1

Data Strategy Jobs in Utah (NOW HIRING)

This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such ...

This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such ...

This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such ...

This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such ...

This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such ...

This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such ...

This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such ...

This role ensures a coordinated, data driven, and outcome focused approach to fraud mitigation ... Translate strategy into clear, outcome-driven plans with measurable milestones and expedited ...

next page

Showing results 1-20

Data Strategy information

How much do data strategists make?

Data strategists typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data management and analytics can earn higher salaries, often exceeding $150,000.

Is 40 too late for data science?

Data strategy professionals and data scientists can enter the field at any age, as skills such as programming, statistics, and domain knowledge are more important than age. Many successful data professionals start or transition into the field later in life, often leveraging prior experience and continuous learning through online courses and certifications. Age is generally not a barrier to developing a career in data science or related roles.

What is a Data Strategy job?

A Data Strategy job focuses on defining and implementing an organization's approach to data management, governance, and utilization. Professionals in this role ensure that data is aligned with business goals, enabling better decision-making and competitive advantage. They work on data policies, frameworks, and analytics strategies while collaborating with stakeholders across IT, business, and data teams. The role often involves assessing data quality, strategic planning for data infrastructure, and identifying opportunities for data-driven innovation.

What is the highest paying data job?

The highest paying data jobs typically include Chief Data Officer, Data Science Director, and Data Engineering Manager roles, which can earn six-figure salaries or higher depending on experience, industry, and location. These positions often require advanced skills in data management, analytics, and leadership, along with relevant certifications or degrees. Compensation varies widely but senior-level roles in large organizations tend to offer the highest salaries in the data field.

What are some typical projects or initiatives a Data Strategy professional works on?

Data Strategy professionals often lead projects related to developing enterprise data roadmaps, improving data quality standards, implementing data governance frameworks, and aligning analytics initiatives with business objectives. They may be involved in launching new data platforms, advising on data privacy compliance, or collaborating on cross-functional teams to ensure data is effectively leveraged for decision-making. The role usually requires partnering with IT, analytics, and business units to coordinate efforts and ensure alignment with organizational priorities.

What does a data strategist do?

A data strategist develops and implements plans to collect, analyze, and utilize data to support business goals. They identify data needs, establish data governance standards, and work with teams to ensure data-driven decision-making using tools like analytics platforms and data management systems.

What are the key skills and qualifications needed to thrive in the Data Strategy position, and why are they important?

To thrive in Data Strategy, you need strong analytical skills, business acumen, experience with data governance, and typically a degree in data science, analytics, or a related field. Familiarity with tools such as SQL, BI platforms (like Tableau or Power BI), and data management systems, along with certifications such as CDMP or DAMA, are often required. Excellent communication, stakeholder management, and problem-solving skills set top professionals apart in this domain. These abilities are vital for bridging technical and business teams to drive actionable strategies and maximize data-driven value for organizations.

What are the most commonly searched types of Data Strategy jobs in Utah? The most popular types of Data Strategy jobs in Utah are:
What are popular job titles related to Data Strategy jobs in Utah? For Data Strategy jobs in Utah, the most frequently searched job titles are:
Infographic showing various Data Strategy job openings in Utah as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Marketing Operations Analyst

Marketing Operations Analyst

FocusKPI

Logan, UT

Full-time

Posted 10 days ago


Job description

FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company.

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you’ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack.

Responsibilities:

  • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns.
  • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility.
  • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA.
  • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.
  • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour.
  • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes.

Requirements:

  • Bachelor’s degree in Data Science, Computer Science, or a related field
  • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment
  • Proficiency in SQL for data manipulation and analysis. Comfortable with Python.
  • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights.
  • Exceptional attention to detail and a commitment to maintaining high data quality standards.
  • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes

No C2C resumes are considered


FocusKPI logo

About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010