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Data Analytics Jobs in Washington, PA (NOW HIRING)

Data Ideology

Data Analyst

Pittsburgh, PA · Remote

Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated ...

New

Data Ideology LLC

Data Analyst

Pittsburgh, PA · On-site +1

Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated ...

New

F.N.B. Corporation

Data Analytics Engineer 2

Pittsburgh, PA · On-site

$111K - $133K/yr

Proficient in banking and financial analytical data modeling (conceptual, logical, & physical) with hands on demonstrative experience designing and building with entity relational modeling ...

Fnbcorp

Data Analytics Engineer 2

Pittsburgh, PA

$111K - $133K/yr

Proficient in banking and financial analytical data modeling (conceptual, logical, & physical) with hands on demonstrative experience designing and building with entity relational modeling ...

New

Workiva

Spring 2027 Intern - Data Analytics

Wheeling, WV · On-site

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

Workiva

Spring 2027 Intern - Data Analytics

Wheeling, WV · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development priorities for Wdesk after gathering market data * Analyze use of Wdesk by current customers in the EU ...

System One

Data Analyst

Pittsburgh, PA · On-site

... data, analytics, and information management initiatives within the healthcare payer domain. The ideal candidate will partner with both business and technical teams to deliver scalable analytical ...

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All JobsData Analytics JobsData Analytics Jobs in Washington, PA

Data Analytics information

See Washington, PA salary details

$22

$50

$87

How much do data analytics jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data analytics in Washington, PA is $50.87, according to ZipRecruiter salary data. Most workers in this role earn between $40.87 and $57.64 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are popular job titles related to Data Analytics jobs in Washington, PA?

For Data Analytics jobs in Washington, PA, the most frequently searched job titles are:

What cities near Washington, PA are hiring for Data Analytics jobs?

Cities near Washington, PA with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Washington, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $105,818 per year, or $50.9 per hour.

Data Analyst

Data Ideology

Pittsburgh, PA • Remote

Other

Posted 2 days ago

New

Job description

Data Ideology 
At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious.  For more information about Data Ideology, visit www.dataideology.com  
 

Data Analyst– Contract

We are looking for Data Analyst to join our growing team. A Data Analyst will leverage their business and technical knowledge to organize and manage deliverables in a data warehouse consolidation and business intelligence implementation project, while also working with business and technical teams to understand business strategy and objectives, gather information, and ensure business requirements are being fulfilled throughout the entire data & analytics lifecycle. 
Key Responsibilities
To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.

  • Data Analysis and Interpretation:
    • Conduct in-depth analysis using the data warehouse to identify trends, patterns, and insights.
    • Interpret complex data sets and communicate findings to both technical and non-technical stakeholders.
  • Data Extraction and Transformation:
    • Assist with ETL processes to extract, transform, and load data from various sources.
    • Collaborate with IT teams to create seamless data integrations.
  • Quality Assurance and Testing
    • Perform thorough data validation and testing to ensure the highest possible data quality.
    • Clearly define and communicate when quality standards are not being met.
  • Problem Solving
    • Perform root cause analysis to identify the underlying or fundamental causes of an issue or problem.
    • Demonstrate ability to offer suggestions and solutions to remedy issues and promote sustainability.
  • Collaboration and Communication:
    • Work closely with cross-functional teams, including IT and business stakeholders, to align on goals and key deliverables.
    • Effectively prioritize tasks to meet established team goals.
  • Documentation:
    • Accurately document data mappings and definitions.
    • Outline standard processes and procedures of core activities
Supervisory Responsibilities: None
Qualifications
Education and Experience:
Education and Experience:
  • Bachelor’s degree in healthcare or computer science related field preferred, but not necessary.
  • 2+ years’ experience with any programming language (SQL, PLSQL, R, Python, etc)
  • 2+ years’ experience in data analytics on any data warehouse (Oracle, SQL, Snowflake)
  • Healthcare experience a plus
  • Agile/SAFe experience a plus
Work Environment:
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands:
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

Data Ideology is an EEO Employer
 

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