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Entry Level Python Data Analysis Jobs in Pittsburgh, PA

Statistical Analysis: Proficiency in statistical methods and techniques. * SQL: Knowledge of ... Familiarity with languages like Python or R. * Data Cleaning and Preparation: Skills in data ...

Familiarity with using Python for data analysis (or equivalent language). * A strong sense of ownership * A team player * Strong verbal and written communication skills Additional Information ...

Familiarity with using Python for data analysis (or equivalent language). * A strong sense of ownership * A team player * Strong verbal and written communication skills Additional Information ...

Analyst

Pittsburgh, PA · On-site

$100K - $110K/yr

Perform data modeling and statistical analysis. * Use tools like SQL, Excel, and Python/R for analysis. * Ensure data accuracy, integrity, and consistency. * Present findings through charts, graphs ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

Develop and optimize Python-based data processing frameworks . * Work closely with data analysts and data scientists to deliver high-quality datasets. * Optimize performance and scalability of data ...

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Entry Level Python Data Analysis information

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How much do entry level python data analysis jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for entry level python data analysis in Pittsburgh, PA is $31.97, according to ZipRecruiter salary data. Most workers in this role earn between $20.53 and $35.72 per hour, depending on experience, location, and employer.

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.

What are the most commonly searched types of Python Data Analysis jobs in Pittsburgh, PA? The most popular types of Python Data Analysis jobs in Pittsburgh, PA are:
What are popular job titles related to Entry Level Python Data Analysis jobs in Pittsburgh, PA? For Entry Level Python Data Analysis jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Analysis jobs in Pittsburgh, PA look for? The top searched job categories for Entry Level Python Data Analysis jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Entry Level Python Data Analysis jobs? Cities near Pittsburgh, PA with the most Entry Level Python Data Analysis job openings:

Data Analyst

Sarian, Inc.

Pittsburgh, PA • On-site

Full-time

Re-posted 29 days ago


Job description

Role: Data Analyst
Location: Pittsburgh, PA
Onsite position
Fulltime Position
*****NO C2C****
JD
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Statistical Analysis: Proficiency in statistical methods and techniques.
  • SQL: Knowledge of Structured Query Language for database management.
  • Data Visualization Tools: Experience with tools like Tableau, Power BI.
  • Programming Languages: Familiarity with languages like Python or R.
  • Data Cleaning and Preparation: Skills in data cleaning, transformation, and quality assurance.
  • Data Modeling: Ability to design and implement data models.
  • Communication and Presentation: Strong communication and presentation skills to effectively convey findings to stakeholders.
  • Critical Thinking: Ability to analyze data, identify trends, and draw conclusions.
  • Attention to Detail: Accuracy and precision in data analysis and reporting.
  • Data Conditioning - identification of appropriate test data, conditioning of test data as necessary to meet non-functional testing requirements.
  • Data Collection and Preparation: Gathering data from various sources, cleaning and preparing it for analysis, and ensuring data quality.
  • Statistical Analysis: Performing statistical analyses to identify trends, patterns, and anomalies in the data.
  • Exploratory Data Analysis (EDA): Engaging in exploratory data analysis to gain a deeper understanding of the data and identify potential areas for further investigation.
  • Data Visualization: Creating clear and concise visualizations (charts, graphs, dashboards) to communicate data insights effectively.
  • Reporting and Presentation: Preparing reports and presentations to communicate findings to stakeholders, influencing decision-making.
  • Data Governance and Quality: Ensuring data quality, process documentation, and defining Key Performance Indicators (KPIs).
  • Database Management: Managing databases, troubleshooting data-related issues, and optimizing database performance.
  • Data Modeling: Building data models to represent and analyze data effectively.
  • Data Mining: Mining data from various sources and transforming it into usable formats.

Manikanth
Sarian Solutions, Inc.
Ph: 732-790-2266 X 105
manikanth.d@sariansolutions.com | https://www.sarianinc.com/