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Day Amazon Data Analyst Jobs in Delaware (NOW HIRING)

Amazon

HR Partner, Human Resources, RSR

Seaford, DE · On-site

... analyze information, solve problems, and make data-driven decisions - Intermediate skills in ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

Amazon

Onsite Medical Representative

New Castle, DE · On-site

$36K - $41K/yr

At Amazon, we've set the ambitious goal to become the benchmark of safety excellence across all ... analysis. The OMR will function as a part of the larger team onsite, assisting with all first aid ...

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Day Amazon Data Analyst information

What is a Day Amazon Data Analyst?

Day Amazon Data Analysts are professionals who specialize in analyzing and interpreting data during daytime business hours at Amazon. They use various data analytics tools and techniques to identify trends, monitor business performance, and generate actionable insights that support decision-making across different departments. Their responsibilities may include creating reports, visualizing data, and collaborating with teams to optimize operations, improve customer experience, and drive business growth. These analysts typically have strong skills in statistics, data management, and business intelligence software.

What skills and qualifications are needed to thrive as a Day Amazon Data Analyst?

To thrive as a Day Amazon Data Analyst, you need strong analytical skills, proficiency in data modeling, and a solid understanding of statistics, often supported by a degree in a quantitative field. Familiarity with SQL, Excel, Python or R, and Amazon's proprietary data systems like Redshift or QuickSight is typically required. Attention to detail, problem-solving abilities, and effective communication help analysts interpret data and present actionable insights to stakeholders. These skills ensure accurate analysis, drive data-informed decisions, and contribute to Amazon's operational and business success.

What challenges might a Day Amazon Data Analyst face, and how can they address them?

A Day Amazon Data Analyst often encounters challenges such as handling large volumes of complex data, ensuring data accuracy, and meeting tight deadlines for reporting and analysis. To address these, it's important to develop strong data validation processes, maintain clear communication with stakeholders, and continuously improve technical skills in tools like SQL and Excel. Collaborating closely with cross-functional teams helps to clarify data requirements and prioritize projects effectively, making it easier to deliver actionable insights that drive business decisions.

What is the difference between Day Amazon Data Analyst vs Day Amazon Business Analyst?

AspectDay Amazon Data AnalystDay Amazon Business Analyst
Primary FocusData analysis, reporting, and insights generationBusiness process improvement, strategy, and decision support
Required SkillsData tools (Excel, SQL, Tableau), analytical skillsBusiness acumen, communication, problem-solving
Work EnvironmentData-driven teams within Amazon's operationsCross-functional teams focusing on business strategies
CertificationsData analysis certifications (e.g., Microsoft, Tableau)Business or management certifications (e.g., PMP, MBA)

While both roles support Amazon's operations, the Day Amazon Data Analyst primarily focuses on analyzing data to inform decisions, whereas the Day Amazon Business Analyst concentrates on improving business processes and strategies. The roles often overlap but differ in their core responsibilities and skill sets.

How do I join Amazon as a Day Amazon Data Analyst?

To join Amazon as a Data Analyst, you should review current job openings on Amazon's careers website, ensure you meet the required qualifications such as proficiency in SQL, Excel, and data visualization tools, and submit an application with your resume. The hiring process typically involves multiple interviews and assessments to evaluate technical skills and problem-solving ability.

What is the day-to-day job of a Day Amazon Data Analyst?

A Day Amazon Data Analyst is responsible for collecting, analyzing, and interpreting large datasets related to Amazon's operations, sales, and customer behavior. They use tools like Excel, SQL, and data visualization software to generate reports, identify trends, and support decision-making processes. Their daily tasks often include monitoring key performance indicators, troubleshooting data issues, and collaborating with teams to improve business strategies.

What are the most commonly searched types of Amazon Data Analyst jobs in Delaware?

The most popular types of Amazon Data Analyst jobs in Delaware are:

What cities in Delaware are hiring for Day Amazon Data Analyst jobs?

Cities in Delaware with the most Day Amazon Data Analyst job openings:

Day Amazon Data Analyst jobs near you

Data Owner Vice President Banking Payments - Connected Commerce

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 15 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description


Job Description
Data is a powerful driver of innovation-when it is trusted, protected, and easy to use. Join a team where you can shape how Banking Payments data is defined, governed, and delivered to enable better decisions, modernized products, and responsible analytics. You will partner across product, operations, technology, and analytics to raise data quality standards and create scalable, compliant data capabilities. This is an opportunity to lead with influence, set clear direction, and help teams move faster with confidence.
As a Data Owner, Banking Payments at JP Morgan Chase within Banking Payments, you will be accountable for the data produced, provisioned, and consumed across Banking Payments products to support strategic business objectives, advanced analytics, business operations, and reporting. You will define and drive a data roadmap that improves quality, protection, understanding, fit-for-purpose use, discoverability, and integration into analytics platforms, while ensuring governance and control expectations are met.
Job responsibilities
  • Build and sustain collaborative relationships across stakeholders to meet governance and controls requirements
  • Establish data quality expectations and oversight for critical data exposed to consumers, reducing risk from poor-quality data
  • Define and execute a product data roadmap supporting modernization and marketing initiatives, including acquisitions and migrations
  • Direct processes and procedures supporting Artificial Intelligence and machine learning initiatives (access and approvals, classification, tag management, harvesting, definitions) and evaluate relevant vendor solutions
  • Partner with product owners, process owners, and analytics leads to identify, define, classify, and prioritize critical data for their business areas
  • Support privacy initiatives across the firm and lines of business in a highly legislative environment that requires broad data expertise
  • Provide subject matter expertise on the Banking Payments data estate and the firm's data governance tooling, including application and product priorities tied to compliance processes
  • Communicate clearly and consistently on roadmap progress, risks, dependencies, and outcomes to drive alignment and delivery

Required qualifications, capabilities and skills
  • 6+ years of industry experience in a data-related field
  • Experience managing delivery across multiple workstreams with varying timelines, priorities, and complexities
  • Demonstrated ability to manage tight timelines and deliver strategic change that meets organizational goals
  • Proven ability to build internal partnerships and influence stakeholders across levels and functions
  • Strong leadership skills across products, programs, projects, teams, and/or employees
  • Structured thinking and excellent written and verbal communication skills
  • Understanding of Agile delivery methodology
  • Strong knowledge of SQL, Alteryx, Python, Amazon Web Services (AWS), and Snowflake
  • Experience with AI-driven operational efficiency by leveraging Al tools to synthesize data definitions, auto-generate data quality rules and epics.

Preferred qualifications, capabilities and skills
  • Bachelor's degree required; Master's degree preferred
  • Experience managing direct and/or matrixed staff to deliver data-related outcomes
  • Technical knowledge of data management and governance, big data platforms, or data architecture
  • Experience supporting privacy initiatives and control requirements in regulated environments
  • Deep subject matter expertise in business or product data area preferred.

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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