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Data Conversion Jobs in Minnesota (NOW HIRING)

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Design data models that integrate media, site, sales, and media conversion data to provide a complete view of marketing performance. Recommend and implement measurement approaches that support both ...

Develop and optimize SQL scripts and stored procedures for data conversion, validation, and ongoing processing. * Execute large-scale data migration projects, including data cleansing, validation ...

Adecco is assisting a local client recruiting for a Business Data Analyst position based out of ... Contract Temp - 6 mos. with possibility of conversion * ONSITE - Minneapolis/Eden Prairie, MN * M-F ...

Provide end-to-end business process management support across the full project lifecycle, including requirements gathering, process mapping, data conversion activities, user training, and ongoing ...

Serve as a key finance leader during a major enterprise ERP implementation, supporting system design, testing, data conversion, process standardization, and organizational adoption. * Lead financial ...

Marketing Data Analyst III

Maple Grove, MN · Hybrid

$88K - $110K/yr

Track and optimize key performance indicators such as HCP engagement, lead generation, conversion ... Data Governance & Compliance * Ensure all data usage aligns with healthcare regulations, privacy ...

Marketing Data Analyst III

Maple Grove, MN · Hybrid

$88K - $110K/yr

Track and optimize key performance indicators such as HCP engagement, lead generation, conversion ... Data Governance & Compliance * Ensure all data usage aligns with healthcare regulations, privacy ...

Marketing Data Analyst III

Maple Grove, MN · On-site

$88K - $110K/yr

Track and optimize key performance indicators such as HCP engagement, lead generation, conversion ... Data Governance & Compliance * Ensure all data usage aligns with healthcare regulations, privacy ...

Oracle HCM Cloud Core HR Consultant

Minneapolis, MN · On-site

$61 - $83.25/hr

Contributing to data conversion activities, including data extraction, cleansing, transformation, load preparation, reconciliation, and cutover support to enable accurate and complete migration from ...

Owning the end-to-end Data Center customer journey across web, digital, events, sales, and channel touchpoints; identifying gaps and prioritizing improvements that lift engagement and conversion

Owning the end-to-end Data Center customer journey across web, digital, events, sales, and channel touchpoints; identifying gaps and prioritizing improvements that lift engagement and conversion

Corporate Controller

Mendota Heights, MN · On-site

$170K - $200K/yr

Serve as a key finance leader in our Workday ERP implementation by overseeing design decisions, testing protocols, data conversion accuracy, process standardization, and full organizational adoption.

Serve as a key finance leader in our Workday ERP implementation by overseeing design decisions, testing protocols, data conversion accuracy, process standardization, and full organizational adoption.

Showing results 21-40

Data Conversion information

See Minnesota salary details

$10.8K

$107.7K

$136.6K

How much do data conversion jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data conversion in Minnesota is $107,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,200.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a data conversion?

A Data Conversion job involves transforming data from one format, structure, or system to another while ensuring accuracy and consistency. This process is common when migrating data between software systems, upgrading databases, or integrating new technologies. Professionals in this role use specialized tools and scripts to clean, map, and validate data. Their goal is to prevent data loss, maintain data integrity, and ensure seamless usability in the new system.

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

To thrive in a Data Conversion role, you need strong attention to detail, data analysis skills, and experience with database management or programming, often supported by a relevant degree or certifications in IT or computer science. Familiarity with data manipulation tools such as SQL, ETL software, and various file formats is typically required. Strong problem-solving abilities, effective communication, and adaptability are valuable soft skills for this position. These skills help ensure accurate and efficient transformation of data between systems, which is critical for smooth business operations and data integrity.

What are some common challenges faced in a data conversion role, and how are they typically addressed?

One of the most common challenges in Data Conversion is managing data inconsistencies and ensuring data quality during large-scale migrations or system upgrades. Professionals in this field often work closely with IT teams, business analysts, and end-users to identify and resolve data discrepancies or mapping issues. Effective troubleshooting, thorough testing, and clear documentation are standard practices to address these challenges. Communication skills and a proactive approach greatly help in anticipating issues and minimizing downtime during critical data transitions.

What are the most commonly searched types of Data Conversion jobs in Minnesota?

The most popular types of Data Conversion jobs in Minnesota are:

What are popular job titles related to Data Conversion jobs in Minnesota?

For Data Conversion jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Data Conversion jobs?

Cities in Minnesota with the most Data Conversion job openings:

Infographic showing various Data Conversion job openings in Minnesota as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $107,735 per year, or $51.8 per hour.

Senior Data Engineer

Omnicom

Minneapolis, MN • On-site

$110K - $150K/yr

Full-time

Re-posted 7 days ago


Job description

Agency:
Carmichael Lynch
Job Function:
Data and Analytics
Job Subfunction:
Data Science and Analytics
Job Description:
Summary of Job:
As a senior analytics engineer, you'll work across a dynamic client roster designing and building data solutions that connect media, site, and marketing performance data into actionable insights. You will partner closely with analytics, strategy, media, and client teams to architect scalable data solutions that answer business questions and support marketing decision-making.
This role requires a hands-on, solution-oriented engineer who combines deep technical expertise with a strong understanding of media and digital analytics. The ideal candidate proactively identifies opportunities, solves complex data challenges, and helps shape how data is leveraged across the agency and for our clients.
What You'll Do:
Design data solutions that solve client business needs
Partner with analytics and media teams to understand business objectives and translate them into scalable data solutions.
Design data models that integrate media, site, sales, and media conversion data to provide a complete view of marketing performance.
Recommend and implement measurement approaches that support both agency and client objectives.
Serve as a subject matter expert on media and marketing data architecture.
Lead media data engineering initiatives
Build and maintain integrations across major advertising, analytics, and marketing technology platforms.
Develop scalable frameworks for campaign performance measurement, attribution, audience analysis, and optimization.
Evaluate emerging platforms, APIs, and data sources to improve agency capabilities and client outcomes.
Build and maintain data pipelines
Automate reporting pipelines with speed, accuracy, and scalability in mind.
Demonstrate best practices in data engineering and account for considerations specific to media and site data in every step of the automation process.
Write and optimize SQL views, Python/R scripts, and API connectors as needed.
Continually optimize data cleaning and anomaly detection processes.
Help manage and advance our GCP infrastructure, particularly with BigQuery and GCP integrations.
Own data quality and governance
Enforce naming conventions, dataset groupings, versioning, and access standards.
Maintain rigorous QA practices to ensure clean, reliable, and consistent data.
Continuously seek opportunities to improve processes and infrastructure.
Solve problems relentlessly
Proactively catch and investigate issues, find root causes, and go beyond surface solutions.
Work with analysts to anticipate needs and ensure data is easy to find and use.
Demonstrate situational awareness and know when to escalate, push or pull back, or execute.
Communicate effectively with less technical stakeholders to address challenges and keep them updated on progress.
You Could Be a Good Fit If:
You take ownership of data quality and availability like it's mission critical.
You already are, or have the drive to become, an expert in media data.
You're a problem-solver who doesn't stop at "it's broken." You figure out why and how to fix it.
You balance speed and accuracy, knowing both matter in a client-driven environment.
You're adaptable, resourceful, and curious. You're able to figure things out with limited direction. Learning new things and finding creative solutions are some of your favorite parts of your job.
Requirements
Education:
A bachelor's degree preferred or equivalent work experience in related field such as computer science, data science, mathematics/statistics, marketing analytics, etc.
Skills and Experience:
6+ years of experience in data engineering, marketing analytics, media analytics, or related disciplines. Agency experience strongly preferred.
Expert-level SQL and Python skills with experience developing scalable production-grade data pipelines.
Deep experience working with digital media data, including campaign delivery, audience, conversion, and attribution datasets.
Proven experience designing and implementing data solutions that support media planning, optimization, measurement, and reporting.
Strong understanding of digital marketing ecosystems, including platforms such as Google Ads, CM360, DV360, The Trade Desk, Meta, LinkedIn, Adobe Analytics, and Google Analytics 4.
Experience integrating multiple data sources, including media, site analytics, offline conversion, and first-party customer data.
Deep experience with BigQuery, GCP, or similar cloud-based data warehouse environments.
Experience evaluating client business requirements and translating them into scalable technical solutions.
Experience building data products, automated reporting frameworks, and measurement solutions for internal and external stakeholders.
Experience with dashboarding and visualization tools such as Tableau, Looker, Power BI, or similar.
Competencies (Characteristics and Work Style):
Understands both the technical and business implications of data solutions.
Recommends approaches rather than simply execute requirements.
Builds credibility with clients and internal stakeholders through expertise and thoughtful problem solving.
Demonstrates ownership, initiative, and accountability from project inception through delivery.
Influences decisions and challenges assumptions when a better solution exists.
The salary range for this position is listed below. Where an employee or prospective employee is paid within this range will depend on a variety of factors, including but not limited to budget, relevant experience, qualifications, and tenure in similar roles. Consideration may also be given to internal salary data for current or former employees in the same or similar positions.
Salary Range: $105,000 - 135,000 annually$105,000.00 - $135,000.00
Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice
For US Job Seekers:
It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.