $100,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,806.00 and $112,439.00 per year, depending on experience, location, and employer.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What are the key skills and qualifications needed to thrive as an analytics engineer, and why are they important?

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What job categories do people searching Analytics Engineer jobs in Ogden, UT look for?

The top searched job categories for Analytics Engineer jobs in Ogden, UT are:

What cities near Ogden, UT are hiring for Analytics Engineer jobs?

Cities near Ogden, UT with the most Analytics Engineer job openings:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Ogden, UT as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $100,172 per year, or $48.2 per hour.

Senior Engineer, Analytics

Salt Lake City, UT • On-site

IPL (Indiana)
See more jobs at IPL (Indiana)external

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

Job description

Are you ready to be part of a companythat'snot just talking about the future, but actively shaping it? Join The AES Corporation, the largest US-based global power company witha teamof 8,300employees across 12 countries.
AES has beenranked #1 byBloombergNEFin renewable energy sales to corporations in the US and Americas for five consecutive years, providing electricityformillions of peopleworldwide.
We are proud to foster a strong workplace culture, earning prominent positions in Great Place to Work rankings across the markets where weoperate. AES was also named one of the World's Most Ethical Companies for the 13th consecutive year in 2026, highlighting our dedication to integrity, transparency, and responsible business practices.

Our spirit of innovation continues to earn industry recognition. AES is the only seven-time winner of the Edison Electric Institute's Edison Awards in the twenty-first century, a distinction honoringglobal leadership in advancing the electric power industry.
Ifyou'reready to be part of a companythat'snot just adapting to change, but driving it, AES is the place for you.We'renot just building a more sustainable future,we'repowering it. Apply now and energize your career with a true leader inglobalenergy.


AES Clean Energy (CE) is seeking a Senior Analytics Engineer to support the Operations and Maintenance (O&M) Engineering team in building the data analytics architecture to support the future growth of the CE portfolio and its growing data-related needs. This individual will play a pivotal role in ensuring AES CE's operational excellence by expanding the availability of data and analytics to various stakeholders in the O&M team. The ideal candidate will be a self-starter with an ability to deliver creative, efficient solutions to challenging problems surrounding the growing operational dataset.

At AES, we raise the quality of life around the world by changing the way energy works. Everyone makes an impact every day in our small, global teams. Apply here to start an extraordinary career today.

AES's mission is to improve lives by accelerating a safer and greener energy future. We are a global, agile, cohesive organization with an employee engagement level akin to a startup company. AES businesses throughout the world are often recognized as great places to work. Our people share a passion to help meet the world's current and increasing energy needs, while providing communities and countries the opportunity for economic growth due to the availability of reliable, affordable electric power.

A day in the life of an AES CE Sr. Analytics Engineer will include, but is not limited to:

Designing, building and maintaining data warehouses, data cleansing processes, analytics dashboards, pipelines, and automated reporting solutions Support high data quality, reliability, and availability across CEDAR and related automated workflows Owning and administrating core data engineering and analytics platforms used by the Data Analytics team Collaborating with Analytics Engineering, O&M Engineering, and Digital teams to deliver scalable data solutions Working on AI/Machine Learning projects to improve the performance of the AES Clean Energy fleet of solar, wind, and energy storage assets

The Sr. Analytics Engineer supports a larger O&M team and serves as the subject matter expert for data-related aspects of operating and monitoring clean energy plants. This requires knowledge and experience working with SCADA/DAS systems, data warehouses, reporting tools, and other advanced analytics and data infrastructure tools (i.e. Power BI, SQL, R and Python). Excellent communication, task management and planning skills needed, in addition to technical breadth.

The position may include up to 5-10% travel to partner offices and project locations.

Key Responsibilities

Operations

  • Work with AES Data Engineers to establish and maintain data warehouses to support the O&M team's advanced analytics and reporting needs
  • Build scalable, automated reporting solutions to meet the growing compliance demands of the CE Asset Management group
  • Establish and monitor data quality frameworks, data governance, validation processes, and system performance metrics
  • Ensure scalable, reliable ingestion and processing of operational data from SCADA, DAS, and other external data sources to the GCP data lake
  • Participate in and lead AI/Machine Learning initiatives in collaboration with the AES Digital Team and O&M team stakeholders
  • Become an expert in AES Clean Energy's DAS tools and propose ways to improve their data quality, overall function and utilization

Collaboration

  • Collaborate with the Analytics Engineering team to ensure data products are built on scalable, reliable infrastructure
  • Together with the CE Operations Technology and Data Engineering teams, work to deliver successful data pipelines from SCADA/DAS providers to data warehouses
  • Work cross functionally to create scalable data infrastructure and workflows
  • Provide technical support and maintenance of automated reporting systems utilized by the CE Asset Management group
  • As a subject matter expert, advise other team members across the organization on best practices for data-related projects

Growth and Leadership

  • Participate in AES CE's growth planning process by contributing to process improvement task forces and other strategic planning activities
  • Improve and develop processes for utilizing data to ensure the operation of safe, quality and high-performance projects
  • Willingness to continue to learn and grow your skills, constantly evaluating how AES CE operations can be improved
Skills and Qualifications

Primary Qualifications

  • Undergraduate degree in Engineering, Computer Science, or equivalent technical field and 5+ years of experience in an analytics-focused and/or engineering role
  • Advanced proficiency with R, Python, or SAS, as well as SQL
  • Advanced proficiency developing reports and dashboards in Power BI, Tableau, Qlik Sense or another BI software
  • Strong familiarity with DAS and SCADA systems and their data architectures
  • Experience with Google Cloud Platform, Big Query, or other cloud computing platforms
  • Experience designing and maintaining scalable data pipelines (ETL/ELT) and utilizing related tools (e.g., DBT, Prefect, Airflow)
  • Strong analytical thinking and problem-solving skills
  • Experience designing data models, analytics datasets, data products, or application layers
  • Experience building or owning production data pipelines, data platforms, or analytics systems
  • Ability to work effectively with Microsoft software programs, including-but-not-limited-to Excel, Outlook, Word, and PowerPoint
  • Excellent written and verbal communication skills
  • High degree of commitment to a quality safety culture and an incident-free work environment
  • Personal values consistent with those of the AES Corporation

"Plus" Qualifications

  • Advanced degree in Engineering, Computer Science, Data Science, or equivalent
  • Experience with the technical aspects of Solar PV, Wind, and Energy Storage Systems
  • Experience with AI/ML-enabled analytics, including LLMs, RAG, and anomaly detection
  • Spanish language skills

AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization

AES is an Equal Opportunity Employer who is committed to building strength and delivering long-term sustainability through diversity and inclusion. Respecting all backgrounds, differences and perspectives enables us to improve the lives of our people, customers, suppliers, contractors, and the communities in which we live and work. All qualified applicants will receive consideration for employment without regard to sex, sexual orientation, gender, gender identity and/or expression, race, national origin, ethnicity, age, religion, marital status, physical or mental disability, pregnancy, childbirth, or related medical condition, military or veteran status, or any other characteristic protected under applicable law. E-Verify Notice: AES will provide the Social Security Administration (SSA) and if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.The expected salary for this position, at commencement of employment, is between $113,000 and $141,525/year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position also includes annual bonus. The benefits offered for this position are: medical, dental, and vision coverage, life insurance, 401(k) eligibility, and paid time off (including vacation, sick leave time, and parental leave). Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. If hired, employee will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.Apply by clicking the application link below and submitting your information. The deadline to apply for this role is 09/23/2026

Apply