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Remote Data Analyst Spanish Jobs in Minnesota (NOW HIRING)

Analyze regulatory data against statutory financial statements, prior regulatory filings, and other relevant sources to identify, reconcile, and resolve discrepancies before submission. * Apply ...

New

$42.25 - $58.25/hr

Job Title Business Solutions Analyst III (Guidewire) - Remote Requisition Number R7695 Business ... Partner with data experts in center of excellence to validate feasibility of proposals. * With ...

Develops and analyzes data related to complex actuarial functions * Evaluates analytical work done ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Lead Business Systems Analyst

Minnetonka, MN · On-site +1

$70K - $140K/yr

... Data Analyst, or related work. * 2+ years of experience building data queries (preferred SQL ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Lead Business Systems Analyst

Minneota, MN · On-site +1

$70K - $140K/yr

... Data Analyst, or related work. * 2+ years of experience building data queries (preferred SQL ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

... a remote position. In this role, you will have the opportunity to: * Partner with Operating ... Data skills: SQL/Python, Power BI, API experience (software systems connectivity and exchange of ...

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the Vision: Own the strategy and execution of the Data, Analytics and AI Practice. * Build the Practice:

Data Engineer

Minnetonka, MN · On-site +1

$63K - $124K/yr

Analyze and review existing or proposed data sources, controls, security, scalability and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Data Engineer

Minnetonka, MN · On-site +1

$63K - $124K/yr

Analyze and review existing or proposed data sources, controls, security, scalability and ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

New

Showing results 21-40

Remote Data Analyst Spanish information

What does a remote data analyst Spanish do?

A Remote Data Analyst Spanish is responsible for collecting, analyzing, and interpreting data for organizations, with a particular focus on Spanish-language data sets or clients. They use statistical tools and data visualization techniques to identify trends and provide actionable insights. Working remotely, they collaborate with teams to support business decisions, create reports, and ensure data accuracy, often leveraging their Spanish language skills for communication and analysis.

What is the difference between Remote Data Analyst Spanish vs Remote Data Analyst French?

AspectRemote Data Analyst SpanishRemote Data Analyst French
Required credentialsBachelor's in Data Science, Statistics, or related field; proficiency in Spanish; basic data analysis toolsBachelor's in Data Science, Statistics, or related field; proficiency in French; basic data analysis tools
Work environmentRemote, often with international companies serving Spanish-speaking marketsRemote, often with international companies serving French-speaking markets
Employer usageCompanies targeting Spanish-speaking clients or marketsCompanies targeting French-speaking clients or markets
Search intentLooking for Spanish-language data analysis rolesLooking for French-language data analysis roles

The main difference between Remote Data Analyst Spanish and Remote Data Analyst French lies in language proficiency and target markets. Both roles require similar technical skills and certifications but focus on serving different language-speaking audiences, making them distinct in language requirements and regional client base.

How does being a remote data analyst Spanish impact collaboration with international teams?

As a Remote Data Analyst Spanish, you will frequently collaborate with colleagues across different countries and time zones, often acting as a language and cultural bridge. This requires strong communication skills, flexibility in scheduling virtual meetings, and the ability to work independently while staying connected with the team. You'll likely use collaborative tools like Slack, Zoom, and shared dashboards to coordinate projects, provide data insights, and ensure that Spanish-language data sets are accurately interpreted and reported. Successfully navigating these dynamics can open up further opportunities for advancement within international analytics teams.

What are the key skills and qualifications needed to thrive as a remote data analyst Spanish?

To thrive as a Remote Data Analyst (Spanish), you need strong analytical and statistical skills, proficiency in data visualization, and fluency in both Spanish and English, typically supported by a degree in data science, statistics, or a related field. Familiarity with technical tools such as SQL, Python or R, and platforms like Tableau or Power BI is often required, along with experience using remote collaboration systems. Exceptional attention to detail, problem-solving abilities, and effective communication—especially cross-culturally—are valuable soft skills for this role. These qualifications enable accurate data-driven insights and seamless teamwork across diverse, often international, environments.
What job categories do people searching Remote Data Analyst Spanish jobs in Minnesota look for? The top searched job categories for Remote Data Analyst Spanish jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Analyst Spanish jobs? Cities in Minnesota with the most Remote Data Analyst Spanish job openings:

Lead Data Engineer - Enterprise Data & Analytics - Remote

Mayo Clinic

Rochester, MN • On-site, Remote

$116K - $139K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 696 frontline employees who took The Breakroom Quiz

132nd of 887 rated healthcare providers


Job description

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.

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.
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.

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

Get the full story on Breakroom


Mayo Clinic logo

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