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Data Management Jobs in Butler, PA (NOW HIRING)

Minimum 5 years Product manager experience * Minimum 2 Years experience with data products (Fabric, Power BI, AI Agents) * Strong working knowledge of Power BI and modern data/reporting environments ...

Data Support Lead

Tarentum, PA ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role drives process efficiency, manages backlog and project work, and partners across functions to improve data quality, scalability, and operational performance. Responsibilities: * Lead and ...

Senior HSE Engineer

Fombell, PA ยท On-site

$90 - $130/hr

Support incident and data management platforms such as Intelex and Facilex, assisting in data entry, integrity, and reporting. * Oversee Maturity planning and verification self-assessment planning ...

New

Data Engineer

Wexford, PA ยท On-site

$108K - $130K/yr

SUMMARY As a Data Engineer for our Digital Services division, you will drive the evolution of our ... Manage the transition from quick prototype to full scalable solution that supports production ...

Data Engineer

Wexford, PA

$108K - $130K/yr

SUMMARY As a Data Engineer for our Digital Services division, you will drive the evolution of our ... Manage ETL/ELT processes as code and foster a codebase that is extensible and maintainable by all ...

Provide space management and section merchandising on assigned categories and customers, including the analysis of financial data and the ability to provide space-related insights at both the account ...

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Data Management information

See Butler, PA salary details

$27.9K

$87.6K

$155.1K

How much do data management jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data management in Butler, PA is $87,578.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $113,100.00 per year, depending on experience, location, and employer.

What is data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is a data management analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

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

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What are some common challenges faced by data management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

What is data management as a job?

Data management as a job involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field often work with database systems, data governance policies, and data quality tools, requiring skills in data analysis, SQL, and sometimes certifications like CDMP or DAMA-DMBOK. The role supports organizations in making informed decisions and complying with data regulations.

What skills are needed for data management jobs?

Data management jobs require strong analytical skills, proficiency in database tools like SQL, data modeling, and knowledge of data governance and security practices. Familiarity with data management software, attention to detail, and the ability to organize large datasets are also essential. Certifications such as Certified Data Management Professional (CDMP) can enhance job prospects.

What cities near Butler, PA are hiring for Data Management jobs?

Cities near Butler, PA with the most Data Management job openings:

Infographic showing various Data Management job openings in Butler, PA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $87,578 per year, or $42.1 per hour.

Data & Analytics Product Manager

ARMADA

Wexford, PA โ€ข On-site

Full-time

Re-posted 3 days ago


Job description

This role exists to drive real business outcomes from data and analytics investments. It sits between business stakeholders and the BI/data team, ensuring the right work gets prioritized, delivered, and adopted across reporting, self-service, and emerging data products.
Today, most solutions are delivered in Power BI and Microsoft Fabric, but this will evolve over time. This is a hands-on, delivery-driven role focused on making sure things actually move forward and produce value.
This role requires someone who is comfortable forming and defending opinions on what should be built, not just managing incoming requests.
What You'll Do
Drive the Work That Matters
  • Act as the intake point for data and analytics requests (reporting, datasets, automation, AI-assisted solutions)
  • Prioritize work based on business value, urgency, and effort
  • Keep the team focused on high-impact outcomes, not just activity
Keep Delivery Moving
  • Maintain visibility into active work, blockers, and timelines
  • Step in as needed to unblock issues and keep things progressing
  • Coordinate across BI, Data Engineering, and business stakeholders
  • Ensure solutions are ready for release (data quality, validation, access, and usability)
Translate Business Needs into Action
  • Work directly with stakeholders to clarify problems and define success
  • Turn vague requests into clear direction the team can execute on
  • Align expectations on scope, tradeoffs, and timelines
Own Outcomes (Not Just Output)
  • Ensure delivered outputs (reports, datasets, automations, or AI-enabled solutions) are actually used
  • Follow up on adoption, usability, and impact
  • Adjust priorities based on what is or isn't working
Communicate Clearly and Frequently
  • Provide simple, direct updates on progress and risks
  • Make sure stakeholders always know what's happening and why
  • Act as the single point of contact for active workstreams
What Success Looks Like
  • The right work is getting done at the right time
  • Data and analytics solutions are used and delivering value
  • Stakeholders feel informed, supported, and aligned
  • The team is productive without heavy process overhead
  • Fewer escalations, surprises, and rework
What You Bring
  • Minimum 5 years Product manager experience
  • Minimum 2 Years experience with data products (Fabric, Power BI, AI Agents)
  • Strong working knowledge of Power BI and modern data/reporting environments (required)
  • Experience delivering data or analytics solutions (reports, datasets, automation, or AI-enabled tools)
  • Demonstrated product-oriented thinking
  • Forms clear opinions on what should (and should not) be built
  • Focuses on outcomes, not just requirements intake
  • Comfortable making tradeoffs and pushing back when needed
  • Proven ability to collaborate effectively with both technical teams and business stakeholders to drive meaningful outcomes
  • Ability to prioritize effectively in ambiguous environments
  • Bias toward action and progress over perfection
  • Clear, practical communication style
  • Bachelor's degree or equivalent practical experience
Nice to Have
  • Familiarity with Microsoft Fabric or similar platforms
  • Experience with analytics, automation, or AI-related products in enterprise environments
What This Role Is
  • A delivery-focused role blending coordination, prioritization, and light product thinking
  • A bridge between business needs and technical execution
  • A driver of clarity, momentum, and accountability
What This Role Is Not
  • Not a project manager focused only on timelines and tracking
  • Not a developer role expected to build every solution personally

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.