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Data Services Associate Jobs in Racine, WI (NOW HIRING)

As a Senior Associate, you will build meaningful client connections and learn how to manage and ... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities ...

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Data Entry Specialist

Park City, IL · On-site

$22 - $30/hr

Associate degree in Business Administration or related field Company Description We are a family ... Our services include asphalt paving, concrete, brickwork, and pavement maintenance, with a strong ...

Oversee and review new business data requests for accuracy and responsiveness * Develop a thorough understanding of the firm and the firm's investment strategies * Ensure consistency in messaging ...

Oversee and review new business data requests for accuracy and responsiveness * Develop a thorough understanding of the firm and the firm's investment strategies * Ensure consistency in messaging ...

Advanced data and analytics providing a comprehensive overview of the risk landscape is at your ... Overview At Gallagher, we're looking for an Associate Client Service Manager to join our Commercial ...

... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ... services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB ...

... service while maintaining rigorous standards of quality and integrity. This role offers the chance ... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks ...

... Service Associate to join our team. In this role, you will be a key point of contact for our ... Managing documentation, filing, and data entry related to customer orders and accounts * Preparing ...

... Service Associate to join our team. In this role, you will be a key point of contact for our ... Managing documentation, filing, and data entry related to customer orders and accounts * Preparing ...

Principal Data Architect

Milwaukee, WI · Hybrid

$160K - $190K/yr

Financial services or investment domain experience This role is not eligible for employment-based ... all associates and employment applicants regardless of race, religion, ancestry, creed, color ...

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Data Services Associate information

See Racine, WI salary details

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How much do data services associate jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for data services associate in Racine, WI is $17.57, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.70 per hour, depending on experience, location, and employer.

What does a data associate do?

A Data Services Associate is responsible for collecting, organizing, and maintaining data to ensure accuracy and accessibility. They often use tools like spreadsheets and databases, perform data validation, and support data analysis tasks to help organizations make informed decisions.

What qualifications are needed for a data associate?

A data services associate typically needs a bachelor's degree in fields such as data science, computer science, or related areas. Strong analytical skills, proficiency in data management tools like Excel, SQL, or Python, and attention to detail are also important qualifications for the role.

What is the difference between Data Services Associate vs Data Analyst?

AspectData Services AssociateData Analyst
Required CredentialsTypically a bachelor's degree in data management, IT, or related fieldsUsually a bachelor's degree in statistics, mathematics, or related fields; often requires analytical skills
Work EnvironmentData management teams, data warehouses, or IT departmentsBusiness units, analytics teams, or consulting firms
Employer & Industry UsageUsed across industries for data handling and support rolesCommonly employed for data analysis, reporting, and insights generation

The Data Services Associate primarily focuses on managing, organizing, and maintaining data systems, ensuring data quality and accessibility. In contrast, a Data Analyst interprets data, creates reports, and provides insights to support decision-making. While both roles require familiarity with data tools, the Data Services Associate emphasizes data infrastructure, whereas the Data Analyst emphasizes data interpretation and analysis.

Is 40 too late for data science?

Data Services Associates and other data science roles do not have strict age limits; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, regardless of age. Continuous learning and practical experience are key factors for entering the field at any age.

What skills do you need to be a data specialist?

A data services associate needs strong analytical skills, proficiency in data management tools like SQL and Excel, and an understanding of data privacy and security practices. Attention to detail, problem-solving abilities, and good communication skills are also important for interpreting and presenting data effectively.

What are Data Services Associates?

Data Services Associates are professionals responsible for managing, organizing, and processing large amounts of data within an organization. They typically handle data entry, data quality checks, and the maintenance of databases or data systems. Their work ensures that data is accurate, up-to-date, and accessible to other teams for analysis and decision-making. Data Services Associates may also assist with reporting, troubleshooting data issues, and supporting data migration or integration projects.

How does a Data Services Associate typically collaborate with other departments within an organization?

Data Services Associates often work closely with teams such as analytics, IT, marketing, and operations to ensure data is accurately collected, maintained, and distributed. They may support project initiatives by gathering requirements from stakeholders, resolving data discrepancies, and providing timely data reports to inform business decisions. Strong communication skills are essential, as Associates frequently translate technical data concepts into actionable insights for non-technical teams. This collaborative environment fosters both learning and professional growth, as Associates gain exposure to a variety of business functions.

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

To thrive as a Data Services Associate, you need strong analytical skills, attention to detail, and a foundational understanding of data management, typically supported by a degree in information systems or a related field. Familiarity with data processing tools such as SQL, Excel, and data visualization platforms, along with experience in database systems, is often required. Effective communication, problem-solving abilities, and a collaborative mindset help individuals excel in team-based, data-driven environments. These skills ensure accurate data handling, efficient workflow, and impactful insights for organizational decision-making.
Data Engineer - Senior Associate

Data Engineer - Senior Associate

Pwc

Milwaukee, WI • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

18th of 57 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. You will navigate increasingly complex situations, grow your personal brand, and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, and to deliver quality work. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. You will transform raw data into actionable insights, enabling informed decision-making and driving business growth. By using a broad range of tools, methodologies, and techniques, you will generate new ideas and solve problems, contributing to the overall strategy and objectives of your projects. This position offers a chance to develop a deeper understanding of the business context and how it is evolving.
Responsibilities
- Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
- Developing and maintaining data pipelines, integration, and transformation solutions to support client needs
- Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
- Applying data architecture development and database management skills to optimize data solutions
- Leveraging Apache Airflow and Apache Hadoop for scalable data processing and workflow management
- Building and managing data lakes and warehouses to support large-scale data storage and retrieval
- Confirming data quality and validation through rigorous testing and performance tuning
- Collaborating with clients to understand their data requirements and deliver actionable insights
- Utilizing Databricks Unified Data Analytics Platform for advanced data analytics and visualization
- Implementing data security best practices to protect sensitive information and maintain compliance
- Applying dimensional modeling and directed acyclic graphs (DAGs) for efficient data organization and processing
- Supporting the development of data strategies to drive business growth and informed decision-making
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating proficiency in data engineering platforms like Databricks
- Utilizing cloud platforms such as AWS and Microsoft Azure
- Excelling in data architecture development and data modeling
- Implementing data pipeline and data integration strategies
- Navigating complex data environments with Apache Hadoop and Airflow
- Applying critical thinking to solve data-related challenges

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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