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Digital Data Analyst Jobs (NOW HIRING)

Senior Data Analyst

Palo Alto, CA · On-site

$101K - $127K/yr

Activehours is looking for a rockstar Senior Data Analyst to join our team in Palo Alto. We're a ... Minimum of 3 years of demonstrable experience in digital data and measurement (live service mobile ...

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The Digital Business Data Analyst is responsible for capturing, analyzing, and visualizing digital channel performance to support Five Guys' marketing and business objectives. This role leads the ...

Ignite Digital has an exciting opportunity for a Data Analyst to support our client engagement within the federal government for the Charleston, SC or Washington, DC area. The ideal candidate is a ...

Ignite Digital is seeking a missiondriven Data Analyst to support a US Navy data analytics, cloud management, and IT modernization program in the Norfolk, VA area. This role directly contributes to ...

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Digital DATA Analyst information

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$127K

How much do digital data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for digital data analyst in the United States is $91,985.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $100,000.00 per year, depending on experience, location, and employer.

What is a digital data analyst?

Digital Data Analysts are professionals who collect, process, and analyze digital data to help organizations make informed business decisions. They work with data from websites, social media, online campaigns, and other digital sources to identify trends, measure performance, and provide actionable insights. Their role often involves using analytics tools, creating reports, and collaborating with marketing and business teams to improve digital strategies.

How does a digital data analyst typically collaborate with marketing and product teams?

A Digital Data Analyst regularly works alongside marketing and product teams to translate raw data into actionable insights. They help identify trends in user behavior, track campaign effectiveness, and suggest optimizations to improve engagement or conversion rates. Collaboration often involves presenting data findings through dashboards or reports, participating in strategy meetings, and guiding A/B testing initiatives. This cross-functional work requires strong communication skills and a solid understanding of both business goals and data analytics tools.

What are the key skills and qualifications needed to thrive as a digital data analyst, and why are they important?

To thrive as a Digital Data Analyst, you need strong analytical skills, a solid grasp of statistics, and typically a degree in a quantitative field such as mathematics, computer science, or economics. Proficiency with data analysis tools like Google Analytics, SQL, Excel, and data visualization platforms such as Tableau or Power BI is essential. Attention to detail, critical thinking, and effective communication set top performers apart by enabling them to interpret and share insights clearly with stakeholders. These skills and qualities are crucial for transforming complex digital data into actionable business strategies and driving informed decision-making.

What is the difference between Digital Data Analyst vs Data Scientist?

AspectDigital Data AnalystData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; advanced certifications often preferred
Work EnvironmentMarketing teams, digital agencies, e-commerce companiesTech firms, research institutions, large enterprises
Employer & Industry UsagePrimarily in digital marketing, advertising, e-commerceBroader across tech, finance, healthcare, and research sectors

The Digital Data Analyst focuses on interpreting digital marketing and online data to optimize campaigns, while the Data Scientist develops complex models and algorithms for broader data analysis. Both roles require strong analytical skills, but Data Scientists typically have more advanced technical expertise and work on more complex projects across various industries.

More about Digital DATA Analyst jobs
What cities are hiring for Digital Data Analyst jobs? Cities with the most Digital Data Analyst job openings:
What states have the most Digital Data Analyst jobs? States with the most job openings for Digital Data Analyst jobs include:
What are popular job titles related to Digital Data Analyst jobs? For Digital Data Analyst jobs, the most frequently searched job titles are:
Infographic showing various Digital Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $91,985 per year, or $44.2 per hour.

Data Owner (Digital Utilities)-Executive Director

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks


Job description

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in the Data team to partner with business teams to provide a comprehensive view of Digital Utilities.

As a Data Owner of Digital Utilities at JP Morgan Chase within the Data & Analytics Team, you will strategize and execute on data initiatives that will help accelerate analytics, improve customer experience and drive meaningful impact towards the firms key strategic priorities while ensuring good data quality and governance. One will be accountable for all data in the Digital Utilities product that is created, provisioned, or consumed to support strategic business objectives, advanced analytics, business operations, and reporting.  As Lead Data Owner you will be collaborating with the Product Owner, design lead, and technology lead to ensure that the product delivers data in a manner consistent with the quality and safety requirements of the business. You'll also partner with aligned Data & Analytics lead to drive increased business value through the identification of data required to support advanced analytics outcomes such as customer segmentation, personalization, and insights.  Data Owners serve as subject matter experts, coordinating between providers and consumers to ensure business data is understood, fit for purpose, and integrated into analytics platforms and are also accountable for identifying and mitigating data risks throughout the data life cycle in compliance with firm-wide policies and standards. 

 Job Responsibilities

  • Define and execute a strategy for the development and delivery of product data to support strategic business objectives, business operations, advanced analytics, and metrics and reporting.
  • Drive a strong understanding of the data and its use within the business and across lines of business and functions, through collaborative partnerships with multiple stakeholders, including Product Owners, analytics leads, and business process owners.  Provide subject matter expertise with respect to the content and use of data in the product and associated business area.
  • Identify and prioritize the scope of critical data within their product, ensuring that the prioritized data is well-documented as to its meaning and purpose, and classified accordingly with metadata to enable its understanding and control
  • Partner with the aligned Data & Analytics lead for their product to drive advance analytics, machine learning and AI initiatives by identifying and enabling the data required for various initiatives 
  • Establish expectations for the required accuracy, completeness, and timeliness of data within the product, and coordinate and influence internal and partnered resources to deliver data quality requirements
  • Prioritize resources to resolve identified data issues in a timely and consistent manner that maintains data consumer trust
  • Direct the development of processes and procedures to identify, monitor, and mitigate data risks for data in the product, including risks related to data protection, data retention and destruction, data storage, data use, and data quality
  • Develop and maintain deep relationships with product data delivery partners and data consumers, including senior leaders in the Business, Technology, Analytics, Operations, Risk and Control functions across lines of business.
  • Effectively drive teams toward a robust set of execution milestones.  Understand and mitigate risks, bottlenecks, and inefficiencies in the product development lifecycle with respect to data and ensure that the execution adheres to firm wide policies, procedures and standards
  • Demonstrate governance by ensuring that: (a) work streams and initiatives are tracked and actively managed, (b) KPI's are agreed, measured and tracked, (c) deliverables are properly prioritized and sequenced, (d) risks are addressed and status measured, and (e) deliveries are successful
  • Manage direct or matrixed staff to execute specific data-related tasks

Required qualifications, capabilities, and skills

  • 8+ years of experience or equivalent expertise delivering products, projects, or data related technology applications 
  • Experience managing delivery across multiple work streams with varying timelines, priorities and complexities.
  • Technical knowledge of data architecture, data management and governance on cloud platforms 
  • Demonstrated ability to manage tight delivery timelines, and ensure our product and organization is on track to execute and deliver strategic changes that meet our goals.
  • Proven ability to execute via successful internal partnerships with other organizations - with the ability to influence people at all levels across a broad variety of job functions.
  • Excellent leadership skills - of product, programs, projects, teams and/or employees.
  • Structured thinker and effective communicator with the ability to crisply articulate complex technical concepts to senior audiences with poise and confidence.
  • Understanding of Agile technological development methodology.

Preferred qualifications, capabilities, and skills

  • Master's degree preferred
  • Knowledge of Machine learning and Gen AI tools and capabilities

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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