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Contract Python Data Analysis Jobs in Bethlehem, PA

What We Look For In a Data Analysis Tutor * Advanced Subject Mastery: Deep knowledge of data ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

DHL Supply Chain is seeking a Business Data Analyst I who thrives on solving complex problems and ... as Python or R) to query, clean, and transform data, required • Proficiency in Power BI ...

New

Business Data Analyst I

Bethlehem, PA · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

New

Business Data Analyst I

Bethlehem, PA · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

... data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Contract Attorney

Allentown, PA · Remote

$40 - $60/hr

... data analysis and visualization. Your work directly contributes to refining intelligent systems ... Contract law * Securities law * Bankruptcy law * Alternative dispute resolution Benefits: * You'll ...

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Contract Python Data Analysis information

See Bethlehem, PA salary details

$13

$57

$85

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

As of May 29, 2026, the average hourly pay for contract python data analysis in Bethlehem, PA is $57.92, according to ZipRecruiter salary data. Most workers in this role earn between $47.74 and $65.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Contract Python Data Analyst, and why are they important?

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What are some common challenges faced by contract Python Data Analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

What are Contract Python Data Analysis jobs?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Bethlehem, PA? The most popular types of Python Data Analysis jobs in Bethlehem, PA are:
What job categories do people searching Contract Python Data Analysis jobs in Bethlehem, PA look for? The top searched job categories for Contract Python Data Analysis jobs in Bethlehem, PA are:
What cities near Bethlehem, PA are hiring for Contract Python Data Analysis jobs? Cities near Bethlehem, PA with the most Contract Python Data Analysis job openings:
Infographic showing various Contract Python Data Analysis job openings in Bethlehem, PA as of May 2026, with employment types broken down into 1% Internship, 3% As Needed, 83% Full Time, 10% Part Time, and 3% Contract. Highlights an 43% Physical, 14% Hybrid, and 43% Remote job distribution, with an average salary of $120,479 per year, or $57.9 per hour.

Full-time

Posted 12 days ago


Job description

Overview:
We are seeking a detail-oriented Technical Data Analyst to interpret complex data, analyze results, and deliver actionable insights that support informed decision-making across the organization. This role works closely with IT and business stakeholders, particularly within Property & Casualty (P&C) insurance, to understand data needs, assess existing data assets, and present findings in a clear, concise, and business-relevant manner.
The ideal candidate will have strong hands-on experience with Python, MySQL, Agile delivery, and deep domain knowledge in Claims Management and Commercial Lines Policy Administration.
• Key Responsibilities
Data Analysis & Insights
  • Analyze large, complex datasets to identify trends, patterns, and insights that support business decisions
  • Interpret data related to Property & Casualty insurance, including claims and policy data
  • Validate data accuracy, consistency, and completeness across multiple data sources
  • Develop data summaries, dashboards, and reports for technical and non-technical audiences
Stakeholder Collaboration
  • Partner with IT, business, and product stakeholders to gather and understand data and reporting requirements
  • Review existing data assets and recommend improvements or new analytical approaches
  • Translate business requirements into technical data analysis solutions
  • Present findings and recommendations in a clear, concise, and actionable format
Technical & Tools
  • Use Python for data analysis, automation, and data transformation
  • Write and optimize MySQL queries for data extraction, analysis, and validation
  • Work with structured datasets from enterprise systems related to Claims Management and Policy Administration
  • Support data analysis activities within Agile/Scrum environments
Governance & Quality
  • Ensure adherence to data standards, best practices, and governance policies
  • Document data definitions, assumptions, logic, and analytical methodologies
  • Support continuous improvement initiatives by identifying data gaps and process inefficiencies
• Required Skills & Experience
Core Experience
  • 8-10 years of experience as a Data Analyst / Technical Data Analyst
  • Strong experience working with enterprise data environments
  • Proven experience delivering insights in SLA-driven, business-critical environments
Technical Skills
  • Python - data analysis, scripting, automation
  • MySQL - advanced querying, performance optimization
  • Experience working in Agile (Scrum/Kanban) delivery models
  • Strong understanding of data structures, data validation, and analysis techniques
Domain Expertise (Mandatory)
  • Claims Management - Property & Casualty
  • Policy Administration - Commercial Lines
  • Strong understanding of insurance data models, workflows, and business processes
Soft Skills
  • Excellent written and verbal communication skills
  • Strong analytical and problem-solving abilities
  • Ability to work independently and collaboratively with cross-functional teams
  • Detail-oriented with a strong focus on data accuracy and quality