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Python Data Analyst Jobs in Philadelphia, PA (NOW HIRING)

Data Analytics Analyst

Burlington, NJ · Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Data Analytics Analyst

Burlington, NJ · Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

Data Analytics Analyst

Burlington, NJ · Hybrid

$69K - $103K/yr

Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and ...

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

Senior Data Analyst

Moorestown, NJ · On-site

$96K - $164K/yr

We are currently seeking a Senior Data Analyst to join our teamin Moorestown, NJ. Responsibilities ... Hands-on experience with PyTorch and related Python libraries * Experience with unsupervised ...

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Python Data Analyst information

See Philadelphia, PA salary details

$34.3K

$83.4K

$137.2K

How much do python data analyst jobs pay per year?

As of Jun 20, 2026, the average yearly pay for python data analyst in Philadelphia, PA is $83,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 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.
What are popular job titles related to Python Data Analyst jobs in Philadelphia, PA? For Python Data Analyst jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Python Data Analyst jobs in Philadelphia, PA look for? The top searched job categories for Python Data Analyst jobs in Philadelphia, PA are:
Data Analytics Analyst

Data Analytics Analyst

Canon U.S.A., Inc.

Burlington, NJ • Hybrid

$69K - $103K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Canon U.S.A. rating

7.6

Company rating: 7.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

66th of 139 rated electronics manufacturers


Job description

About the RoleCanon USA in Melville, NY is currently seeking a Data Analytics Analyst (Analyst, Data Analytics). As a Data Analyst within the Revenue Operations team, you will serve as a vital technical link between product planning, strategic pricing, and sales execution for direct sales. This role is specialized within the RevOps ecosystem: you will focus on internal business unit reporting, program utilization, pricing efficacy, and deep-dive business analytics to drive informed decision-making. Success in this role requires a candidate who understands the B2B sales cycle and how Salesforce.com (SFDC) serves as the backbone of sales reporting. While you will manage essential workflows involving legacy enterprise systems, you will also be a primary architect for our future reporting landscape in Looker Studio, Microsoft Fabric and Power BI. You will play a key role in our department's digital transformation. We value technological agility and look for candidates who leverage modern tools-including Generative AI (GenAI)-to accelerate coding, automate manual processes, and navigate complex data environments.   This position is full time and offers a hybrid work schedule requiring you to be in the office Monday, Tuesday and Wednesday and an option to work from home the remainder of the week (unless a specific business need arises requiring in office attendance on other days).  Note that work schedules and office reporting requirements may change from time to time based on business needs.Your Impact1. Business Strategy & Profitability Analytics - Customer Segmentation: Analyze and define our customer base to identify "Who are our customers?" and categorize them by behavior, size, and loyalty - Profitability Modeling: Perform deep-dive analysis into sales data to identify which customers and accounts yield the highest profit margins - Vertical Performance: Track and report on Gross Profit (GP) by Vertical, identifying trends in specific industries to help leadership pivot strategy - Predictive Insights: Use historical data to forecast which programs or product mixes will drive the most significant ROI for the direct sales force 2. Strategic Pricing & Business Intelligence - Reporting Architecture: Own and evolve the Power BI reporting suite that supports all business units - Financial Modeling: Analyze internal program usage (credit/discount programs) and perform ROI modeling to identify business opportunities - Executive Summaries: Consolidate data from disparate sources to provide "big picture" summaries and storytelling for Product Planning and Strategic Pricing leadership 3. Data Engineering & Workflow Automation - Technical Stack: Use SQL and Python to extract, consolidate, and analyze data from disparate sources - Process Automation: Utilize Google Apps Script and other automation tools to streamline data collection and bridge gaps between Google Workspace and Microsoft-based legacy tools - AI-Augmented Productivity: Leverage Generative AI tools to assist in writing/debugging code (SQL/Python/Apps Script) and documenting complex legacy workflows 4. Sales Ecosystem Integration - CRM & Sales Cycle Alignment: Apply an understanding of the B2B sales cycle and Salesforce.com (SFDC) to ensure that item codes, pricing logic, and reporting structures align with field sales requirements About You: The Skills & Expertise You Bring- Bachelor's degree in a relevant field or equivalent experience required, plus 3 to 5 years of related experience - Technical Proficiency: - Data Tools: Strong proficiency in SQL and Python for data manipulation - Visualization: Experience building advanced reports in Power BI (specifically for GP and Vertical analysis), Looker experience a plus - Modern Ecosystems: Familiarity with Microsoft Fabric and Google Apps Script and bridging Google/Microsoft environments - Systems: Working knowledge of Salesforce.com (SFDC) and legacy ERP environments - Business Acumen: - Strong Financial Literacy, specifically in calculating Gross Profit, ROI, and margin analysis - Solid understanding of B2B sales cycle and customer segmentation strategies - Experience: 3 to 5 years in a highly technical Data or Revenue Operations role. Experience in a product/solutions sales environment is highly preferred - GenAI Literacy: Familiarity with using Generative AI platforms to optimize technical workflows - Detail Orientation: Extreme attention to detail is required   We are providing the anticipated salary range for this role: $69,300 - $103,770 annuallyCompany OverviewAbout our Company - Canon U.S.A., Inc., is a leading provider of consumer, business-to-business, and industrial digital imaging solutions to the United States and to Latin America and the Caribbean markets. With approximately $28.5 billion in global revenue, its parent company, Canon Inc., as of 2024 has ranked in the top-10 for U.S. patents granted for 41 consecutive years. Canon U.S.A. is dedicated to its Kyosei philosophy of social and environmental responsibility. To learn more about Canon, visit us at www.usa.canon.com and connect with us on LinkedIn at https://www.linkedin.com/company/canonusa.

Who We Are

Where Talent Fosters Innovation. Do you want your next professional experience to be filled with purpose and opportunity, world-class team members, and impactful work? Driven by our mission of exceeding customer expectations with our technologies and enriching the lives of our local communities and staff, we are a phenomenal team working collaboratively toward common goals. Our employees have a strong work ethic, creativity, and a cooperative spirit. We believe in integrity, respect, empowerment, and making a difference in the communities we serve. There is a strong sense of pride in what we do individually and together as a team. Join us and discover what it means to work for a global digital imaging leader with an unparalleled reputation for quality and innovation.

What We Offer

You'll be joining a leader in digital imaging and innovation with an immense opportunity to make an impact and create your own rewarding career. We demonstrate commitment to our employees by offering a full range of rewards, including competitive compensation and benefits.

And Even More Perks!

-Employee referral bonus -Employee discounts -"Dress for Your Day" attire program (casual is welcome, based on your job function) -Volunteer opportunities to give back to our local community -Swag! A Canon welcome kit and official merch you can't get anywhere else Based on weekly patent counts issued by United States Patent and Trademark Office. All referenced product names, and other marks, are trademarks of their respective owners. Canon U.S.A., Inc. offers a competitive compensation package including medical, dental, vision, 401(k) Savings Plan, discretionary profit sharing, discretionary success sharing, educational assistance, recognition programs, vacation, and much more. A more comprehensive list of what we have to offer is available at https://www.usa.canon.com/about-us/life-at-canon/benefits-and-compensation We comply with all applicable federal, state and local laws, regulations, orders and mandates, including those we may be required to follow as a federal government contractor/subcontractor. You must be legally authorized to work in the United States. The Company will not pursue or support visa sponsorship. All applicants must reside in the United States at the time of hire. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are not reviewing this job posting on our Careers' site https://www.usa.canon.com/about-us/life-at-canon, we cannot guarantee the validity of this posting. For a list of our current postings, please visit us at https://www.usa.canon.com/about-us/life-at-canon. #CUSA Workstyle DescriptionHybrid - This position is full time and offers a hybrid work schedule requiring you to be in the office three days a week and an option to work from home the remainder of the week (unless a specific business need arises requiring in office attendance on other days). Note that work schedules and office reporting requirements may change from time to time based on business needs.Posting Tags#PM19 #LI-AV1 #LI-HYBRIDQualifications:- Bachelor's degree in a relevant field or equivalent experience required, plus 3 to 5 years of related experience- Technical Proficiency:- Data Tools: Strong proficiency in SQL and Python for data manipulation- Visualization: Experience building advanced reports in Power BI (specifically for GP and Vertical analysis), Looker experience a plus- Modern Ecosystems: Familiarity with Microsoft Fabric and Google Apps Script and bridging Google/Microsoft environments- Systems: Working knowledge of Salesforce.com (SFDC) and legacy ERP environments- Business Acumen:- Strong Financial Literacy, specifically in calculating Gross Profit, ROI, and margin analysis- Solid understanding of B2B sales cycle and customer segmentation strategies- Experience: 3 to 5 years in a highly technical Data or Revenue Operations role. Experience in a product/solutions sales environment is highly preferred- GenAI Literacy: Familiarity with using Generative AI platforms to optimize technical workflows- Detail Orientation: Extreme attention to detail is requiredWe are providing the anticipated salary range for this role: $69,300 - $103,770 annuallyEmployment Type: OTHER

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