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Data Analytics Sales Jobs in Minnesota (NOW HIRING)

Commercial Sales Operations Analyst

Saint Louis Park, MN · On-site

$76K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Sales Operations Analyst is responsible for the collection, analysis, and reporting of company ... Familiarity with data analytics/programming tools: SQL, Snowflake is helpful. * Strong verbal and ...

Commercial Sales Operations Analyst

Saint Louis Park, MN · On-site +1

$76K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Sales Operations Analyst is responsible for the collection, analysis, and reporting of company ... Familiarity with data analytics/programming tools: SQL, Snowflake is helpful. * Strong verbal and ...

Utilizing data analytics and Customer Relationship Management (CRM) tools, this position generates insights and increases efficiency, providing essential support to help the sales team exceed goals.

Manager, Analytics & Insights

Minneapolis, MN · Hybrid

$95K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Analyze sales data to identify trends, patterns, and opportunities for improvement. * Develop and maintain sales dashboards and reporting tools for various stakeholders. * Conduct ad-hoc analyses to ...

Manager, Analytics & Insights

Minneapolis, MN · On-site

$95K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Analyze sales data to identify trends, patterns, and opportunities for improvement. * Develop and maintain sales dashboards and reporting tools for various stakeholders. * Conduct ad-hoc analyses to ...

Showing results 21-40

Data Analytics Sales information

See Minnesota salary details

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How much do data analytics sales jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data analytics sales in Minnesota is $32.75, according to ZipRecruiter salary data. Most workers in this role earn between $25.43 and $41.44 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities of someone in a data analytics sales role?

A Data Analytics Sales professional typically spends their day prospecting new clients, conducting product demonstrations, and collaboratively working with internal analytics teams to tailor solutions to client needs. They also follow up on leads, draft proposals, negotiate contracts, and provide post-sales support to ensure client satisfaction and retention. Regular communication with product and data teams is common, as it helps bridge technical capabilities with customer requirements. This blend of analytical understanding and client-focused work is essential for building strong, lasting business relationships in the data analytics sector.

What are the key skills and qualifications needed to thrive in data analytics sales, and why are they important?

To thrive as a Data Analytics Sales professional, you need a strong background in data analytics concepts, sales acumen, and customer relationship management, often supported by a relevant degree in business, analytics, or a related field. Familiarity with analytics platforms (such as Tableau or Power BI), CRM systems, and sales enablement tools, along with industry certifications, will boost your effectiveness. Excellent communication, active listening, and persuasive skills set top performers apart when translating complex data solutions for diverse clients. These abilities are crucial because they enable you to identify customer needs, demonstrate the value of data-driven solutions, and ultimately drive business growth.

What is a data analytics sales?

A Data Analytics Sales job involves selling data analytics solutions, tools, and services to businesses looking to leverage data for strategic decisions. Professionals in this role identify potential clients, understand their data needs, and demonstrate how analytics solutions can drive business value. They work closely with data teams to showcase product capabilities and help clients implement the right analytics strategies. Strong communication, negotiation, and technical understanding of data processes are key skills for success in this role.

What are the most commonly searched types of Data Analytics Sales jobs in Minnesota? The most popular types of Data Analytics Sales jobs in Minnesota are:
Infographic showing various Data Analytics Sales job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $68,120 per year, or $32.8 per hour.

Senior Marketing Data & Insights Analyst

Tennant Company

Eden Prairie, MN • On-site

$78K - $118K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Tennant Company rating

7.8

Company rating: 7.8 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

211th of 487 rated machine equipment manufacturers


Job description

Location: Eden Prairie, MN

Pay: $78,700 - $118,100

With more than $1B in revenue, Tennant Company is a globally recognized leader in the cleaning equipment industry. For the past 150 years, we have been passionate about developing and manufacturing innovative and sustainable solutions for our customers. At Tennant Company, we are committed to stewardship and creating a cleaner, safer and healthier world. With manufacturing, operations and sales, service, and support functions across the globe, your journey at Tennant can take you places you never expected.

PURPOSE/SCOPE: 

The Senior Marketing Data & Insights Analyst is responsible for building, maintaining, and interpreting marketing performance data across Tennant, IPC, and Robotics brands. This role transforms complex marketing data into clear, actionable insights that guide campaign decisions, GTM strategy, and business performance reviews. The ideal candidate is both a skilled BI builder and a confident analytical storyteller - someone who can tell leadership not just what the data says, but what it means for the business and what should happen next.

GENERAL RESPONSIBILITIES: 

Data & Reporting

  • Build and maintain marketing BI reports and dashboards covering web performance, eCommerce, , CRM pipeline, marketing performance, and campaign analytics
  • Ensure all reports and dashboards are accurate and QA-reviewed before distribution
  • Publish recurring reports on schedule; manage the marketing BI request queue and collaborate with crossfunctional partners on requests
  • Maintain and continuously improve reporting infrastructure using Power BI with a focus on automation, standardization, and usability
  • Support execution of Monthly and Quarterly Marketing Metrics Reviews for IBM including data preparation, report builds, and performance tracking


Analysis & Insights

  • Translate marketing data into clear business narratives, outputs should answer not just what happened, but why it happened and what it means for the business
  • Develop and maintain vs. Plan performance analysis as the primary lens for all marketing reporting; include YoY comparisons only when they add explanatory context
  • Analyze marketing funnel performance, including MQL to SQL to opportunity to revenue, and identify drivers and barriers by region, brand, and channel
  • Identify trends, anomalies, and opportunities in marketing data proactively and surface insights to the Business Intelligence Leader and brand teams without waiting to be asked
  • Support web and eCommerce performance analysis including GA4, digital channel attribution, and online conversion tracking
  • Contribute analytical support to campaign measurement, demand generation reporting, and GTM performance tracking across Tennant, IPC, and Robotics brands

Cross-functional Partnership

  • Partner with brand teams, regional marketing teams, and product managers to understand data needs and translate business questions into analytical outputs
  • Present data and analysis to marketing partners and leadership in clear and concise language, audience should be able to read the summary and understand the business story quickly and effectively
  • Standardize and educate marketing stakeholders on KPIs, metric definitions, and data interpretation, help build data literacy across the IBM marketing team

Continuous Improvement

  • Identify and recommend improvements to marketing data collection, reporting processes, and analytical frameworks
  • Maintain data governance and report documentation so outputs can be understood, maintained, and built upon by the broader team
  • Stay current on BI tools, marketing analytics platforms, and emerging best practices, bringing relevant innovations to the team

REQUIRED INTERPERSONAL & BEHAVIORAL SKILLS:  In addition to the General Responsibilities, the following are requisite interpersonal and behavior skills of the position as well as:

  • Problem-solving mindset
  • Strong analytical thinking with the ability to identify the story in the data and communicate it clearly to a non-technical audience
  • Proven ability to work independently, prioritize a high-volume workload, and meet deadlines consistently without close supervision
  • Detail-oriented with a personal commitment to data accuracy
  • Ability to build relationships and influence partners across marketing, sales, and regional teams
  • Comfortable presenting analysis to leadership and adapting communication style to the audience
  • Calm and effective in a deadline-oriented environment with competing priorities
  • Collaborative and curious

REQUIRED QUALIFICATIONS

  • Bachelors degree in Marketing, Business, Data Analytics, or a related field
  • Minimum 5 years of relevant experience in marketing analytics, business intelligence, or a related data function
  • Proficiency in Power BI or equivalent BI platform, ability to build, maintain, and publish reports independently
  • Experience with CRM and marketing automation platforms, preferably CRM Dynamics
  • Working knowledge of web analytics platforms, including Adobe Analytics, GA4 or equivalent
  • Experience with marketing funnel metrics: MQL, SQL, conversion rates, pipeline reporting, and campaign performance measurement
  • Strong written and verbal communication skills with demonstrated ability to present data to non-technical audiences
  • Advanced Excel skills; familiarity with data modeling concepts a plus

PREFERRED QUALIFICATIONS

  • Experience supporting executive-level business reviews or leadership reporting
  • Familiarity with eCommerce analytics and digital attribution modeling
  • Exposure to B2B marketing analytics in a global or multi-brand environment
  • Demonstrated interest in growing analytical scope and capability over time

Total Compensation = Pay range + Benefits

Posted salary ranges are made in good faith. Tennant Sales and Service Co. reserves the right to adjust ranges depending on the experience/qualifications of the selected candidate as well as internal and external equity.  The salary range reflects both entry into the role and future growth. Total Compensation = Base Salary + Benefits

Benefits = A comprehensive benefits package including multiple medical plan options, 401(k) with a 100% match up to 6%, paid vacation time, up to 8 paid company holidays and 3 personal holidays per year, dental and vision coverage, wellness rewards, robust family support programs, companypaid disability and life insurance, and a full Employee Assistance Program.

Defining Our Employee Value Proposition   

At Tennant Company, we...  

Discover fulfilling work with opportunities for growth and meaningful recognition. 

Drive the quality and innovation our customers rely on in our products and services. 

Connect with people who care about each other, our brands and our communities.

These are the principles that define how our employees experience Tennant Company, make Tennant a great place to grow your career, and are at the core of our legacy and future.Together, they serve as guideposts for working with our customers, our partners and one another.

Begin your journey with us. Let's reinvent how the world cleans.  

Equal Opportunity Employer

Tennant Company is an equal opportunity employer. Employment decisions are made on the basis of individual skill, ability, reliability, productivity, and other factors important to performance. We do not discriminate on the basis of race, color, creed, religion, sex, national origin, physical or mental disability, age, veteran status, pregnancy, sexual orientation, genetic information, gender identity, or any other basis protected by state or federal law or local ordinance.


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