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Day Amazon Data Analyst Jobs in Rhode Island (NOW HIRING)

Hybrid position (three days in office one week and two days in office the next week) Overview: Support data collection, analysis, reporting, and evaluation across workforce initiatives within Rural ...

Senior Data Analyst

Johnston, RI · On-site

$86K - $109K/yr

Description Citizens Financial Group, Inc. (CFG) seeks a Senior Data Analyst for its Johnston ... best selves to work every day and everyone is expected to be treated with respect and ...

Senior Data Analyst

Johnston, RI · On-site

$86K - $109K/yr

Description Citizens Financial Group, Inc. (CFG) seeks a Senior Data Analyst for its Johnston ... best selves to work every day and everyone is expected to be treated with respect and ...

Senior Data Analyst

Johnston, RI · On-site

$86K - $109K/yr

Citizens Financial Group, Inc. (CFG) seeks a Senior Data Analyst for its Johnston, Rhode Island ... best selves to work every day and everyone is expected to be treated with respect and ...

The Data Services Analyst will be integral to informing our clients with meaningful metrics and ... Comprehensive medical, dental, and vision benefits * 3 weeks of vacation plus 5 personal days to ...

Data Engineer 1

Providence, RI · On-site

$80 - $100/hr

... analytics and data engineering disciplines. This is a hybrid position with two days per week in ... Experience working with cloud or warehouse platforms such as Amazon Redshift preferred

Data Engineer 1

Providence, RI · On-site

$80K - $96K/yr

... analytics and data engineering disciplines. This is a hybrid position with two days per week in ... Experience working with cloud or warehouse platforms such as Amazon Redshift preferred

Amazon Connect Architect

Johnston, RI · On-site

$64 - $84.25/hr

... data flow • Resolve complex technical challenges during build, deployment, and support phases ... Our team leverages advanced technologies such as AI, ML, and predictive analytics to drive ...

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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 Rhode Island?

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

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

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

Workforce Data Analyst

Powersolv

Providence, RI • On-site

Other

Posted 5 days ago


Key responsibilities

  • Develop and maintain data collection, tracking, reporting, and visualization systems for workforce projects.

  • Collect, organize, validate, analyze, and integrate data across workforce initiatives.

  • Prepare dashboards, reports, presentations, and visualizations to communicate data findings.


Job description

Note: Hybrid position (three days in office one week and two days in office the next week)

Overview: Support data collection, analysis, reporting, and evaluation across workforce initiatives within Rural Health Transformation Program, including, but not limited to:

  • Pre-employment and incumbent worker job training
  • Career and Technical Education
  • Professional Development and Continuing Education
  • Primary Care Residency
  • Ladders to Licensure
  • Clinical Placement Consortium
  • Recruitment and Retention Incentives
  • Behavioral Health Certificate for Home Care
  • Identification and qualification of rural and rural-serving healthcare providers and implementation of related initiatives

Responsibilities for workforce initiatives shall include:

  • Develop and maintain data collection, tracking, reporting, and visualization systems for RHTP workforce projects.
  • Collect, organize, validate, analyze, and integrate data and findings across workforce initiatives.
  • Support the development of common data definitions, performance measures, reporting standards, and data-quality processes.
  • Support the identification and qualification of rural and rural-serving healthcare providers and the implementation and monitoring of related initiatives.
  • Prepare dashboards, reports, presentations, visualizations, and other analytical products.
  • Translate data findings into actionable information to support program design, implementation, evaluation, and overall workforce strategy.
  • Support federal grant reporting, performance monitoring, program evaluation, and other state and federal data requirements.
  • Work with project staff, subrecipients, grantees, vendors, and partners to support the completeness, accuracy, consistency, and timeliness of workforce data.
  • Research and incorporate relevant state and national workforce, healthcare, education, demographic, geographic, and labor-market data.
  • Support coordination between RHTP workforce data activities and related EOHHS health workforce and healthcare system planning activities.
  • Maintain appropriate documentation and handle program and participant information in accordance with applicable confidentiality, data-governance, and records-management requirements.

REQUIRED QUALIFICATIONS FOR APPOINTMENT

Knowledge, Skills, and Capacity:

  • Must have working knowledge of data collection, management, analysis, visualization, and reporting, including federal grant reporting and performance-monitoring requirements.
  • Must have the ability to use spreadsheets, databases, data-visualization platforms, and other analytical tools to integrate information, identify trends, and clearly communicate findings.
  • Familiarity with administrative data, reporting processes, and data systems is preferred. Familiarity with healthcare, workforce, education, demographic, geographic, and public-sector landscape is also helpful.
  • Must have strong analytical, research, writing, organizational, communication, and problem-solving skills and the ability to work effectively with program staff, state agencies, healthcare providers, educational institutions, employers, and other partners.

Education and Experience

Education: Such as may have been gained through possession of a bachelor's degree from a college of recognized standing in data analytics, statistics, economics, public health, health informatics, public policy, public administration, social sciences, information systems, or a closely related field; and

Experience: Such as may have been gained through employment or internship experience involving data collection, analysis, reporting, research, performance measurement, program evaluation, healthcare, workforce development, education, public service, or other relevant activities.

Or, any combination of education and experience that shall be substantially equivalent to the above education and experience.