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Applied Data Analytics Jobs in Minnesota (NOW HIRING)

Data Scientist

Minneapolis, MN · On-site +1

$100K - $150K/yr

... analysis experience -- has applied time-to-event modeling in a commercial context (e.g., customer ... data architecture familiarity -- understands the Salesforce object model well enough to write ...

Data Scientist

Minneapolis, MN · On-site

$100K - $150K/yr

... analysis experience - has applied time-to-event modeling in a commercial context (e.g., customer ... data architecture familiarity - understands the Salesforce object model well enough to write ...

Interest in marketing analytics, customer data, and applied data science * Ability to present analytical findings to a non-technical audience through reports, dashboards and presentations * Ability ...

Mentor and provide guidance to junior analysts on advance and applied data analysis techniques, tools and best practices to foster a culture of continuous learning and improvement. * Data Analysis

Mentor and provide guidance to junior analysts on advance and applied data analysis techniques, tools and best practices to foster a culture of continuous learning and improvement. * Data Analysis

The Advanced Data Analytics Analyst supports enterprise data and analytics initiatives by gathering ... Measure and monitor the impact of applied recommendations and adjust analyses as needed * Ensure ...

The Advanced Data Analytics Analyst supports enterprise data and analytics initiatives by gathering ... Measure and monitor the impact of applied recommendations and adjust analyses as needed * Ensure ...

Mentor and provide guidance to junior analysts on advance and applied data analysis techniques, tools and best practices to foster a culture of continuous learning and improvement. * Data Analysis

Affordability Analyst III

Minnetonka, MN · On-site

$90K - $155K/yr

Mentor and provide guidance to junior analysts on advance and applied data analysis techniques, tools and best practices to foster a culture of continuous learning and improvement. * Data Analysis

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Showing results 1-20

Applied Data Analytics information

See Minnesota salary details

$25.3K

$125.8K

$223K

How much do applied data analytics jobs pay per year?

As of Jul 15, 2026, the average yearly pay for applied data analytics in Minnesota is $125,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,130.00 and $169,061.00 per year, depending on experience, location, and employer.

What is an Applied Data Analytics job?

An Applied Data Analytics job involves using data analysis, statistical methods, and machine learning techniques to extract insights and support decision-making in various industries. Professionals in this role work with large datasets, clean and preprocess data, and create visualizations to communicate findings effectively. They often use programming languages like Python or R, along with database tools such as SQL, to analyze trends and optimize business processes. Applied Data Analytics roles are found in sectors like healthcare, finance, marketing, and technology, helping organizations make data-driven decisions.

What are the typical daily responsibilities of someone working in Applied Data Analytics?

Professionals in Applied Data Analytics typically spend their days collecting, cleaning, and analyzing large datasets to identify trends and patterns relevant to their organization’s goals. They use various statistical and machine learning techniques to build predictive models, generate visual reports, and present data-driven recommendations to stakeholders. Collaborating with cross-functional teams such as marketing, operations, and IT is common, ensuring data solutions are closely aligned with business needs. This dynamic role also involves continuous learning to keep up with evolving analytical tools and methodologies.

What are the key skills and qualifications needed to thrive in the Applied Data Analytics position, and why are they important?

To thrive in Applied Data Analytics, you need strong analytical skills, proficiency in statistical methods, and typically a degree in data science, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience with data visualization tools like Tableau or Power BI, and knowledge of SQL are commonly required, along with relevant certifications such as Certified Analytics Professional (CAP). Strong problem-solving abilities, effective communication, and a knack for translating complex data into actionable insights set standout professionals apart. These skills are crucial for transforming raw data into meaningful solutions that support informed business decisions and drive organizational success.

What are popular job titles related to Applied Data Analytics jobs in Minnesota? For Applied Data Analytics jobs in Minnesota, the most frequently searched job titles are:
Data Scientist

Data Scientist

Tactile Medical

Minneapolis, MN • On-site, Remote

$100K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 1 hour ago


Tactile Medical rating

7.5

Company rating: 7.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses.

Position Summary
The Marketing Data Scientist is the predictive intelligence engine of TCMD's Marketing and Market Access organization. The primary work is finding connections in TCMD's data that no one has looked for yet, building predictive models, and translating validated models into forward-looking tools. This individual synthesizes insights from Tactile’s internal and external data platforms to develop and explore hypotheses for growth. The role's mission is to surface predictive insights from these systems that inform commercial strategy before decisions are finalized. This role collaborates closely with marketing and market access leadership along with sales excellence and commercial leadership.

Accountabilities & Responsibilities
• Exploratory analysis, hypothesis generation, feature engineering, model construction, and validation
• Build and validate predictive models using appropriate machine learning and statistical methodologies
• Translating validated models into forward-looking dashboards or automated scoring systems that are consumed with ease by stakeholders
• Partner across the marketing organization to develop campaign lift attribution; building causal inference models isolating incremental referral lift from specific marketing programs
• Develop predictive analytics supporting payer targeting and coverage expansion opportunities
• Train commercial team users on how to interpret and act on model outputs and the specific decisions the model is designed to support
• Communicate within marketing and market access on status of model pipeline and backlog; routinely collect voice of internal stakeholder needs to drive continuous improvement in data driven decision making
• Manage assigned projects to completion on time, within scope, and within budget.
• Other duties as assigned.

Qualifications

Required:
• Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations
• 4-7 years applied data science or machine learning experience, applied in commercial or operational environments
• Experience creating predictive models for non-data-scientists to make real commercial or operational decisions
• Comfort with messy healthcare commercial data, intellectual curiosity, and the communication discipline to translate technical findings into commercial language
• Expert-level modern data science skills in Python and SQL working with structured data and machine-learning frameworks; version-controlled code development and deployment
• Ability to transform messy, real-world healthcare data with missing values, inconsistent coding, and multiple granularities into reliable predictive model inputs
• Working knowledge of Salesforce CRM architecture, healthcare claims data, Power BI/Fabric deployment environments

Preferred:
• Master's or PhD in quantitative field
• Understanding of referral-based commercial models, payer coverage dynamics, prior authorization processes, and DME/medical device reimbursement
• Survival analysis experience — has applied time-to-event modeling in a commercial context (e.g., customer churn, time-to-conversion, time-to-renewal). Particularly relevant for funnel stage duration modeling and HCP churn prediction
• Salesforce data architecture familiarity — understands the Salesforce object model well enough to write efficient queries and build reliable features from CRM data without requiring a Salesforce administrator to extract data
• Power BI or Tableau development experience sufficient to deploy model scoring outputs as operational dashboards
• Experience in a B2B2C or referral-based commercial model where the customer and the end user are different

Our total compensation package includes medical, dental and vision benefits, retirement benefits, employee stock purchase plan, paid time off, parental leave, family medical leave, volunteer time off and additional leave programs, life insurance, disability coverage, and other life and work wellness benefits and discounts. Benefits may be subject to generally applicable eligibility, waiting period, contributions, and other requirements and conditions.

Below is the starting salary or hourly range for this position, although offers may differ based on the candidate's location, job-specific knowledge, skills and experience.

US Pay Range

$100,500 - $150,675 USD

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