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Python Data Analyst Jobs in Pennsylvania (NOW HIRING)

The Hartford

Investment Data Analyst

Wayne, PA

$70K - $90K/yr

Experience working with structured data using a modern scripting language, preferably R, Python, SQL or SAS. Compensation The listed annualized base pay range is primarily based on analysis of ...

ParetoHealth

Lead Data Analyst

Philadelphia, PA · Remote

Working knowledge of Python or R for analysis and data wrangling (advanced modeling not required) * Experience working with data from CRM systems, e.g., Salesforce * Familiarity with underwriting and ...

Nuuly

Nuuly Senior Data Analyst

Philadelphia, PA · On-site

$79K - $99K/yr

Understand & analyze data via Google BigQuery (SQL), Looker, & Python. * Work with cross-functional partners to understand the intent behind business questions and translate into thoughtful analytics ...

Nuuly

Nuuly Senior Data Analyst

Philadelphia, PA · On-site

$79K - $99K/yr

Understand & analyze data via Google BigQuery (SQL), Looker, & Python. * Work with cross-functional partners to understand the intent behind business questions and translate into thoughtful analytics ...

Clark Associates

Financial Data Analyst

Lititz, PA · On-site +1

$65K - $75K/yr

Job Summary Clark Associates is seeking a driven and detail-oriented Financial Data Analyst to join ... Proficiency in Python, Power Automate, and Excel VBA (nice to have) * Experience leveraging AI ...

Vangard, Inc.

Data Analyst, Specialist

Malvern, PA · On-site

Workswith digital,behavioral,and clickstream data to understand customer interactions across ... Strong SQL and Python skills with experience analyzing large-scale structured and behavioral ...

DHL

Business Data Analyst I

Mechanicsburg, 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 ...

DPDHL

Business Data Analyst I

Mechanicsburg, 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

DPDHL

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 ...

Tata Consultancy Service Limited

Analyst

Pittsburgh, PA · On-site

$100K - $110K/yr

Experience with data visualization tools (Power BI, Tableau). * Basic programming knowledge (Python or R). * Strong analytical and problem-solving abilities. * Good communication and presentation ...

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Python Data Analyst information

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$34.1K

$82.8K

$136.3K

How much do python data analyst jobs pay per year?

As of Jun 25, 2026, the average yearly pay for python data analyst in Pennsylvania is $82,839.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,600.00 and $97,200.00 per year, depending on experience, location, and employer.

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

What is the difference between Python Data Analyst vs Data Scientist?

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
More about Python Data Analyst jobs
What are the most commonly searched types of Python Data Analyst jobs in Pennsylvania? The most popular types of Python Data Analyst jobs in Pennsylvania are:
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What job categories do people searching Python Data Analyst jobs in Pennsylvania look for? The top searched job categories for Python Data Analyst jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Python Data Analyst jobs? Cities in Pennsylvania with the most Python Data Analyst job openings:
Python Data Analyst jobs near you
Infographic showing various Python Data Analyst job openings in Pennsylvania as of June 2026, with employment types broken down into 2% Internship, 67% Full Time, 11% Part Time, 17% Contract, and 3% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,839 per year, or $39.8 per hour.
Investment Data Analyst

Investment Data Analyst

The Hartford

Wayne, PA

$70K - $90K/yr

Full-time

Posted yesterday

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

52nd of 261 rated insurance

Job description

Data Analyst - 87IB6E

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

Overview of the role: The primary duties of the Investment Data Analyst is to drive and enhance data automation within Hartford Funds Investment Management Group. The Investment Analyst must achieve and maintain an expert knowledge of the firm's product line and the Asset Management Industry.

The successful candidate will possess the capacity to leverage a deep industry knowledge with a strong analytical background. The role will focus on centralizing all consumable data required by the team, which will contribute to maintaining a high level of data consistency and accuracy across the team and firm. In addition, the candidate should be a nimble learner who continuously seeks process enhancements.


Responsibilities of the role:

  • Maintain and enhance existing reporting functions by leveraging the in-house Data Warehouse and AI tools where applicable
  • Serve as the Investment Management Group data steward for the Data Warehouse
  • Serve as the main point of contact for standardizing and automating reporting across the team
  • Handle data requests from within and outside of the team including support of sales, marketing, and senior leadership
  • Work with IT to ensure a high level of quality for internal and external data
  • Work with IT to manage data processes among software vendors, internal data warehouse, and data providers
  • Oversee the maintenance and ongoing development of the Investment Research Library (SharePoint)
  • Produce and maintain Performance and Performance Attribution reports
  • Assist in preparing and manipulating data sets for potential file feed transmissions through AI

Qualifications:

  • Bachelor's Degree in Finance, Business Analytics, Statistics, Mathematics, or Computer Science required
  • Flexible and able to accept, create and manage change
  • Ability to work well independently and within a team
  • An eagerness to identify and implement process improvement opportunities
  • Interest in creative resolutions to complex assignments
  • Excellent communication skills
  • Strong organizational and prioritization skills
  • Experience with data visualization tools such as Tableau or PowerBI
  • Proficient in Microsoft Office, specifically Excel. Visual Basic (VBA) experience a plus
  • Working knowledge of Morningstar, Lipper, Bloomberg or Factset an advantage
  • Experience working with structured data using a modern scripting language, preferably R, Python, SQL or SAS.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$70,000 - $90,000

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits

What The Hartford employees say

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Hours and flexibility

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About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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