1

Professional Data Jobs in Minnesota (NOW HIRING)

... professional Data Science/ML experience. * Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field. * Strong Python/R/SAS and SQL skills. * Experience with ...

Data Strategy-Manager

Minneapolis, MN ยท On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit ...

Data Engineer

Minneapolis, MN ยท On-site

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We ... Prior consulting or professional services experience is a bonus * Education degree or certification ...

Data Engineer

Minneapolis, MN ยท On-site +1

$120K - $140K/yr

We are adding Data Engineers to influence the direction of data modernization for our customers. We ... Prior consulting or professional services experience is a bonus * Education degree or certification ...

Sr. Data Engineer

Wayzata, MN ยท On-site

$116K - $139K/yr

The Senior Professional, Data Engineering job designs, builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision, this job ensures that large sets of ...

Sr. Data Engineer

Wayzata, MN ยท On-site

$116K - $139K/yr

The Senior Professional, Data Engineering job designs, builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision, this job ensures that large sets of ...

Sr. Data Engineer

Wayzata, MN ยท On-site

$116K - $139K/yr

The Senior Professional, Data Engineering job designs, builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision, this job ensures that large sets of ...

Data Analysis Tutor

Saint Paul, MN ยท Remote

$18 - $40/hr

... professional data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts ... students commonly struggle with, explain material using multiple approaches, and adapt instruction ...

Data Analysis Tutor

Edina, MN ยท Remote

$18 - $40/hr

... professional data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts ... students commonly struggle with, explain material using multiple approaches, and adapt instruction ...

Data Analysis Tutor

Minneapolis, MN ยท Remote

$18 - $40/hr

... professional data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts ... students commonly struggle with, explain material using multiple approaches, and adapt instruction ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and ...

next page

Showing results 1-20

Professional Data information

What is a professional data analyst?

A Professional Data Analyst is a specialist who collects, processes, and interprets large sets of data to help organizations make informed decisions. They use statistical techniques, data visualization tools, and analytical software to identify trends, solve problems, and provide actionable insights. Data analysts often work closely with business teams to ensure that data-driven strategies align with organizational goals. Their role requires strong analytical skills, attention to detail, and proficiency in programming languages such as SQL, Python, or R.

What are the key skills and qualifications needed to thrive as a data professional?

To thrive as a Data Professional, you need strong analytical skills, a solid understanding of statistics, and proficiency in data management, generally supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages like Python or R, experience with SQL databases, and knowledge of data visualization tools such as Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this role. These skills are essential for transforming raw data into actionable insights that drive business decisions and strategies.

What are the most common challenges faced by professionals working in data roles, and how can they be addressed?

Professionals in data roles often encounter challenges such as managing large and complex datasets, ensuring data quality, and keeping up with rapidly evolving tools and technologies. Collaboration with cross-functional teams can also present difficulties, especially when translating technical findings into actionable business insights. Addressing these challenges typically involves ongoing learning, clear communication with stakeholders, and implementing effective data governance practices to maintain accuracy and security. Building strong relationships with colleagues in IT, analytics, and business units is also crucial for success.

What is the difference between Professional Data vs Data Analyst?

AspectProfessional DataData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; often certifications in data managementBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL often preferred
Work EnvironmentCorporate offices, data centers, or remote settings; involved in data management and strategyOffice environments; focused on data analysis, reporting, and visualization
Employer & Industry UsageUsed across industries like finance, healthcare, and tech for data governance and strategyCommonly employed in business intelligence, marketing, and finance for data interpretation

Professional Data roles focus on managing, organizing, and ensuring data quality, often requiring broader data management skills. Data Analysts primarily interpret data, create reports, and support decision-making through analysis. While both roles work with data, their core responsibilities and skill sets differ, making each essential in different stages of data utilization.

What does a professional data do?

A professional data role involves collecting, analyzing, and interpreting data to support decision-making within an organization. They often use tools like SQL, Excel, or data visualization software and require strong analytical skills and attention to detail. Their work helps improve business processes, identify trends, and inform strategic planning.

What are the most commonly searched types of Data jobs in Minnesota?

The most popular types of Data jobs in Minnesota are:

What cities in Minnesota are hiring for Professional Data jobs?

Cities in Minnesota with the most Professional Data job openings:

Data Analysis Manager - ES Risk Analytics

Socket.dev

Virginia, MN โ€ข On-site

$150 - $205/hr

Other

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Data Analysis Manager - ES Risk Analytics

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

What youโ€™ll do:
  • Drive current and future strategy by leveraging your analytical skills
  • Assist with building and using models to test and validate data
  • Work with vast amounts of data in new and evolving environments
  • Be a part of growing and developing our brand in new and emerging markets
  • Leverage analytics to create a customer experience above our peers
  • Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
  • Be a part of the full life cycle of projects and see end results
  • Collaborate across business units
  • Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
  • Experience real work life balance, with little travel involved
On any given day you will be:
  • Mining data to arrive at specific and crucial information for the organization
  • Identifying and implementing process, data, and reporting improvements for the organization
  • Working with large and complex databases containing millions to billions of records
  • Improving operational efficiencies and effectiveness
  • Conducting analysis to evaluate processes and tests
  • Extracting and analyzing data to gauge product offerings
  • Consulting on the design and implementation of new production and data storage systems
  • Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.

Basic Qualifications:

  • Currently has, or is in the process of obtaining a:
  • Bachelorโ€™s Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or
  • Masterโ€™s Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
  • At least 4 years of experience performing professional data analysis work
  • At least 4 years of experience performing programming

Preferred Qualifications:

  • Masterโ€™s Degree in a Science, Technology, Engineering, Mathematics discipline
  • At least 7 years of professional data analysis work experience
  • At least 4 years of experience with Python, R, Spark or SQL
  • At least 2 years of experience in people management
  • At least 1 year of experience with an Infrastructure as Code (IaC) tool, such as Terraform or AWS CloudFormation
  • At least 1 years of project management experience
  • At least 1 year of experience in Tableau
  • Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

McLean, VA: $164,800 - $188,100 for Data Analysis Manager

Richmond, VA: $149,800 - $171,000 for Data Analysis Manager

New York, NY: $179,700 - $205,100 for Data Analysis Manager

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidateโ€™s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Cityโ€™s Fair Chance Act; Philadelphiaโ€™s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

#J-18808-Ljbffr