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Senior Data Associate Jobs in Minnesota (NOW HIRING)

Payroll - Senior Associate

Edina, MN · Hybrid

$29.50 - $36.50/hr

Enter and manage client payroll data accurately and on time, including: hires/terminations, wage ... input Ideal Senior Associate candidate has: * Associate's degree in accounting, business, or ...

Payroll - Senior Associate

Edina, MN · On-site

$29.50 - $36.50/hr

Enter and manage client payroll data accurately and on time, including: hires/terminations, wage ... input Ideal Senior Associate candidate has: * Associate's degree in accounting, business, or ...

Payroll - Senior Associate

Edina, MN · On-site

$29.50 - $36.50/hr

Enter and manage client payroll data accurately and on time, including: hires/terminations, wage ... input Ideal Senior Associate candidate has: * Associate's degree in accounting, business, or ...

Payroll - Senior Associate

Mankato, MN · On-site

$29.50 - $36.50/hr

Enter and manage client payroll data accurately and on time, including: hires/terminations, wage ... input Ideal Senior Associate candidate has: * Associate's degree in accounting, business, or ...

Payroll - Senior Associate

Mankato, MN · Hybrid

$29.50 - $36.50/hr

Enter and manage client payroll data accurately and on time, including: hires/terminations, wage ... input Ideal Senior Associate candidate has: * Associate's degree in accounting, business, or ...

Enter and manage client payroll data accurately and on time, including: hires/terminations, wage ... Senior Associate candidate has: * Associates degree in accounting, business, or related field and ...

Enter and manage client payroll data accurately and on time, including: hires/terminations, wage ... Senior Associate candidate has: * Associates degree in accounting, business, or related field and ...

Payroll - Senior Associate

Mankato, MN · On-site

$29.50 - $36.50/hr

Enter and manage client payroll data accurately and on time, including: hires/terminations, wage ... input Ideal Senior Associate candidate has: * Associate's degree in accounting, business, or ...

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Senior Data Associate information

What jobs pay 200,000 a year in the USA?

Senior Data Associates typically do not earn $200,000 annually; however, senior roles in data science, analytics, or engineering with advanced skills, certifications, and experience can reach or exceed this salary level. High-paying roles often require expertise in programming, statistical analysis, and familiarity with tools like SQL, Python, or cloud platforms, along with leadership responsibilities or specialized knowledge.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $100,000 to $130,000 annually, depending on factors such as industry, location, experience, and company size. In some regions and specialized sectors, salaries may exceed this range, especially for those with advanced skills in data visualization, SQL, and statistical analysis.

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

AspectSenior Data AssociateData Analyst
Required CredentialsBachelor's degree in data-related field; experience in data managementBachelor's degree in statistics, data science, or related field; analytical skills
Work EnvironmentData teams within corporate or research settings, often supporting data operationsBusiness or research environments analyzing data to inform decisions
Employer & Industry UsageUsed in finance, healthcare, tech companies for data support rolesCommon across industries for data interpretation and reporting

The main difference is that Senior Data Associates focus on managing and supporting data processes, while Data Analysts primarily interpret data to generate insights. Senior Data Associates often handle data quality and operations, whereas Data Analysts focus on analysis and reporting.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data associate or entering data science. Many professionals transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through online courses or certifications. Success depends on your ability to learn and adapt, not age.

What are the key skills and qualifications needed to thrive as a Senior Data Associate, and why are they important?

To thrive as a Senior Data Associate, you need expertise in data analysis, data management, and a solid understanding of database systems, often supported by a degree in statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau is typically required. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with stakeholders. These skills ensure accurate data insights, drive informed business decisions, and facilitate efficient teamwork within data-driven organizations.

What does a data associate do?

A senior data associate is responsible for collecting, organizing, and analyzing large datasets to support business decisions. They often use tools like Excel, SQL, or data visualization software and ensure data accuracy and integrity in their work environment.

What are Senior Data Associates?

Senior Data Associates are experienced professionals who manage, analyze, and interpret large datasets to support business decision-making. They are responsible for data cleaning, validation, and organization, as well as designing and implementing data collection processes. Senior Data Associates often collaborate with data scientists, analysts, and other stakeholders to ensure data accuracy and accessibility. Their role typically requires strong analytical skills, attention to detail, and proficiency in data management tools and programming languages such as SQL or Python.

How do Senior Data Associates typically collaborate with cross-functional teams within an organization?

Senior Data Associates often work closely with teams such as engineering, product management, and business analytics to ensure data integrity and support organizational goals. They are responsible for translating business requirements into data solutions, managing data pipelines, and providing actionable insights. Regular communication and collaboration are essential, as they often participate in meetings to discuss project progress, data quality issues, and upcoming analytical needs. This cross-functional interaction not only enhances the impact of their work but also fosters a collaborative, learning-oriented environment.
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What cities in Minnesota are hiring for Senior Data Associate jobs? Cities in Minnesota with the most Senior Data Associate job openings:
Associate Vice Provost, Data & Strategic Analytics

Associate Vice Provost, Data & Strategic Analytics

Louisiana State University

Cook, MN

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 11 days ago


Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:Associate Vice Provost, Data & Strategic AnalyticsPosition Type:Professional / UnclassifiedDepartment:LSUAM Department of Academic Affairs (Troy Christopher Blanchard (00009947))Work Location:Lod Cook Alumni CenterPay Grade:AcademicJob Description:

The Associate Vice Provost for Data & Strategic Analytics (AVPODSA) provides senior academic leadership for the Office of Data & Strategic Analytics, integrating institutional research, data management, and strategic analytics to advance LSU's academic mission and strategic priorities. The AVPODSA works with the Senior Vice Chancellor of Academic Affairs & Provost to set the vision, strategy, and governance framework for data and analytics; ensures the integrity, security, and strategic use of institutional data; and partners with academic and administrative leaders to embed data-informed decision making at every level of the institution. The AVPODSA is responsible for developing and maintaining LSU Flagship campus-level data resources-including metrics that track and inform the flagship academic enterprise-to support strategic decision making for the Senior Vice Chancellors of the LSU Flagship campus. These efforts include the deployment of agentic AI to infuse data-based decision-making and assessment into strategic planning across the university.

Job Responsibilities

Academic Data & Analytics Strategy (20%) - Provide strategic leadership for LSU's use of data & analytics; define and refine a data & analytics strategy that supports enrollment management, academic program quality, student success, faculty planning, and research priorities; establish clear priorities, success metrics, and road maps for institutional research, data management, and analytics initiatives supporting colleges, schools, and academic support units; ensure alignment of this work with the University's strategic plan, academic master plan, and accreditation expectations.

Leadership of the Office of Data & Strategic Analytics (20%) - Lead, supervise, and evaluate senior leaders and staff within the Office (e.g., Assistant Vice President of Strategic Analytics, Director of Institutional Research, Director of Data Management); organize the portfolio of work across institutional research, data management, and analytics to ensure clear ownership, efficient workflows, and coordinated delivery of services; foster a culture of collaboration, innovation, professional development, and accountability within the Office.

Data Governance, Compliance & Data Quality (15%) - Lead LSU's engagement in university data governance; develop and oversee standards, and procedures governing academic and research data access, stewardship, quality, and lifecycle management; ensure compliance with federal and state reporting requirements and external mandates (e.g., Louisiana Board of Regents, U.S. Department of Education/IPEDS, NCAA, accrediting bodies, national surveys); oversee data quality strategies to ensure accuracy, consistency, completeness, and reliability across academic systems, reports, and dashboards.

Enterprise Data Architecture, Systems & Analytics Platforms (15%) - In partnership with Information Technology Services, provide leadership for data architecture, data warehouses/data lakes, reporting environments, and analytics platforms (e.g., Workday, Snowflake, enterprise BI tools) that serve academic decisionmaking; guide the design and deployment of scalable data models, semantic layers, and integrations that enable consistent, efficient reporting and advanced analytics; champion investments in modern analytics capabilities (e.g., dashboards, predictive and prescriptive models, AI/ML applications) that support academic and operational decisionmaking.

Institutional Research, Reporting & Strategic Analytics (15%) - Oversee institutional research studies, benchmarking, and analyses that evaluate academic performance and inform policy, program assessment, and strategic planning; ensure the timely production of institutional dashboards, fact books, academic program and student success reports, and strategic initiative scorecards for leadership and external stakeholders; direct the use of advanced analytical methods to investigate complex research questions, model scenarios, and generate actionable recommendations for the Provost, deans, and other senior academic leaders.

Campus Partnerships, Communication & Culture of Evidence (10%) - Build strong, trustbased partnerships with deans, vice provosts, department chairs, and faculty leaders to align analytics support with academic and institutional goals; communicate analytical findings to executive and campus stakeholders in clear, insightful ways that inform academic policy, resource allocation, and program decisions; advocate for and model a culture of datainformed decisionmaking across LSU, including education, training, and engagement on the responsible use of data.

Administration, Resource Management & Other Duties (5%) - Develop and manage the Office's budget, staffing plans, contracts, and technology investments, ensuring efficient use of resources and alignment with institutional academic priorities; represent Academic Affairs and the Office of Data & Strategic Analytics on university and systemlevel committees, task forces, and external partnerships related to data & analytics; perform other duties as assigned by the Senior Vice Chancellor for Academic Affairs & Provost (or designee) to advance LSU's academic and strategic objectives.

Minimum Qualifications

Master's degree and a minimum of 10 years of progressively responsible experience in data analytics, institutional research, and data management.

Specific Experience: Demonstrated success in leading integrated portfolios that include institutional research, data management, and analytics.Experience designing and implementing data strategies, governance frameworks, and major analytics initiatives that support academic decisionmaking.Experience supervising professional staff and leading crossfunctional projects.

Additional Job Description:Special Instructions:Please provide a cover letter, resume, and three professional references, including name, title, phone number, and e-mail address.
For questions or concerns regarding the status of your application or salary ranges, please contact the Office of Academic Affairs at 225-578-8863.

Skills Needed:

Preferred Skills:

Posting Date:June 24, 2026Closing Date (Open Until Filled if No Date Specified):September 18, 2026Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

Essential Position (Y/N):LSU is an Equal Opportunity Employer.

All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university's ability to employ individuals in certain positions.

HCM Contact Information:

For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.