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Operations Analytics Manager Jobs in Minneapolis, MN

You will work as part of cross-functional teams providing financial, accounting, operational and commercial due diligence, bringing your skills to the M&A deal to manage and analyze the data in ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a ...

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a ...

Selene is seeking a qualified candidate for the Operations Analyst position ("Analyst"). This ... Reporting to the VP of Operations, the successful candidate will manage and/or assist with various ...

Showing results 21-40

Operations Analytics Manager information

See Minneapolis, MN salary details

$32.4K

$66.2K

$123.7K

How much do operations analytics manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for operations analytics manager in Minneapolis, MN is $66,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,800.00 and $80,900.00 per year, depending on experience, location, and employer.

How does an operations analytics manager typically collaborate with cross-functional teams in a company?

Operations Analytics Managers frequently work with departments such as finance, supply chain, IT, and customer service to identify inefficiencies and recommend data-driven improvements. They act as a bridge between technical analysts and business stakeholders, translating analytical findings into actionable strategies. Regular meetings, project updates, and collaborative workshops are common, ensuring alignment on objectives and progress. This role requires strong communication skills and the ability to tailor complex data insights to diverse audiences.

What is the difference between Operations Analytics Manager vs Data Analyst?

AspectOperations Analytics ManagerData Analyst
Required CredentialsBachelor's or Master’s in Business, Analytics, or related field; often prefers experience in operationsBachelor's in Statistics, Mathematics, or related field; certifications like SQL or Tableau are common
Work EnvironmentLeads teams in operational settings, collaborates with management, focuses on process improvementAnalyzes data sets, creates reports, supports decision-making across departments
Employer & Industry UsageUsed in logistics, manufacturing, retail, and supply chain companiesCommon across finance, marketing, healthcare, and tech industries

The Operations Analytics Manager focuses on leading teams to optimize operational processes using analytics, while Data Analysts primarily interpret data to support decision-making. Both roles require strong analytical skills, but the manager role involves leadership and strategic planning in operational contexts.

Is data analytics a high paying job?

Operations Analytics Managers typically earn above-average salaries compared to many other roles, with compensation influenced by experience, industry, and location. Skills in data analysis tools and business intelligence platforms can also impact earning potential.

What are the key skills and qualifications needed to thrive as an operations analytics manager?

To thrive as an Operations Analytics Manager, you need strong analytical skills, business acumen, and experience with data modeling, often supported by a degree in business, statistics, or a related field. Familiarity with analytics platforms like SQL, Tableau, Python, and experience in ERP or CRM systems is typically required. Exceptional problem-solving, communication, and leadership skills help you translate data insights into actionable strategies and lead cross-functional teams. These skills are vital to drive data-informed decision-making and optimize operational efficiency within an organization.

What does an operations analytics manager do?

An operations analytics manager oversees the analysis of data related to business operations to improve efficiency, reduce costs, and optimize processes. They use tools like Excel, SQL, and data visualization software to interpret large datasets, develop reports, and support decision-making. Strong analytical skills, understanding of operational workflows, and experience with data management are essential for this role.
Infographic showing various Operations Analytics Manager job openings in Minneapolis, MN as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $66,243 per year, or $31.8 per hour.

Marketing Automation and Analytics Manager

Lever Demo 2

Minneapolis, MN

Full-time

Re-posted 3 days ago


Job description

Welcome to the Demo Job Listing for Lever! This is a fictional job created solely for demonstration purposes and is not an actual open position. We've crafted this listing to showcase the functionality of our ATS platform, including job descriptions, application processes, and more.

While you can explore the application process and features here, please note that applications submitted to this job will not be reviewed or responded to as it's for demonstration only.

Here at HackerRank we're on a mission to make the world flat. Technical recruiting is broken and HackerRank is a tool that helps programmers hone their skills and companies to hire great talent.

We're an 85 person team across Mountain View, CA & Bangalore, India and our revenue is growing at 100% Q-o-Q. We have a database of 800k+ hackers across 31 countries and our customers include Amazon, Facebook, VMWare, Bloomberg, Morgan Stanley, Twitter, Square, Quora, Airbnb, Yelp and many more! It's the highest growth phase of the company and we have lots of exciting things across both products coming soon!

We're looking for a rock star who thinks like a marketer and has the passion and the capabilities to build the technology foundation that will drive marketing innovation and scale. Our ideal candidate is an expert in getting the most out of marketing automation systems to fuel innovative and effective marketing campaigns as well as build a rock solid operating infrastructure for our leads, database, reporting & analytics. You should be an analytical and operational thinker, naturally curious and interested in creating new best in class, leading edge marketing methods and processes.
WHAT YOU'LL BE DOING (AND LOVING IT!)...
  • Lead the research, selection and implementation of marketing automation toolset for capturing, scoring, nurturing and tracking customer prospects.
  • Build and manage key marketing integrations - salesforce.com, lead scoring, web site tools, third party lead sources, etc - working closely with vendors, sales operations and marketing program managers
  • Vet out new marketing technology solutions to build the infrastructure to advance our marketing capabilities and operational efficiencies. You will be responsible for building the marketing analytics stack
  • Refine scoring mechanisms and implement guidelines & processes for MQLs & SQLs
  • Segment audiences and build sound nurture programs with the goal to continuously maximize marketing conversions
  • Run hundreds of digital experiments, monitor email deliverability and maintain a high rate of deliverability
  • Develop and implement policies and procedures to ensure data integrity and cleanliness of database working with marketing, sales and product teams
YOUR EXPERIENCE (AND YOU'VE LOVED IT!)...
  • 3+ years in demand generation/marketing automation
  • B2B marketing background with experience in marketing automation, leads processing (including lead scoring), marketing database
  • Successful track record of implementing and managing marketing automation systems and associated integrations. Hands-on experience working with various marketing and sales APIs such as Marketo, Hubspot and Salesforce. Must be familiar with marketing automation tool landscape.
  • Working knowledge of HTML, Javascript, and CSS
  • Demonstrated proficiency with database design concepts, data modeling, and segmentation
  • Experience configuring customer tracking platform such as Google Analytics.
  • Strong team player, strong collaboration skills
  • Excellent at planning and project management - ability to look ahead to meet regular deadlines and predict and prevent last minute fire drills.
  • Must be resourceful and have initiative to resolve problems by a combination of research and consulting with experts
  • Must have excellent written and verbal communications skills with ability to effectively interact with both technical and non-technical
  • Must be highly driven and self-motivated for a fast paced evolving environment
  • BA/BS in marketing, business or computer science
  • Marketo, salesforce certification is a plus
GET EXCITED. Because you're about to have a huge impact.

LeverDemo is growing fast and we're having a great time working together as we build! We're a fun, friendly, passionate bunch. And we're looking for more smiling faces to come join us!

Lever builds modern recruiting software for teams to source, interview, and hire top talent. Our team strives to set a new bar for enterprise software with modern, well-designed, real-time apps. We participated in Y Combinator in summer 2012, and since then have raised $73 million. As the applicant tracking system of choice for Netflix, Eventbrite, ClearSlide, change.org, and thousands more leading companies, Lever means you hire the best by hiring together.

Lever is an equal opportunity employer. We are committed to providing reasonable accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance during the application process, please don't hesitate to reach out! We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives. Learn more about our team culture and commitment to diversity and inclusion. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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