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Data Analysis Specialist Jobs (NOW HIRING)

PPG

Data Analysis Specialist

Pittsburgh, PA

We are seeking a Data Analyst Specialist to build and enhance our analytics platform with a strong emphasis on modern application development and cloud-based solutions. This role combines data ...

Guidehouse

FM Data Analysis Specialist

Mclean, VA · On-site

This role will support cleansing, analysis, and documentation over FM budget execution data via tools such as Tableau and PowerBI. IN this role, you will perform analysis and prepare insights over ...

Guidehouse

FM Data Analysis Specialist

Mclean, VA · On-site

This role will support cleansing, analysis, and documentation over FM budget execution data via tools such as Tableau and PowerBI. IN this role, you will perform analysis and prepare insights over ...

CFS

FP&A Specialist

Hartford, CT · Hybrid

FP&A Specialist Hartford, CT (Hybrid) $100,000 - $130,000 + bonus Why This Opportunity Stands Out ... Opportunity to lead Power BI reporting, data modeling, and dashboard innovation * Work on cutting ...

CFS

FP&A Specialist

Hartford, CT · Hybrid

FP&A Specialist Hartford, CT (Hybrid) $100,000 - $130,000 + bonus Why This Opportunity Stands Out ... Opportunity to lead Power BI reporting, data modeling, and dashboard innovation * Work on cutting ...

Humetis Group

Data Analytics Specialist

Burlington, MA · On-site

Data Analytics Specialist Location: Burlington, MA Duration: 2-Month Contract Position Overview: We ... The position also supports marketing efforts, including promotional campaign analysis and CRM ...

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Data Analysis Specialist information

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$33K

$81.5K

$140K

How much do data analysis specialist jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data analysis specialist in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What are some common challenges Data Analysis Specialists face when working with large datasets, and how can they be addressed?

Data Analysis Specialists often encounter challenges such as data quality issues, inconsistent formats, and slow processing times when handling large datasets. Addressing these challenges typically involves thorough data cleaning, leveraging automated scripts, and using specialized tools like SQL, Python, or data visualization software. Collaborating closely with data engineers and IT teams also helps ensure data integrity and efficient workflow. Staying up-to-date on best practices and continuously improving technical skills are key to overcoming these obstacles.

What does a Data Analysis Specialist do?

A Data Analysis Specialist is responsible for collecting, processing, and interpreting large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from complex data sources. Their work often involves cleaning and organizing data, creating reports, and presenting findings to stakeholders in a clear and actionable way. Data Analysis Specialists play a critical role in supporting business strategies and improving operational efficiency.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a Data Analysis Specialist involves interpreting complex data, providing insights, and making strategic recommendations that require human judgment. While AI enhances efficiency, human expertise remains essential for understanding context, communicating findings, and making nuanced decisions. Therefore, AI is a complement rather than a complete replacement for data analysts.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analysis specialist. Many professionals successfully transition into data analysis later in their careers by developing skills in statistics, programming (such as Python or R), and data visualization tools. Employers value experience and skills over age, and continuous learning can help you stay competitive in the field.

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

To thrive as a Data Analysis Specialist, you need strong analytical skills, a solid understanding of statistics, and a relevant degree in fields like mathematics, computer science, or economics. Proficiency in data analysis tools such as SQL, Excel, Python, and visualization platforms like Tableau or Power BI is typically required. Attention to detail, critical thinking, and effective communication are important soft skills for interpreting data and presenting insights clearly. These skills and qualities are essential for making informed business decisions and driving organizational success through data-driven strategies.

What are the top 3 skills for a data analyst?

A data analysis specialist needs strong analytical skills to interpret data accurately, proficiency in tools like Excel, SQL, or Python for data manipulation, and good communication skills to present findings clearly. Knowledge of statistical methods and data visualization is also essential for effective analysis and reporting.

What is a data analyst specialist?

A data analysis specialist is a professional who collects, processes, and interprets large datasets to help organizations make informed decisions. They often use tools like Excel, SQL, and data visualization software, and may hold certifications such as Certified Analytics Professional (CAP).
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Data Analysis Specialist jobs near you
Infographic showing various Data Analysis Specialist job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.
Data Analysis Specialist

Data Analysis Specialist

PPG Industries, Inc.

Pittsburgh, PA • On-site

Full-time

Posted 20 days ago

Job description

We are seeking a Data Analyst Specialist to build and enhance our analytics platform with a strong emphasis on modern application development and cloud-based solutions. This role combines data analytics expertise with full-stack development, including Angular front-end and backend development using .NET and Node.js, along with Azure cloud technologies. The focus is on delivering scalable, user-friendly analytics applications, with traditional BI reporting (e.g., Power BI) playing a secondary role. This is a hybrid role at our PPG headquarters in Pittsburgh, PA and will report to the IT Manager, Refinish.
Key Responsibilities
  • Application & Full-Stack Development (30%)
    • Develop and maintain web applications using Angular for front-end experiences
    • Build backend services and APIs using .NET and/or Node.js
    • Design and implement scalable, maintainable application architectures
    • Collaborate with data and platform teams to integrate APIs and data services
  • Cloud & Azure Development (30%)
    • Design, develop, and deploy solutions in Microsoft Azure
    • Build and maintain cloud-based application and data services
    • Contribute to architecture decisions, scalability, and performance optimization
  • Data Analytics & Modeling (30%)
    • Analyze customer and operational data to generate actionable insights
    • Design and optimize data models and transformations
    • Write and optimize SQL queries for analytics and reporting needs
    • Ensure data integrity and consistency across systems
  • Business Collaboration & Requirements Gathering (10%)
    • Partner with stakeholders to understand data and application requirements
    • Translate business needs into technical designs and development tasks
    • Present insights and solutions to business users

Qualifications
  • 3+ years of experience in data analytics, software development, or hybrid roles
  • Experience with Power BI or other BI tools
  • Ability to bridge application development and data disciplines
  • Experience with Angular (or a similar modern front-end framework)
  • Experience with backend development using .NET and/or Node.js
  • Experience with Microsoft Azure services (App Services, Functions, Storage, etc.)
  • Strong SQL and data querying skills
  • Experience with APIs, REST services, and system integration
  • Understanding of data modeling and analytics concepts
  • Experience with cloud data platforms, data lakes, or data pipelines, is a plus
  • Familiarity with customer analytics and operational reporting, is a plus

How we work: At PPG, we bring teams together to accelerate collaboration and career development, with in-person work Monday through Thursday and the opportunity to work remotely on Flexible Fridays. Schedules may vary by location.
About us:
PPG: WE PROTECT AND BEAUTIFY THE WORLD™
Through leadership in innovation, sustainability and color, PPG helps customers in industrial, transportation, consumer products, and construction markets and aftermarkets to enhance more surfaces in more ways than does any other company. To learn more, visit www.ppg.com and follow @PPG on X.
The PPG Way 2030
We are customer champions
Proactive. Bold. Trustworthy. Everything we do starts with our customers. We listen, move fast and don't stop until we solve their biggest challenges. When our customers win, we all grow.
We act with purpose and speed
Agile. Data-driven. Empowered. We take smart risks to stay ahead of the competition. We work proactively with agility, using quality data to develop solutions that create value.
We are excellent operators
Productive. Collaborative. Accountable. No matter our role, we identify problems, take ownership and always bring solutions. We are both proactive and responsive to drive continuous improvement and deliver results. We support our frontline, the faces of PPG to our customers.
We compete to win
Future-focused. Driven. Ambitious. We are passionate about growing our business and winning with our customers. We deliver results, embrace new technologies and leverage agility and speed as strengths.
We are PPG proud
Strong. United. Passionate. We work safely, act with integrity and value our diverse perspectives. We celebrate achievements and take pride in the positive impact we create together to protect and beautify the world.
At PPG we use AI in the hiring process to make the process more efficient. AI tools do not make hiring decisions. You can learn more by going to https://careers.ppg.com/us/en/candidate-resources.
PPG provides equal opportunity to all candidates and employees. We offer an opportunity to grow and develop your career in an environment that provides a fulfilling workplace for employees, creates an environment for continuous learning, and embraces the ideas and diversity of others. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, color, creed, religion, national origin, age, disability status, marital status, veteran status, sexual orientation, gender identity or expression.
If you need an adjustment due to a disability, please email recruiting@ppg.com.
PPG pay ranges and benefits can vary by location which allows us to compensate employees competitively in different geographic markets. PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs. Other incentives may apply.
Our employee benefits programs are designed to support the health and well-being of our employees. Any insurance coverages and benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents. Benefits will be discussed with you by your recruiter during the hiring process.
PPG values your feedback on our recruiting process. We encourage you to visit Glassdoor.com and provide feedback on the process, so that we can do better today than yesterday.

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