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Analytics Director Jobs in Springville, UT (NOW HIRING)

The Director of Marketing manages and develops direct reports, oversees paid media and lead ... Own marketing analytics and reporting: independently monitor dashboards and analyze traffic ...

Strong communication, leadership, and analytical skills. Ability to work with customers on issue ... As Director of Customer Success, West, several technical skills are crucial to effectively managing ...

DIRECTOR OF FINANCE- $100,000-$120,000 Midway Utah Our Vibe: A Cozy, Relaxed Mountain Escape We are ... Partner with department heads over a cup of coffee to provide analytical coaching, helping them ...

Director of Retail Department: Guest Experiences Reports To: Senior Director of Guest Experiences ... Analyze sales trends, inventory performance, labor efficiency, and profitability across all retail ...

Director of Retail Department: Guest Experiences Reports To: Senior Director of Guest Experiences ... Analyze sales trends, inventory performance, labor efficiency, and profitability across all retail ...

Director of Retail Department: Guest Experiences Reports To: Senior Director of Guest Experiences ... Analyze sales trends, inventory performance, labor efficiency, and profitability across all retail ...

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 ...

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Analytics Director information

See Springville, UT salary details

$66K

$147.1K

$227.4K

How much do analytics director jobs pay per year?

As of Jul 20, 2026, the average yearly pay for analytics director in Springville, UT is $147,053.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $167,400.00 per year, depending on experience, location, and employer.

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

To thrive as an Analytics Director, you need strong analytical abilities, expertise in statistical methods, advanced data modeling, and typically a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and experience with big data systems are common requirements. Exceptional leadership, strategic thinking, and communication skills help drive cross-functional projects and translate complex data into actionable insights for stakeholders. These skills and qualities are essential to effectively lead analytics teams, influence business decisions, and deliver measurable value to the organization.

What does an Analytics Director do?

An Analytics Director leads a team responsible for analyzing data to inform business decisions and strategies. They oversee the collection, interpretation, and communication of data insights across departments, ensuring data-driven decision-making. Their role often includes developing analytics frameworks, managing data teams, setting key performance indicators, and collaborating with leadership to align analytics initiatives with organizational goals. Additionally, Analytics Directors help implement data governance policies and ensure analytics tools and techniques are effectively utilized.

What are some common challenges faced by an Analytics Director and how can they be addressed?

Analytics Directors often encounter challenges such as aligning analytics initiatives with overall business goals, managing and integrating data from multiple sources, and communicating complex findings to non-technical stakeholders. To address these, it's important to foster close collaboration with business leaders, invest in scalable data infrastructure, and develop strong communication skills within the analytics team. Building a culture of data-driven decision-making and continuous learning also helps overcome these obstacles and ensures the analytics function delivers real value.

What is the difference between Analytics Director vs Data Scientist?

AspectAnalytics DirectorData Scientist
Required CredentialsBachelor's or Master's in Business, Analytics, or related fields; often prefers experience over certificationsBachelor's or Master's in Computer Science, Statistics, or related fields; may have certifications like Certified Analytics Professional
Work EnvironmentLeads analytics teams, collaborates with executives, oversees strategyAnalyzes data, builds models, and develops algorithms, often working independently or in small teams
Employer & Industry UsageCommon in corporate, finance, marketing, and consulting firmsFound in tech companies, research institutions, and data-driven industries

The Analytics Director focuses on leading analytics strategies and managing teams, while Data Scientists primarily analyze data and develop models. Both roles require strong analytical skills, but the Director has a broader leadership and strategic focus.

What Does an Analytics Director Do?

An analytics director oversees the data analytics and data warehousing departments at a company. As an analytics director, you take the lead on all data analytics systems and ensure your department aligns with the company’s priorities. You research and develop strategies to improve the analytics of your company. You collaborate with your team along with other members of your company’s senior leadership to influence data capabilities and competencies in the company. Your responsibilities include adopting appropriate tools and software to drive innovation. Other duties include staying informed on the latest industry trends in data analytics.

What job categories do people searching Analytics Director jobs in Springville, UT look for? The top searched job categories for Analytics Director jobs in Springville, UT are:
What cities near Springville, UT are hiring for Analytics Director jobs? Cities near Springville, UT with the most Analytics Director job openings:
Infographic showing various Analytics Director job openings in Springville, UT as of July 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 100% In-person job distribution, with an average salary of $147,053 per year, or $70.7 per hour.

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Company Description
Profitero+ is the leading digital commerce company, trusted by more than 4,000 brands worldwide. We help brands break down silos and turn data into decisive action through intelligence-driven, end-to-end solutions that unify media, content, operations and strategy. Powered by advanced AI, robust digital shelf analytics across 1,400+ retailers in 70 countries and unmatched expertise from digital commerce specialists in 15 global hubs, our integrated solutions help brands accelerate profitable growth. Learn more at profitero.com
Job Description
Profitero's Data Engineering team is looking for a Senior Analytics Engineer to own the transformation layer between our data ingestion pipelines and our business intelligence platform. This is a high-impact, high-ownership role at the center of our data stack - you will define how raw data becomes trusted, business-ready models that power decisions across the organization.
PLEASE NOTE: This is a hybrid role based out of our offices in Lehi, Utah and will require onsite engagement an average of 1-2 days/week. All candidates should be local to or commutable to Lehi (including surrounding locations like Salt Lake City or other south Utah counties) and willing to commit to a hybrid schedule. Highly qualified candidates from other US-based locations who are willing to work a Mountain Time schedule may also be considered and are encouraged to apply.
ALSO NOTE: We are not able to provide sponsorship support for this role now or in the future. No third-party staffing agencies, please.
Responsibilities
  • Own the Transformation Layer
    • Design, build, and maintain dbt models that transform raw source data into clean, well-documented, analytics-ready datasets
    • Define and enforce dbt modeling standards, naming conventions, and testing practices across the team
    • Serve as the primary owner of the transformation layer, creating clear handoffs with upstream ingestion engineers and downstream BI developers
    • Proactively identify gaps in data coverage and work with sourcing teams to resolve them
  • Accelerate Pipeline Delivery
    • Reduce transformation backlogs by building scalable, reusable model patterns that others can extend
    • Partner with Airflow/Dagster pipeline owners to ensure transformation DAGs are reliable, well-monitored, and efficient in BigQuery
    • Identify and resolve performance bottlenecks in SQL transformations and BigQuery query patterns
  • Bridge Engineering and Analytics
    • Collaborate with BI developers and the Director of Business Intelligence to ensure Looker data sources are well-modeled and maintainable
    • Translate business requirements from stakeholders into reliable data models without requiring BI developers to work around messy upstream data
    • Help evolve manual QA processes toward automated dbt testing and data quality monitoring
  • Mentor and Set Standards
    • Mentor junior and mid-level team members on analytics engineering best practices
    • Document data models, lineage, and transformation logic so the team can move faster and onboard new members with confidence
    • Contribute to SQL and business logic standards in collaboration with the Director of Data Engineering

Qualifications
  • 5+ years of professional experience in data engineering, analytics engineering, or a similar role; prior experience working alongside the CPG, retail, and/or marketing industries preferred.
  • Bachelor's degree in computer science, data analytics, information systems, or a related field preferred; experience may be substituted.
  • Expert-level dbt skills including experience building and maintaining production dbt projects at scale including tests, documentation, and incremental models.
  • Strong SQL and data modeling skills, particularly in BigQuery or another columnar cloud data warehouse.
  • Experience working across the full data pipeline from raw ingestion to BI-ready models.
  • Familiarity with ecommerce, CPG, digital shelf, or retail media network data sources and analytics preferred.
  • Experience with Airflow or Dagster for pipeline orchestration and Python for data pipeline tasks preferred.
  • Familiarity with Looker or LookML preferred.
  • Experience and familiarity with data quality frameworks, automated testing, or observability tooling preferred.
  • Comfort operating with a high level of ownership, autonomy, and accountability.
  • A natural sense of urgency with an ability to work quickly, efficiently, and accurately within tight deadlines and constantly-evolving project parameters, scope, and goals.
  • Flexible and adaptable with an ability to work successfully across multiple concurrent projects and competing priorities.
  • Highly collaborative but independently capable.
  • Exceptionally organized with a fanatical attention to detail.
  • Strong written and verbal communication skills, both with technical and non-technical audiences.

Additional Information
The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings include:
Paid Family Care for parents and caregivers for 12 weeks or more
Monetary assistance and support for Adoption, Surrogacy and Fertility
Monetary assistance and support for pet adoption
Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance
Tuition Assistance
Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more
Matching Gifts programs
Flexible working arrangements
'Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility)
Business Resource Groups that support multiple affinities and alliances
The benefits offerings listed are available to eligible U.S. Based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents.
Profitero+ is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
Compensation Range: USD $88,540.00 - USD $121,100.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 8/29/2026.