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Python Data Analysis Jobs in Delaware (NOW HIRING)

... analysis). • 6 + years of experience with modern data science tools (ex: SQL, AWS, Python ... current AI tools (ex: Copilot, Claude), and familiarity with quantitative techniques (ex ...

Data Engineer

Wilmington, DE · On-site

$111.10K - $133.40K/yr

... analysis for good performance. Experience working with python or Scala, Spark, Hadoop, Hive, Oozie, Sqoop, HDFS, Impala, Shell Scripts, Microsoft Azure Services like ADLS/Blob Storage solutions ...

New

... analysis and reporting. * Serve as a subject matter expert on integrating technical tools with ... Experience with tools such as Power BI, Python, SQL, Tableau, snowflake, or Azure ML. * Knowledge ...

As a Data Operations Analyst within the Client Reporting and Reference Data organization, you will ... Experience with at least one data technology (e.g., SQL, Python, Alteryx) and understanding of ...

Data Science Analyst Locations: Wilmington, DE (Hybrid) As an Associate Data Science Analyst, you ... Experience in use of open-source machine learning libraries (Python or R). * Innovative and capable ...

As a Data Operations Analyst within the Client Reporting and Reference Data organization, you will ... Experience with at least one data technology (e.g., SQL, Python, Alteryx) and understanding of ...

Analyze complex data sets to identify patterns and trends that will drive business growth ... Experience with SQL, Python, R, or other programming languages commonly used in analytics.

Analyze complex data sets to identify patterns and trends that will drive business growth ... Experience with SQL, Python, R, or other programming languages commonly used in analytics.

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How much do python data analysis jobs pay per hour?

As of May 31, 2026, the average hourly pay for python data analysis in Delaware is $58.67, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $66.63 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.
What are the most commonly searched types of Python Data Analysis jobs in Delaware? The most popular types of Python Data Analysis jobs in Delaware are:
What are popular job titles related to Python Data Analysis jobs in Delaware? For Python Data Analysis jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Delaware look for? The top searched job categories for Python Data Analysis jobs in Delaware are:
Data Science Manager Senior - Data, Model & Analytics

Data Science Manager Senior - Data, Model & Analytics

PNC Bank

Wilmington, DE • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


PNC Bank rating

7.8

Company rating: 7.8 out of 10

Based on 331 frontline employees who took The Breakroom Quiz

66th of 141 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Data Science Manager Senior within PNC's Data, Model & Analytics Retail Lending Data Analytics organization, you will be based in Pittsburgh, PA, Cleveland, OH, Tysons Corner, VA or Wilmington, DE.
Role Overview:
This Data Science Manager Senior role focuses on delivering decision ready insight through Descriptive ("what happened?") and Diagnostic ("why did it happen?") Analytics, with concrete outputs such as executive dashboards, KPI frameworks, trend and cohort analyses, drill downs, segmentation, driver analysis, and root cause investigations. The role is accountable for translating complex data into clear performance narratives by defining standardized metrics, ensuring data quality and lineage, and embedding analyses into scalable BI assets rather than ad hoc reporting. As needed, the role performs Prescriptive Analytics ("what should we do?") by turning findings into decision recommendations through scenario analysis, sensitivity testing, and practical optimization or decision models, and by operationalizing insights into dashboards, alerts, and playbooks. Predictive Analytics ("what will happen?") is in scope but not required, with forecasting, risk or propensity scoring, and applied machine learning viewed as nice to have capabilities.
The manager leads and prioritizes an analytics roadmap, coaches analysts and data scientists, and promotes disciplined use of tools such as SQL, Python, modern BI platforms, cloud data technologies, Git, and applied statistics. Strong partnership with product, operations, risk, and business leaders is essential to frame the right questions and deliver executive ready storytelling that connects analysis to action. The role enforces data governance, documentation, and audit ready practices, ensuring metric consistency and trusted reporting across teams. An experiment and measurement mindset is expected, applying test and learn or A/B testing to evaluate impact. Any models or advanced techniques used are monitored for performance, reliability, and fairness, with assumptions and limitations communicated transparently."
Preferred skills & experience:
Proven experience delivering Descriptive and Diagnostic Analytics, including KPI frameworks, executive dashboards, trend/cohort analysis, segmentation, driver analysis, and root cause investigations that inform business decisions.
Strong capability to translate analytical findings into Prescriptive Analytics, such as clear decision recommendations, scenario and sensitivity analysis, and practical optimization or decision models embedded into dashboards, alerts, or playbooks.
Demonstrated people and delivery leadership, including owning and prioritizing an analytics roadmap, coaching analysts and data scientists, setting analytical standards, and ensuring consistent, high impact outcomes.
Hands on proficiency with SQL, Python, BI visualization tools e.g., Tableau & Plotly, cloud data platforms, Git, and applied statistics, along with a strong foundation in data quality, metric definition, governance, documentation, and experimental or test and learn approaches.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Oversees end-to-end analytical projects that leverage vast amounts of structured and unstructured data to extract actionable business insights.
  • Provides leadership, direction and methodology for Data Scientists to create appropriate models and data-driven solutions for the business.
  • Recruits, trains, and develops best-in-class Data Scientists.
  • Works with executive leadership to identify data science project opportunities and assists in planning activities including budget and scope determination.
  • Oversees relationship with Data Architects, Data Analysts, Data Engineers and Visualization Experts to develop data-driven solutions for the business.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

PNC also has fundamental expectations of our people managers. As a manager of talent in PNC, you will be expected to:

  • Include Intentionally - Cultivates diverse teams and inclusive workplaces to expand thinking.
  • Live the Values - Role models our values with transparency and courage.
  • Enable Change - Takes action to drive change and innovation that will transform our business.
  • Achieve Results - Takes personal ownership to deliver results. Empowers and trusts others in decision making.
  • Develop the Best - Raises the bar with every talent decision and guides the achievement of all employees and customers.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML)CompetenciesData Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry experience is typically 8+ years. At least 5 years of prior management experience is typically required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationMastersCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $80,000.00 - $189,750.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 04/09/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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