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Data Operations Analyst Jobs in Wisconsin (NOW HIRING)

Data Platform Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

... and operational workflows • Support data integrity, control, reconciliation, lineage, and auditability initiatives • Troubleshoot production issues, perform root cause analysis, and implement ...

Data Platform Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

... operational workflows * Support data integrity, control, reconciliation, lineage, and auditability initiatives * Troubleshoot production issues, perform root cause analysis, and implement durable ...

Data Platform Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

... and operational workflows • Support data integrity, control, reconciliation, lineage, and auditability initiatives • Troubleshoot production issues, perform root cause analysis, and implement ...

Data Platform Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

... operational workflows * Support data integrity, control, reconciliation, lineage, and auditability initiatives * Troubleshoot production issues, perform root cause analysis, and implement durable ...

Track carrier time in transit from shipment to delivery on an ongoing basis, managing large data ... operations or the equivalent. * 2-3 years of analytical on the job experience * Proficiency in ...

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Showing results 1-20

Data Operations Analyst information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do data operations analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data operations analyst in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What are Data Operations Analysts?

Data Operations Analysts are professionals who manage, optimize, and ensure the accuracy of data workflows within an organization. They are responsible for collecting, processing, and analyzing data to support business operations and decision-making. Their duties often include maintaining databases, troubleshooting data issues, and collaborating with other teams to improve data quality and efficiency. By ensuring data integrity and availability, Data Operations Analysts help organizations make data-driven decisions and streamline their operations.

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

To thrive as a Data Operations Analyst, you need strong analytical skills, proficiency in data management, and a relevant degree such as in computer science, statistics, or a related field. Familiarity with SQL, data visualization tools (such as Tableau or Power BI), and data pipeline systems is typically required, along with certifications like Microsoft Certified: Data Analyst Associate being advantageous. Attention to detail, problem-solving ability, and effective communication are essential soft skills for collaborating with cross-functional teams and ensuring data integrity. These skills and qualities are vital for maintaining accurate data flows, supporting business decisions, and driving operational efficiency.

How does a Data Operations Analyst typically collaborate with other departments to improve data processes?

Data Operations Analysts regularly work with cross-functional teams, including IT, business intelligence, and department leads, to streamline data collection, integration, and reporting. They often serve as the bridge between technical and non-technical teams, translating business needs into actionable data solutions. Effective collaboration may involve participating in meetings to understand project requirements, troubleshooting data issues with engineering teams, and training staff on new data tools or procedures. Strong communication skills are essential, as the role requires aligning diverse stakeholders toward common data integrity goals.

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

AspectData Operations AnalystData Analyst
Required CredentialsBachelor's in Data Science, IT, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified Data Analyst
Work EnvironmentData teams, IT departments, business operationsBusiness units, marketing, finance, or research teams
Employer & Industry UsageTech companies, finance, healthcare, retailMarketing agencies, consulting firms, finance, healthcare

While both roles involve working with data, Data Operations Analysts focus on managing data workflows, ensuring data quality, and supporting data infrastructure. Data Analysts primarily analyze data to generate insights, reports, and support decision-making. The roles often overlap but differ in their core responsibilities and focus areas.

What job categories do people searching Data Operations Analyst jobs in Wisconsin look for? The top searched job categories for Data Operations Analyst jobs in Wisconsin are:
Senior Sales & Marketing Operations Analyst

Senior Sales & Marketing Operations Analyst

Millennium-

Delavan, WI • On-site

Full-time

Re-posted 17 days ago


Job description

Lead with Data. Influence Strategy. Accelerate Performance.

Millennium is seeking a Senior Sales & Marketing Operations Analyst to be the analytical engine behind Millennium's revenue function. In this role, you will turn raw data into the insights that shape how we sell, how we market, how we price, and how we show value to our customers. Your job is to make our sales team better at theirs. Remove the friction in their day, put the right insights in their hands, and give them the analytical support they need to serve customers and win more. You'll work side-by-side with the CRO, Director of Sales Operations, sales leadership, marketing, finance, supply chain, and our customers, surfacing what's working, what's broken, and what to do about it. Half of your work points inward: dashboards, pipeline health, sales forecasting, the demand forecast that feeds the supply chain's SIOP process, sales performance (rep-territory-region-company), win/loss analysis, quotas, and compensation. The other half points outward: building the dashboards, scorecards, and business reviews that enable our sales team to show our customers the value we deliver. You'll live in HubSpot, DOMO, and NetSuite, and you'll use AI tools aggressively - to automate manual reporting, accelerate insights to action, streamline how we get things done, and provide more value to customers.

What You'll Do
  • Build and maintain DOMO dashboards for internal stakeholders across sales, marketing, finance, and the executive team - with AI-generated commentary on key movements and standardized metric definitions so leadership operates from a single source of truth.
  • Design and deliver client-facing reporting and analytics - customer scorecards, dashboards, and quarterly business reviews that show our customers the value Millennium delivers and uncover opportunities to grow the relationship - leveraging AI to scale personalized insights across the customer base
  • Own ongoing win/loss analysis as a recurring capability - synthesize CRM data, sales notes, and customer feedback into clear patterns on why we win and why we lose, and feed those insights into pricing, sales strategy, product positioning, and marketing.
  • Own CRM data integrity in HubSpot - accounts, contacts, deals, pipelines, workflows, reports - using AI-assisted tooling to detect duplicates, enrich records, and reduce manual cleanup; serve as the day-to-day sales administrator.
  • Partner with Finance's Pricing Manager to translate financial pricing analytics into commercial action - pairing margin, price realization, and competitive insight with structured win/loss analysis to identify pricing opportunities, address leakage, and inform deal-desk decisions on strategic opportunities
  • Produce rep- and team-level performance analytics - activity, conversion, win rate, deal size, cycle time, and quota attainment by segment, product, and territory
  • Apply AI tools across the analytics stack to automate recurring reports, draft commentary on performance trends, accelerate data cleanup, surface anomalies, and improve forecast and pricing accuracy. Treat automation as core to the job, not a side project
  • Build and maintain the pipeline, bookings, and forecast reporting the CRO and sales leadership rely on each week - apply predictive and AI-assisted models to improve forecast accuracy, and provide quicker insights to action.
  • Partner with supply chain to develop the demand forecast that feeds the Sales, Inventory & Operations Planning (SIOP) process - translating pipeline outlook, customer demand signals, and bookings trends into a forward view supply chain can plan inventory and capacity against
  • Partner with finance on commission calculations, SPIFF payouts, and quarterly comp plan analysis
  • Report on marketing-sourced and marketing-influenced pipeline; measure campaign performance, channel ROI, attribution, and MQL-to-revenue conversion - using AI to scale multi-touch attribution and surface which programs are producing revenue
  • Translate analysis into recommendations - not just charts. Tell the team what to do, not just what happened, and follow the action through to the outcome
  • Continuously improve the reporting stack: replace manual work with AI-driven workflows, retire stale reports, and raise the bar on data quality and analytical depth across the revenue function
What You Bring
  • 5+ years in sales operations, revenue operations, marketing operations, pricing analytics, or business analytics - ideally in a B2B environment with complex, multi-stakeholder deals
  • Hands-on HubSpot experience (administration, workflows, reporting) and proven fluency in DOMO or a comparable BI platform (Tableau, Power BI, Looker)
  • Working fluency with modern AI tools (ChatGPT, Claude, Copilot, or similar) applied to analytics work - and a clear point of view on where AI accelerates the work and where it doesn't
  • Bias toward automation - you've replaced manual processes with AI or scripted solutions and can show measurable before/after results
  • Strong Excel and Google Sheets fluency; SQL a plus; familiarity with Python or scripting for data work a plus
  • Demonstrated experience building customer-facing reporting and business reviews - not just internal dashboards
  • Comfort partnering across finance and supply chain - exposure to SIOP, demand planning, or pricing analytics is a strong plus
  • Experience running structured win/loss analysis and turning the findings into commercial action
  • Track record of analytics work that changed how a business operated - pricing moves, territory adjustments, comp redesigns, campaign reallocation
  • Millennium | Senior Sales & Marketing Operations Analyst
  • Sharp judgment on what matters: ability to cut through noise and surface the two or three things leadership or a customer needs to act on
  • Operating instinct - you don't stop at the insight, you push for the action that follows
  • Clear communicator who can present complex analysis to executives, sales teams, and customers in language they understand
  • Bachelor's degree in business, finance, economics, analytics, or a related field - or equivalent experience
Why Join Millennium?

This role is critical to executing Millennium's growth strategy. You'll have the opportunity to-

  • Work directly with senior leadership
  • Lead high-impact, company-wide initiatives
  • Shape how strategy turns into execution
  • Help scale a growing, ambitious organization