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Python Data Analysis Jobs in Delaware (NOW HIRING)

... data 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 Scientist Lead

Wilmington, DE · On-site

$142.50K - $210K/yr

... data 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 ...

Digital Analyst Internships

Smyrna, DE

$86K - $101.70K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Seaford, DE

$92.80K - $109.70K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Digital Analyst Internships

Newark, DE

$96.30K - $113.90K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

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Python Data Analysis information

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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:
Marketing Analytics Senior Associate - Card Data Analytics

Marketing Analytics Senior Associate - Card Data Analytics

JP Morgan Chase

Wilmington, DE

Full-time

Medical, Retirement

Posted 13 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Join the Card Marketing Analytics team within Consumer Community Banking Data & Analytics and help shape the strategy of Chase's Credit Card marketing campaigns. This role offers the opportunity to influence multimillion dollar marketing spend, develop your analytics skills, and collaborate with talented colleagues. Grow your career in a dynamic environment that values innovation, strategic thinking, and impactful business decisions.

As a Marketing Analytics Senior Associate in the Card Data & Analytics team, you will focus on translating customer behavioral data into insights that drive marketing strategies to influence card acquisitions on digital channels. You will develop, plan, and execute analytical projects both individually and as part of a team. You will work closely with Analysts, Channel Marketing partners, Data Owners, and Product Owners to deliver capabilities that unlock the power of our data and drive business growth.

You will own end-to-end analytics for multiple campaign strategies, conduct research and recommend marketing strategies, and synthesize large volumes of data into actionable insights. Your work will support business growth targets and provide practical data insights to senior leadership through compelling presentations and visualizations.

Job Responsibilities
  • Own end-to-end analytics for multiple campaign strategies on digital channels, including campaign performance measurement, ad hoc analysis, A/B and incrementality test reads, and profitability and optimization analysis
  • Partner with marketing strategy managers across Card Digital channels to optimize campaigns, develop new strategies, and provide best-in-class analytics to influence and grow new card acquisitions
  • Conduct research and recommend marketing strategies in the digital space to the card business
  • Support business growth targets by providing concise, insightful, and timely analytics for key trends by analyzing large datasets
  • Synthesize large volumes of data into actionable insights to influence business and marketing strategies
  • Deliver practical data insights in a compelling manner actionable by senior leadership using presentations, discussions, and visualizations
Required qualifications, capabilities, and skills
  • Bachelor's and Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
  • 3+ years of industry experience in business analytics roles (e.g., digital analytics, customer analytics, marketing analytics, sales analytics, business insights)
  • Advanced knowledge of querying databases using SQL
  • Experience across a broad range of modern data science and analytics tools (Hive, Python, R, Alteryx)
  • Experience with visualization techniques for data analysis and presentation (Tableau, Power BI)
  • Experience with web analytics tools (Google Analytics, Adobe Analytics)
  • Knowledge in modern data mining, quantitative research, and data science techniques (e.g., Machine learning)
  • Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners
Preferred qualifications, capabilities, and skills
  • Financial services background
  • Intellectually curious and eager to become subject matter expert in their focus area
  • A strategic thinker with the ability to focus on business goals
  • Highly organized and able to prioritize multiple tasks

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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