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Google Data Analytics Certificate Jobs in Delaware

JPMorgan Chase & Co

CCOR Data Management Lead

Newark, DE · On-site

... analytics tools is a strong plus * Experience with AI/ML techniques is plus. * Experience with cloud-based data platforms and technologies, such as Databricks, Snowflake, AWS, Azure, or Google Cloud ...

La Red Health Center Inc

Data Analyst

Georgetown, DE · On-site

The position supports reporting, analytics, evaluation and performance improvement efforts across ... Education/Experience/Certification: * Required: Bachelor's degree in health informatics, Data ...

Capital One

Manager, Credit Accounting

Wilmington, DE

Experience with Reporting systems such as Onestream, Tableau, Google Data Studio * Ability to reach ... Strong analytical, problem solving, and organizational skills * Strong communication skills (both ...

ADP

Senior Investment Data Analyst

Wilmington, DE · Hybrid

$83K - $105K/yr

Experience supporting portfolio analytics, investment reporting, performance measurement, and ... An MBA or CPA, experience with Bloomberg AIM, SQL, Geneva RSL, programming (VBA, Python, etc.), and ...

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All JobsGoogle Data Analytics Certificate JobsGoogle Data Analytics Certificate Jobs in Delaware

Google Data Analytics Certificate information

See Delaware salary details

$33K

$81.6K

$140.1K

How much do google data analytics certificate jobs pay per year?

As of Aug 29, 2026, the average yearly pay for google data analytics certificate in Delaware is $81,588.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $96,600.00 per year, depending on experience, location, and employer.

What is a Google Data Analytics Certificate?

A Google Data Analytics Certificate job typically refers to an entry-level role in data analytics that values the skills taught in the Google Data Analytics Professional Certificate program. Common job titles include Data Analyst, Business Analyst, or Reporting Analyst. These roles involve collecting, cleaning, analyzing, and visualizing data to help businesses make informed decisions. While the certificate can improve job prospects, gaining practical experience and additional technical skills can further enhance employability.

What types of entry-level job roles can I pursue after earning the Google Data Analytics Certificate?

After earning the Google Data Analytics Certificate, you are well positioned to apply for entry-level data analyst roles such as Junior Data Analyst, Business Intelligence Analyst, or Operations Analyst. These positions typically involve collecting, cleaning, and interpreting datasets, generating reports, and supporting decision-making for teams or departments. Many organizations value the hands-on skills taught in the certificate, such as data visualization, data preparation, and statistical analysis, making certificate holders competitive applicants. Additionally, with on-the-job experience, these roles often provide a clear path to more advanced positions in analytics or data science.

What are the key skills and qualifications needed to thrive in the Google Data Analytics Certificate position, and why are they important?

To thrive with a Google Data Analytics Certificate, you need a solid foundation in statistical analysis, data visualization, and problem-solving, typically supported by formal training or certification such as the Google Data Analytics Certificate itself. Proficiency in tools like spreadsheets, SQL, Tableau, and data cleaning software is essential for handling and interpreting data effectively. Attention to detail, effective communication, and a collaborative mindset are soft skills that help professionals succeed in this field. These abilities are crucial as they ensure accurate data-driven insights, clear reporting, and successful teamwork within data-oriented environments.

What jobs can I get with a Google Data Analytics Certificate?

A Google Data Analytics Certificate can qualify you for roles such as data analyst, business analyst, or data technician. These positions typically involve working with tools like spreadsheets, SQL, and data visualization software to interpret and communicate data insights in various industries.

What are the most commonly searched types of Google Data Analytics Certificate jobs in Delaware?

The most popular types of Google Data Analytics Certificate jobs in Delaware are:

What are popular job titles related to Google Data Analytics Certificate jobs in Delaware?

For Google Data Analytics Certificate jobs in Delaware, the most frequently searched job titles are:

What job categories do people searching Google Data Analytics Certificate jobs in Delaware look for?

The top searched job categories for Google Data Analytics Certificate jobs in Delaware are:

Google Data Analytics Certificate jobs near you
Infographic showing various Google Data Analytics Certificate job openings in Delaware as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,588 per year, or $39.2 per hour.

Data Science Vice President - Card Data Analytics

JPMorgan Chase & Co.

Wilmington, DE • On-site

$128K - $200K/yr

Full-time

Medical, Retirement

Re-posted 25 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 497 frontline employees who took The Breakroom Quiz

72nd of 173 rated banks

Job description


You can help shape how data and AI drive decisions across our Credit Card business. You will work on high-impact problems end-to-end-translating business questions into analytical approaches, building models and solutions, and communicating insights that influence strategy and outcomes. Join a collaborative team where your work can directly improve customer and business experiences through responsible, scalable analytics.
As a Data Science Vice President at JPMorganChase within the Card Data & Analytics team, you will develop analytics and AI/ML solutions that support strategic initiatives and measurable business impact. You will partner across the Card organization to define problems, scope solutions, and deliver high-quality analytical products. You will combine consulting, data science, and programming to drive data science and analytics strategies and deliver actionable insights.
Job responsibilities
  • Leverage experience and analytical skills to uncover novel use cases of Big Data analytics, including opportunities to responsibly apply foundation models and Generative AI
  • Drive data science and analytics strategies, including recommendations on analytical products and standards
  • Help partners define business problems and scope analytical solutions
  • Build an understanding of problem domains and available data assets
  • Research, design, implement, and evaluate analytical approaches and models, including Generative AI-based methods
  • Perform exploratory statistics and data mining tasks on diverse datasets
  • Communicate findings and obstacles to stakeholders to drive delivery to market
  • Develop subject matter expertise in financial and operational domains
  • Code solutions using strong programming skills
  • Collaborate across teams to deliver the best solutions for clients

Required qualifications, capabilities and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Bachelor's degree in a relevant quantitative field and 5+ years of data analytics experience, or advanced degree and 2+ years of experience
  • Exceptional analytical, quantitative, problem-solving, and communication skills
  • Intellectual curiosity for solving business problems
  • Leadership and collaboration skills
  • Knowledge of statistical software (for example, Python, R, SAS) and data querying languages (for example, SQL)
  • Familiarity with Generative AI and prompt engineering basics (prompt design, evaluation, guardrails)
  • Experience with modern analytics tools (for example, SAS, SQL, Hive, Hadoop, Spark, Python, Tableau, Alteryx)
  • Ability to convey complex information to technical and non-technical audiences

Preferred qualifications, capabilities and skills
  • Experience with large language model-enabled applications such as retrieval-augmented generation, classification or extraction from unstructured text, or agent-like workflows; exposure to evaluation methods for quality, cost, and latency
  • Understanding of key drivers within the credit card profit and loss statement
  • Financial services background
  • Master of Science degree or equivalent

About Us
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
About the Team
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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