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Data Services Associate Jobs in Wisconsin (NOW HIRING)

thg

Surety Underwriting Associate

Itasca, IL · Hybrid

... servicing handling including processing transactions and partnering with other support areas like ... Account preparation: collection/analysis of data, ensuring complete file documentation, instruction ...

Pwc

Data Engineer - Senior Associate

Milwaukee, WI

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... GCP services - Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data ...

mcts

SENIOR NETWORK ENGINEER

Milwaukee, WI

$77K - $81K/yr

Work with voice and data service providers to obtain new service and troubleshoot/maintain existing ... QUALIFICATIONS: * Associate's Degree in Computer Science, Engineering Technology or similar ...

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Data Services Associate information

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.

Are data analysts well paid?

Data analysts, including Data Services Associates, typically earn competitive salaries that vary by experience, location, and industry. Entry-level roles may start lower, but with skills in SQL, Excel, and data visualization tools, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with steady demand.

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.

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.

Will AI replace data analysts?

AI is transforming data analysis by automating routine tasks and enhancing data processing capabilities, but it is unlikely to fully replace data analysts. Instead, data analysts will increasingly focus on interpreting complex insights, developing strategies, and managing AI tools, requiring skills in data visualization, programming, and critical thinking.

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.
What job categories do people searching Data Services Associate jobs in Wisconsin look for? The top searched job categories for Data Services Associate jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Services Associate jobs? Cities in Wisconsin with the most Data Services Associate job openings:
Data Services Associate jobs near you

Lead Data Platform Administrator

CLA (CliftonLarsonAllen)

Milwaukee, WI • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
CLA is a top 10 national professional services firm dedicated to creating opportunities for clients and communities. They are seeking a Lead Platform Administrator to drive operational excellence and governance across the enterprise data and analytics platform, ensuring stability and scalability.
Responsibilities:
• Own day-to-day operations of the enterprise data platforms, ensuring high availability, performance, and resilience.
• Manage and optimize compute environments, including: Kubernetes-based & Databricks computes platforms.
• Ensure platform architecture is operationalized, scalable, and aligned with enterprise standards.
• Provide escalated support and troubleshooting; oversee data governance, access control, and catalog services, including external access controls such as service principals, SQL warehouses, Delta Sharing, and equivalent platform capabilities.
• Drive cost optimization, capacity planning, and performance turning across platform services.
• Ensure consistent provisioning and configuration of: Compute, networking, storage, and access layers
• Govern environment consistency across Dev / Test / Prod via automated deployment pipelines.
• Partner with engineering teams to eliminate manual operations through automation-first practices.
• Own incident management lifecycle: Detection, Triage, Resolution, Root Cause Analysis, Prevention
• Lead response to critical platform incidents and escalations.
• Establish and maintain: Runbooks, Playbooks
• Define and enforce platform DevOps standards, including CI/CD, infrastructure‑as‑code, environment promotion, and automated compliance controls across the platform ecosystem
• Support controlled promotion of assets across environments with auditability.
• Lead implementation of monitoring and observability frameworks across: Databricks , Kubernetes, APIM and equivalents platforms.
• Oversee development of dashboards, alerts, and health checks.
• Ensure proactive issue detection and preventative maintenance.
• Provide leadership and direction for associate platform engineers and administrators.
• Partners with architecture, data engineering, and governance teams to align platform operations with business priorities.
Qualifications:
Required:
• 6 years of relevant experience required; supervisory experience a plus
• Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
• Deep understanding of enterprise data, analytics, and compute platforms, including cloud data services, analytics tools, and Kubernetes environments.
• Ability to define and enforce platform standards for security, governance, automation, CI/CD, and operational excellence.
• Experience leading DevOps and platform engineering practices, including infrastructure‑as‑code and environment lifecycle management.
• Strong knowledge of cloud cost management, scalability, and reliability engineering.
• Ability to evaluate and guide adoption of emerging platform technologies.
Preferred:
• Degree in computer science preferred
Company:
CLA exists to create opportunities for our clients, our people, and our communities through industry-focused wealth advisory, outsourcing, audit, tax, and consulting services. Founded in 1998, the company is headquartered in Alpharetta, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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