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Entry Level Python Data Analysis Jobs in Pennsylvania

Data Solutions Analyst

Pittsburgh, PA · On-site

$80K - $110K/yr

We help leading law firms automate case analysis, accelerate settlement decisions, and manage high ... Write and run simple scripts and queries (SQL, Python, or similar) to validate claimant data ...

Data Solutions Analyst

Pittsburgh, PA · On-site

$80K - $110K/yr

We help leading law firms automate case analysis, accelerate settlement decisions, and manage high ... Write and run simple scripts and queries (SQL, Python, or similar) to validate claimant data ...

Analyst

Pittsburgh, PA · On-site

$100K - $110K/yr

... Python/R for analysis • Ensure data accuracy, integrity, and consistency • Present findings through charts, graphs, and presentations • Collaborate with cross-functional teams (IT, business, ...

Conduct data quality analysis and provide recommendations for effective quality assurance processes ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

Conduct data quality analysis and provide recommendations for effective quality assurance processes ... Languages: SQL, Python, R * Database: Hive, Snowflake, SQL Server, Oracle, Teradata, Aurora ...

Showing results 21-40

Entry Level Python Data Analysis information

What is the difference between Entry Level Python Data Analysis vs Data Analyst?

AspectEntry Level Python Data AnalysisData Analyst
Required SkillsPython, SQL, basic statistics, data visualizationExcel, SQL, statistics, data visualization
CertificationsPython programming, data analysis coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, startups, data-driven teamsBusiness, finance, healthcare sectors
Typical TasksData cleaning, scripting in Python, creating dashboardsData reporting, analysis, presenting insights

Entry Level Python Data Analysis focuses on using Python for data manipulation and visualization, often requiring programming skills. Data Analysts may use a broader set of tools like Excel and Tableau but also perform similar data interpretation tasks. Both roles are entry-level positions in data teams, but Python skills give an edge in automation and handling larger datasets.

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The most popular types of Python Data Analysis jobs in Pennsylvania are:

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For Entry Level Python Data Analysis jobs in Pennsylvania, the most frequently searched job titles are:

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Infographic showing various Entry Level Python Data Analysis job openings in Pennsylvania as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Solutions Analyst

Pittsburgh, PA • On-site

Pattern Data
Software Development • 1 - 10 employees

$80K - $110K/yr

Full-time

Re-posted 26 days ago


Job description

Who We Are

Pattern Data is an AI-powered platform built for the complexities of mass tort litigation. We help leading law firms automate case analysis, accelerate settlement decisions, and manage high-volume inventories that were traditionally manual and time-intensive.

The problems we work on are complex and high-stakes, requiring precision, adaptability, and a deep understanding of both data and client needs.

We're a collaborative, high-ownership team that moves quickly and takes pride in solving hard problems well. People at Pattern go deep to understand the "why," build solutions that hold up, and stay focused on what drives real outcomes for our customers. We value transparency, thoughtful problem-solving, and authenticity in how we work together and we're looking for someone who's excited to contribute to a team that's actively building and improving every day.

What You'll Do

As a Data Solutions Analyst at Pattern Data, you will specialize in settlement support, becoming a trusted resource on the facets of each settlement program. You'll partner with clients and internal teams to solve data questions, build long term solutions, and validate outputs to ensure accuracy across every settlement you support. At Pattern, you will be responsible for the following:

  • Be available and responsive to client and internal requests across settlement programs
  • Become an expert on the eligibility criteria, claims data, and valuation methodology specific to each settlement to provide informed, accurate guidance and data solutions
  • Provide client and internal support on Pattern's API capabilities
  • Provide data support, translating client questions into clear, accurate answers using settlement data and platform tooling
  • Write and run simple scripts and queries (SQL, Python, or similar) to validate claimant data, calculations, and outputs
  • Perform quality checks and troubleshoot data discrepancies flagged by clients or internal teams
  • Document recurring questions and solutions to build institutional knowledge across the our settlement programs
  • Collaborate cross-functionally with litigation management, engineering, and product teams to resolve settlement-specific data issues

What You'll Bring

  • Strong analytical and problem-solving skills, with the ability to quickly learn the details of multiple settlement programs and translating them into data solutions
  • Excellent communication skills, with the ability to explain technical concepts and data findings clearly to both technical and non-technical stakeholders
  • Comfort managing multiple, sometimes competing priorities across concurrent projects
  • 1 or more years of experience working with SQL data sources, with comfort writing and debugging queries
  • Familiarity with Python or a similar scripting language for data validation and automation
  • Exceptional attention to detail and a client-first mindset, with a willingness to serve as a flexible, on-call resource across programs
  • Advanced proficiency in spreadsheet tooling i.e. Excel
  • Bachelor's degree in Economics, Data Science/Analysis, Computer Science, or a related field, or equivalent experience
  • Willingness to travel or be available outside standard business hours as settlement deadlines require
  • Experience in the legal industry is a plus

Pay Transparency Disclosure

The estimated base salary range for this role is $80,000-$110,000 per year, plus bonus and benefits.

At Pattern Data, our compensation philosophy is built around fairness, transparency, and market alignment. Base salary represents just one part of our total compensation package, which also includes performance-based incentives, comprehensive benefits, and other rewards.

Final compensation will be determined based on several factors, including skills, experience, qualifications, geographical location and internal equity across the team.

We understand that exceptional candidates bring unique backgrounds and strengths.  If the scope of the role changes during the hiring process, we'll update and communicate any adjusted range accordingly.

Pattern Data is committed to pay equity and to maintaining competitive, transparent compensation practices across all roles and teams.

Ready to meet us?

Please apply directly through our website or Linkedin. We are excited to hear from you!