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Senior Disney Data Analyst Jobs in Rochester, MN

Mayo Clinic

Senior Business Analyst - Legal

Rochester, MN · On-site

$94K - $121K/yr

Performs data analysis, defines and documents business requirements, supports translation to functional specifications early in the development cycle, and concludes with design synthesis and system ...

Mayo Clinic

Senior Business Analyst - Legal

Rochester, MN · On-site

$90K - $116K/yr

Performs data analysis, defines and documents business requirements, supports translation to functional specifications early in the development cycle, and concludes with design synthesis and system ...

Mayo Clinic

Senior Business Analyst - Legal

Rochester, MN · On-site

$90K - $116K/yr

Performs data analysis, defines and documents business requirements, supports translation to functional specifications early in the development cycle, and concludes with design synthesis and system ...

Cornerstone Research

Analyst

Rochester, MN · On-site

$112K/yr

You will have opportunities to interact with senior consultants, academic and industry experts ... We prefer students who have completed at least one internship in business, economics, data analysis ...

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Senior Disney Data Analyst information

See Rochester, MN salary details

$55.9K

$100.9K

$137.7K

How much do senior disney data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior disney data analyst in Rochester, MN is $100,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,400.00 and $110,300.00 per year, depending on experience, location, and employer.

What does a Senior Disney Data Analyst do?

A Senior Disney Data Analyst is responsible for collecting, analyzing, and interpreting large sets of data to support business decisions across Disney's diverse operations, such as theme parks, media networks, and consumer products. They use statistical techniques and data visualization tools to identify trends, measure performance, and provide actionable insights to leadership. This role often involves collaborating with various teams, preparing reports, and developing data-driven strategies to enhance customer experiences and optimize business outcomes.

What are the key skills and qualifications needed to thrive as a Senior Disney Data Analyst?

To thrive as a Senior Disney Data Analyst, you need advanced analytical skills, a strong background in statistics, and a relevant degree in data science, computer science, or a related field. Expertise with data visualization tools (such as Tableau), SQL, and programming languages like Python or R, as well as experience with big data platforms, is typically required. Exceptional communication, critical thinking, and the ability to translate complex data insights into actionable recommendations help set top analysts apart. These skills are crucial for driving data-informed decisions that support Disney’s strategic goals and enhance business performance.

How does a Senior Disney Data Analyst typically collaborate with creative and business teams to drive data-informed decisions?

As a Senior Disney Data Analyst, you will frequently work cross-functionally with creative, marketing, and business strategy teams to translate complex data insights into actionable recommendations. This role often involves presenting findings to non-technical stakeholders, participating in brainstorming sessions, and aligning data analysis with business objectives such as audience engagement or content performance. Effective communication and the ability to tailor your analysis for diverse audiences are crucial, as your insights directly influence strategic decisions and project outcomes across multiple departments.

What is the difference between Senior Disney Data Analyst vs Disney Data Analyst?

AspectSenior Disney Data AnalystDisney Data Analyst
Required CredentialsBachelor's degree, experience in data analysis, possibly certifications like SQL or TableauBachelor's degree, entry-level data analysis skills, familiarity with data tools
Work EnvironmentCollaborative teams within Disney, focus on complex data projectsSupportive environment, handling routine data tasks and reporting
Employer & Industry UsageDisney entertainment and media industry, corporate analytics teamsDisney entertainment sector, marketing, and operational teams

The main difference between a Senior Disney Data Analyst and a Disney Data Analyst lies in experience level, project complexity, and responsibilities. Senior analysts typically handle more complex data projects, provide mentorship, and have greater decision-making authority, while Disney Data Analysts focus on routine data collection, reporting, and supporting analysis tasks.

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Senior Disney Data Analyst jobs near you

Lead Data Engineer - Enterprise Data & Analytics - Remote

Mayo Clinic

Rochester, MN

$111K - $134K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 9 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 707 frontline employees who took The Breakroom Quiz

137th of 898 rated healthcare providers

Job description

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

Responsibilities

Lead data design, prototype, and development of data pipeline architecture pipelines. Lead implementation of internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. Lead cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions. Excellent analytic skills associated with working on unstructured datasets. Understand the architecture, be a team player, lead technical discussions and communicate the technical discussion. Be a senior Individual contributor of the Data or Software Engineering teams. Be part of Technical Review Board along with Manager and Principal Engineer. Be a technical liaison between Manager, Software Engineers and Principal Engineers. Collaborate with software engineers to analyze, develop and test functional requirements. Serve as a hands-on technical leader who actively designs, develops, reviews, and optimizes production-grade data pipelines, data products, and platform capabilities. Maintain significant contribution to production codebases while establishing engineering standards, mentoring team members, and driving delivery of scalable, resilient solutions. Mentor and Coach Engineers. Work with team members to investigate design approaches, prototype new technology and evaluate technical feasibility. Work in an Agile/Safe/Scrum environment to deliver high quality software. Establish architectural principles, select design patterns, and then mentor team members on their appropriate application. Facilitate and drive communication between front-end, back-end, data and platform engineers. Play a formal Engineering lead role in the area of expertise. Keep up-to-date with industry trends and developments.


Key Responsibilities:
These positions are hands-on engineering roles. In this role, employees are expected to actively design, develop, review, and optimize production code and platform capabilities while providing technical leadership and mentorship to engineering teams.


Qualifications

Bachelor's Degree in Computer Science/Engineering or related field with 6 years of experience OR an Associate's degree in Computer Science/Engineering or related field with 8 years of experience. Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including coding standards, code reviews, source control management, build processes, testing, and operations. Have in-depth knowledge of data engineering and building data pipelines with a minimum of 5 years of experience in data engineering, data science or analytical modeling and basic knowledge of related disciplines. Worked and lead Data Engineering teams in Continuous Integration / Continuous Delivery model. Build/Lead Data products highly resilient in nature. Build/Lead Test Automation suites, Unit Testing coverage, Data Quality, Monitoring & Observability. A minimum experience of 5 years using relational databases and NoSQL Databases. Experience with cloud platforms such as GCP, Azure, AWS.
Continuous Integration using Jenkins, Git Hub Actions or Azure Pipelines. Experience with cloud technologies, development and deployment. Experience with tools like Jira, GitHub, SharePoint, Azure Boards. Experience using advanced data processing solutions/capabilities such as Apache Spark, Hive, Airflow and Kafka, GCP Dataflow. Experience using big data, statistics and knowledge of data related aspects of machine learning. Experience with Google BigQuery, FHIR APIs, and Vertex AI. Knowledge of how workflow scheduling solutions such as Apache Airflow and Google Composer related to data systems. Knowledge of using Infrastructure as code (Kubernetes, Docker) in a cloud environment.

The preferred candidate will possess:

  • Advanced proficiency in Python and SQL with demonstrated experience building and supporting production-grade solutions.
  • Advanced experience designing and implementing scalable distributed computing solutions using technologies such as Spark, Flink, Ray, or comparable frameworks.
  • Deep understanding of cloud-agnostic architecture principles and modern data platform design.
  • Advanced experience with open data architecture technologies including Apache Iceberg, Delta Lake, and Apache Hudi.
  • Strong expertise with modern analytical data formats including Parquet, Avro, and ORC.
  • Experience designing data platforms that support analytics, AI/ML, and operational workloads at enterprise scale.
  • Experience implementing CI/CD, automated testing, Infrastructure-as-Code, observability, and engineering best practices.
  • Experience designing systems for scalability, reliability, security, resiliency, and long-term maintainability.

Exemption Status
Exempt
Compensation Detail
$148,137.60 - $214,760.00/ year. Education, experience and tenure may be considered along with internal equity when job offers are extended.
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
M-F daytime hours 100% remote role, the employee needs to live within the US.
Weekend Schedule
As business needs dictate
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'.  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Recruiter
Laura PercivalQualifications:

Bachelor's Degree in Computer Science/Engineering or related field with 6 years of experience OR an Associate's degree in Computer Science/Engineering or related field with 8 years of experience. Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including coding standards, code reviews, source control management, build processes, testing, and operations. Have in-depth knowledge of data engineering and building data pipelines with a minimum of 5 years of experience in data engineering, data science or analytical modeling and basic knowledge of related disciplines. Worked and lead Data Engineering teams in Continuous Integration / Continuous Delivery model. Build/Lead Data products highly resilient in nature. Build/Lead Test Automation suites, Unit Testing coverage, Data Quality, Monitoring & Observability. A minimum experience of 5 years using relational databases and NoSQL Databases. Experience with cloud platforms such as GCP, Azure, AWS.
Continuous Integration using Jenkins, Git Hub Actions or Azure Pipelines. Experience with cloud technologies, development and deployment. Experience with tools like Jira, GitHub, SharePoint, Azure Boards. Experience using advanced data processing solutions/capabilities such as Apache Spark, Hive, Airflow and Kafka, GCP Dataflow. Experience using big data, statistics and knowledge of data related aspects of machine learning. Experience with Google BigQuery, FHIR APIs, and Vertex AI. Knowledge of how workflow scheduling solutions such as Apache Airflow and Google Composer related to data systems. Knowledge of using Infrastructure as code (Kubernetes, Docker) in a cloud environment.

The preferred candidate will possess:

  • Advanced proficiency in Python and SQL with demonstrated experience building and supporting production-grade solutions.
  • Advanced experience designing and implementing scalable distributed computing solutions using technologies such as Spark, Flink, Ray, or comparable frameworks.
  • Deep understanding of cloud-agnostic architecture principles and modern data platform design.
  • Advanced experience with open data architecture technologies including Apache Iceberg, Delta Lake, and Apache Hudi.
  • Strong expertise with modern analytical data formats including Parquet, Avro, and ORC.
  • Experience designing data platforms that support analytics, AI/ML, and operational workloads at enterprise scale.
  • Experience implementing CI/CD, automated testing, Infrastructure-as-Code, observability, and engineering best practices.
  • Experience designing systems for scalability, reliability, security, resiliency, and long-term maintainability.

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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