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Remote Python Data Analysis Jobs in McDonald, PA

Perform data validation, testing, and root cause analysis to ensure data quality and resolve issues ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Perform data validation, testing, and root cause analysis to ensure data quality and resolve issues ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Data Engineer

Pittsburgh, PA · Remote

$117.20K - $140.70K/yr

Our data analytics advisory services enable our customers to transform data into insights by ... Python or Java experience is a plus Knowledge, Skills, and Abilities: * BI/Data Warehousing (4+ ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117.20K - $140.70K/yr

Our data analytics advisory services enable our customers to transform data into insights by ... Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native ...

Data Engineer

Pittsburgh, PA · On-site +1

$111.20K - $133.50K/yr

Our data analytics advisory services enable our customers to transform data into insights by ... Python or Java experience is a plus Knowledge, Skills, and Abilities: * BI/Data Warehousing (4+ ...

OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

New

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111.20K - $133.50K/yr

Our data analytics advisory services enable our customers to transform data into insights by ... Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud-native ...

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Remote Python Data Analysis information

See McDonald, PA salary details

$12

$56

$83

How much do remote python data analysis jobs pay per hour?

As of May 29, 2026, the average hourly pay for remote python data analysis in McDonald, PA is $56.72, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $64.42 per hour, depending on experience, location, and employer.
What cities near McDonald, PA are hiring for Remote Python Data Analysis jobs? Cities near McDonald, PA with the most Remote Python Data Analysis job openings:
Infographic showing various Remote Python Data Analysis job openings in McDonald, PA as of May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $117,983 per year, or $56.7 per hour.
Data Analyst

Data Analyst

Data Ideology

Pittsburgh, PA • Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago


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
Job Type: Full-Time, 6-Month Fixed-Term (Renewable)
This is a full-time position with an initial 6-month term. Employment may be extended based on business needs and performance but is not guaranteed.

We are seeking a Data Analyst to join our growing team. In this role, you will combine business and technical expertise to support a cloud data warehouse migration, partnering with cross-functional teams to analyze data, define requirements, and deliver scalable data solutions.
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.

  • Analyze source systems and data warehouse structures to support transformation into new data products, including performing gap analysis and identifying data requirements
  • Write and execute SQL queries to explore, validate, and interpret data across systems with limited documentation
  • Translate complex data logic into clear insights for both technical and non-technical stakeholders, including identifying edge cases and validating business rules
  • Support ETL processes and collaborate with developers and stakeholders to ensure solutions align with business needs and are feasible
  • Perform data validation, testing, and root cause analysis to ensure data quality and resolve issues
  • Contribute to proof-of-concepts, test case development, and scalable validation approaches for complex datasets
  • Partner with cross-functional teams to prioritize work, present findings, and support data storytelling through reports, visualizations, and diagrams
  • Document data mappings, definitions, and standard processes to support ongoing development and maintenance
Supervisory Responsibilities: None
Qualifications
Education and Experience:
Education and Experience:
  • Bachelor’s degree in Computer Science, a related field, or equivalent experience
  • 2+ years of experience writing SQL queries and/or stored procedures, with the ability to work independently on data exploration
  • 3+ years of experience performing data analysis within a data warehouse environment (e.g., Oracle, SQL Server, Snowflake)
  • Experience working with cloud-based data platforms (e.g., Snowflake, Azure SQL) preferred
  • Experience querying and analyzing semi-structured or non-relational data (e.g., JSON) preferred
  • Familiarity with Agile development methodologies
  • Healthcare industry 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.

Benefits: Eligible for Medical, Dental, Vision, 401(k) and flexible time off in accordance with company policies.
Data Ideology is an EEO Employer
 

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