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Senior Analytics Engineer Jobs in Utah (NOW HIRING)

The SVP, Consumer Bank Analytics is responsible for leading the analytics data strategy and insight ... Partner with Technology, Data Engineering, and Enterprise Data teams to improve data accessibility ...

Senior Data Analyst - Remote

Draper, UT ยท On-site +1

$80K - $101K/yr

... feature engineering, model evaluation, and performance monitoring in a financial or risk analytics context * Experience supporting senior leadership with executive-level reporting and insights

Senior Data Analyst - Remote

Draper, UT ยท On-site +1

$80K - $101K/yr

... feature engineering, model evaluation, and performance monitoring in a financial or risk analytics context * Experience supporting senior leadership with executive-level reporting and insights

... Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on ... You will work on developing predictive models, conducting statistical analysis, and creating data ...

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 ...

Senior Data Engineer

Midvale, UT ยท On-site

$100K - $135K/yr

We are looking for a highly versatile and hands-on Senior Data Engineer to help design, build, and ... Enable conversational access to data so business users and analysts can explore datasets, ask ...

Engineer (Senior/Principal) location: SALT LAKE CITY, UT, US, 84116 Company: PacifiCorp POWER YOUR ... Lead equipment failure investigations and root cause analyses. * Develop technical recommendations ...

Engineer (Senior/Principal)

Salt Lake City, UT ยท On-site

$120K - $166K/yr

Lead equipment failure investigations and root cause analyses. * Develop technical recommendations ... Mentor senior engineering personnel and contribute to development of engineering best practices.

Engineer (Senior/Principal)

Salt Lake City, UT ยท On-site

$120K - $166K/yr

Lead equipment failure investigations and root cause analyses. * Develop technical recommendations ... Mentor senior engineering personnel and contribute to development of engineering best practices.

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Showing results 1-20

Senior Analytics Engineer information

See Utah salary details

$54.2K

$115.2K

$167.1K

How much do senior analytics engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for senior analytics engineer in Utah is $115,214.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $130,600.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Analytics Engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and tools like Python or Spark, and working in high-demand industries or companies. Compensation varies based on location, company size, and individual expertise, often including bonuses and stock options.

What is a Senior Analytics Engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

What does a senior analytics engineer do?

A senior analytics engineer designs, develops, and maintains data pipelines and analytics solutions to support business decision-making. They work with large datasets, use tools like SQL, Python, or cloud platforms, and often collaborate with data scientists and business teams to ensure data accuracy and accessibility.

How much do senior analytics engineers make?

Senior analytics engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in data modeling, SQL, and analytics tools like Tableau or Looker, which can influence salary levels.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Senior Analytics Engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

What engineer makes $500,000 a year?

Senior Analytics Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and cloud platforms, and roles in high-paying industries or companies. Such compensation often includes base salary, bonuses, and stock options, typically in senior or executive-level positions.

How does a Senior Analytics Engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
What are the most commonly searched types of Analytics Engineer jobs in Utah? The most popular types of Analytics Engineer jobs in Utah are:
What cities in Utah are hiring for Senior Analytics Engineer jobs? Cities in Utah with the most Senior Analytics Engineer job openings:
SVP, Consumer Bank Analytics

SVP, Consumer Bank Analytics

Synchrony

Draper, UT โ€ข On-site

Full-time

Posted 6 days ago


Job description

Role Summary/Purpose:

The SVP, Consumer Bank Analytics is responsible for leading the analytics data strategy and insight generation across the Consumer Bank. This role serves as a strategic partner to Finance & Treasury, Marketing & Customer Experience, Product, Operations and Technology, transforming customer, portfolio, pricing, digital, and market intelligence data into actionable strategies that drive growth, retention and customer experience.

The role oversees the end-to-end analytics ecosystem supporting the Consumer Bank, including customer acquisition, engagement, retention, portfolio growth, pricing strategy, customer journey analytics, product performance, data governance and enterprise data enablement initiatives. The position is accountable for developing fact-based narratives that influence business decisions, identifying growth opportunities through internal and external data assets, and ensuring the data foundation exists to support personalization, advanced analytics, regulatory reporting, and future AI capabilities.

This leader is expected to balance strategic leadership with analytical rigor, translating complex data into clear business recommendations while driving cross-functional alignment, operational excellence, and measurable business outcomes.

Essential Responsibilities:

Consumer Bank Strategy & Executive Decision Support

  • Serve as the senior analytics advisor to Consumer Bank leadership, providing insights and recommendations that inform strategic decisions across growth, retention, customer experience, pricing, portfolio management, and business performance.

  • Develop executive-level narratives that connect customer behavior, market dynamics, product performance, and financial outcomes.

  • Identify and quantify growth opportunities, business risks, and emerging customer trends through data-driven analysis.

  • Establish key performance indicators and measurement frameworks that align analytics efforts to business objectives.

  • Lead opportunity sizing, business case development, and performance measurement efforts that support strategic investment decisions and prioritization.

Marketing, Customer Experience & Customer Analytics

  • Lead customer segmentation, behavioral, and engagement analytics to improve acquisition, onboarding, retention, and relationship growth.

  • Advance attribution, customer-level measurement, and channel performance analytics capabilities to improve marketing investment decisions.

  • Lead lifecycle analytics and customer engagement strategy, including always-on lifecycle programs, behavioral targeting, contact strategy optimization, personalization measurement, and performance evaluation of customer engagement initiatives.

  • Analyze customer funding behavior, balance trends, product adoption patterns, engagement signals, and attrition risk to support customer growth and retention initiatives.

Finance, Treasury & Pricing Analytics

  • Lead analytics supporting deposit pricing strategy, portfolio mix management, balance growth objectives, and overall Consumer Bank performance.

  • Partner with Finance and Treasury teams to evaluate pricing actions, customer response, portfolio performance and funding objectives.

  • Leverage internal customer data and external market intelligence to identify growth opportunities, optimize portfolio mix, evaluate pricing strategies, and improve share-of-wallet outcomes.

Data Strategy & Analytics Enablement

  • Own the Consumer Bank analytics and data enablement roadmap, ensuring business priorities are supported by scalable data assets, measurement capabilities, and reporting solutions.

  • Lead customer journey analytics and journey measurement initiatives, partnering across business and technology teams to define data requirements, improve journey visibility, and identify opportunities to enhance customer experiences and business outcomes.

    • Manage relationships with external data and analytics partners supporting customer intelligence, wallet measurement, competitive benchmarking, market intelligence, optimization, and performance analytics.

    • Partner with Technology, Data Engineering, and Enterprise Data teams to improve data accessibility, scalability, quality, governance, and readiness for advanced analytics, personalization, and AI-driven use cases.

Operations Analytics & Business Controls

  • Partner with Operations leaders to analyze customer servicing interactions, call center performance, transaction activity, operational trends, and service outcomes to identify opportunities for improvement.

  • Support operational risk management and control activities through analytical monitoring, reporting, and business performance measurement.

  • Partner with Fraud Operations, Business Controls, and operational support teams to develop reporting, analytical capabilities, and monitoring processes that strengthen operational effectiveness and control execution.

Data Governance, Controls & Regulatory Support

  • Oversee compliance with governance requirements for both standard repeatable processes and ad hoc analytical requests, ensuring appropriate documentation, validation, approvals, and audit readiness across Consumer Bank analytics deliverables.

  • Partner with Compliance, Risk, Finance, and Regulatory Reporting teams to support reporting requirements and ensure adherence to applicable regulatory and governance standards.

  • Coordinate responses to internal audits, external audits, model reviews, surveillance activities, and other governance-related examinations.

Leadership & Talent Development

  • Establish priorities, operating rhythms, and governance processes that ensure high-quality delivery and measurable business impact.

  • Foster a culture of analytical excellence, innovation, accountability, collaboration, and continuous improvement.

  • Influence and align stakeholders across Marketing, Customer Experience, Finance, Treasury, Product, Operations, Technology, Risk, and Executive Leadership.

  • Build organizational analytics capabilities through coaching, mentoring and talent development.

  • Perform other duties and/or special projects as assigned

Qualifications/Requirements:

  • Bachelor's degree OR in lieu of degree, 13+ years of experience in business analytics and/or advanced analytics role as described below.

  • 10+ years of progressive analytics work experience including:

    • 10+ years of data analytics experience including 5+ years of leadership experience

    • 5+ years of analytic experience with a focus in financial services, digital marketing or consulting area, ideally within consumer banking

    • 5+ years of client facing experience

    • 5+ years of project management skills and experience

    • 3 + years developing and implementing analytics strategy and road maps to support business growth and road mapping

  • Ability and flexibility to travel for business as required

Desired Characteristics:

  • Advanced degree/MBA preferred

  • Financial Services, Retail, ecommerce or advanced marketing analytics Industry experience

  • Excellent people leadership skills and a proven track record of developing high potential talent and delivering results

  • Strategic thinker with strong judgment and business sense; ability to influence at the highest levels of organizations

  • Knowledge of external Regulatory and Compliance Requirements

  • Strong executive presence and communication skills; abilities to influence through clear and impactful verbal and written presentations.

  • Excellent change management skills; proven ability to define an analytics organizational structure that meets the needs of internal and external stakeholders

  • Self-starter, high motivation and ability to work well independently as well as motivate and energize teams

Grade/Level: 15

The salary range for this position is 200,000.00 - 330,000.00 USD Annual. This position is also eligible for an Annual Incentive Plan target of 25% of salary and an Annual Equity target of 25% of salary.

Actual compensation offered within the posted salary range will be based upon work experience, skill level or knowledge.

Salaries are adjusted according to market in CA, NY Metro and Seattle.

Our Way of Working:

We're proud to offer you flexibility. At Synchrony, our way of working allows you to have the option to work from home near one of our Hubs or come into one of our offices.You will be required to commute to your nearestHub (either virtual or physical) for in-person engagement activities such as regularbusiness or team meetings, training and culture events.

*Field Sales and some Commercial team roles may have varied location requirements based upon partner obligations or preferences.

Eligibility Requirements:

  • You must be 18 years or older

  • You must have a high school diploma or equivalent

  • You must be willing to take a drug test, submit to a background investigation and submit fingerprints as part of the onboarding process

  • You must be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act.

  • New hires (Level 4-7) must have 9 months of continuous service with the company before they are eligible to post on other roles. Once this new hire time in position requirement is met, the associate will have a minimum 6 months' time in position before they can post for future non-exempt roles. Employees, level 8 or greater, must have at least 18 months' time in position before they can post. All internal employees must consistently meet performance expectations and have approval from your manager to post (or the approval of your manager and HR if you don't meet the time in position or performance expectations).

Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

Our Commitment:

When you join us, you'll be part of an inclusive culture where your individual skills, experience, and voice are not only heard - but valued. Together, we're building a future where we can all belong, connect, and turn ideals into action. More than 50% of our workforce is engaged in our Employee Resource Groups (ERGs), where community and passion intersect to offer a safe space to learn and grow.

This starts when you choose to apply for a role at Synchrony. We ensure all qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status. We're proud to have an award-winning culture for all.

Reasonable Accommodation Notice:

  • Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

  • If you need special accommodations, please call our Career Support Line so that we can discuss your specific situation. We can be reached at 1-866-301-5627. Representatives are available from 8am - 5pm Monday to Friday, Central Standard Time

Job Family Group:

Data Analytics