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Hourly Amazon Data Analyst Jobs in Florida (NOW HIRING)

SmartIPlace

ENTERPRISE DATA ANALYST

Juno Beach, FL · On-site

$50 - $55/hr

Must have a FLORIDA ADDRESS Enterprise Data Analyst The Enterprise Data Analyst (DA) is a key ... Design and build impactful visualizations and dashboards using tools like Power BI, Amazon ...

Kforce Technology Staffing

Data Analyst

Lakeland, FL · On-site

We are seeking a Data Analyst to join a growing Data and Analytics team within a fast-paced ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

Kforce Technology Staffing

Data Analyst

Jacksonville, FL · On-site

Kforce has a client that is seeking a Data Analyst in Jacksonville, FL. Summary: We are seeking a ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

New

Collabera LLC

Data Analyst

Orlando, FL · On-site

$20 - $22/hr

Data Analyst Location: Orlando, FL Work Arrangement: Onsite Client Industry: Banking Client ... Compensation Hourly Rate: $20 to $22 per hour This range reflects base compensation and may vary ...

Collabera

Data Analyst

Orlando, FL · On-site

$20 - $22/hr

Data Analyst Location: Orlando, FL Work Arrangement: Onsite Client Industry: Banking Client ... Compensation Hourly Rate: $20 to $22 per hour This range reflects base compensation and may vary ...

Collabera

Data Analyst

Orlando, FL · On-site

$20 - $22/hr

Data Analyst Location: Orlando, FL Work Arrangement: Onsite Client Industry: Banking Client ... Compensation Hourly Rate: $20 to $22 per hour This range reflects base compensation and may vary ...

Cru

HR - Senior Data Analyst

Orlando, FL · On-site

$85K/yr

The Senior HR Data Analyst role plays a critical part in transforming HR data into actionable ... lump sum contributions for hourly roles, helping you plan for your future. * Paid Time Off ...

Clarity Innovations

Data Engineer

Hurlburt Field, FL · On-site

$104K - $125K/yr

In addition to the baseline skills of a data analyst, data engineers can make raw data more useful ... Administrate cloud computing and CI/CD pipelines to include Azure, Google, and Amazon Web Service ...

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Hourly Amazon Data Analyst information

What does an hourly Amazon data analyst do?

An Hourly Amazon Data Analyst is responsible for collecting, processing, and analyzing data to help Amazon make informed business decisions. They often work on tasks such as generating reports, identifying trends, and supporting various teams with data-driven insights. These analysts typically use tools like Excel, SQL, and Amazon’s internal software to manage large datasets. Their work helps improve efficiency, optimize operations, and support strategic initiatives across the company.

What are some common challenges faced by hourly Amazon data analysts, and how can they be overcome?

Hourly Amazon Data Analysts often encounter challenges such as managing large volumes of data, meeting tight deadlines, and adapting to rapidly changing priorities. Close attention to detail and strong organizational skills are essential for ensuring data accuracy and timely delivery. Collaborating effectively with team members and proactively seeking feedback can help resolve issues quickly and improve overall workflow. Additionally, leveraging Amazon's internal tools and resources can streamline data processing and analysis tasks.

What are the key skills and qualifications needed to thrive as an hourly Amazon data analyst, and why are they important?

To thrive as an Hourly Amazon Data Analyst, you need strong analytical skills, attention to detail, and a background in mathematics, statistics, or a related field. Proficiency with data analysis tools such as Excel, SQL, and Amazon's internal analytics platforms is typically required. Effective communication, problem-solving abilities, and adaptability help analysts translate data into actionable insights and work efficiently within teams. These skills ensure accurate data interpretation, support decision-making, and contribute to Amazon's operational excellence.

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

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

What are popular job titles related to Hourly Amazon Data Analyst jobs in Florida?

For Hourly Amazon Data Analyst jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Hourly Amazon Data Analyst jobs in Florida look for?

The top searched job categories for Hourly Amazon Data Analyst jobs in Florida are:

What cities in Florida are hiring for Hourly Amazon Data Analyst jobs?

Cities in Florida with the most Hourly Amazon Data Analyst job openings:

Hourly Amazon Data Analyst jobs near you

ENTERPRISE DATA ANALYST

Kanak Elite Services Inc

Juno Beach, FL • On-site

Contractor

Re-posted 6 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Enterprise Data Analyst with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Enterprise Data Analyst

Juno Beach, FL Onsite

Long term contract

2nd round will be onsite

Enterprise Data Analyst

The Enterprise Data Analyst (DA) is a key technical liaison between the Enterprise Data Platform (EDP) and various NEE business units. This role uses a blend of business analysis and data expertise to drive the successful use of enterprise data, break down silos, and contribute to overarching business strategies. The DA serves as an advocate for the EDP's data portfolio, helping business partners understand its value, meet their data goals, and tell compelling stories with data.

Required Skills & Experience

  • Technical Proficiency: Excellent command of SQL.
  • Analytical Aptitude: Strong problem-solving, analytical, and quantitative skills.
  • Data Storytelling: Excellent written and oral communication, presentation, and data storytelling skills.
  • Leadership & Collaboration: Good skills to manage client relationships and conduct community-of-practice sessions; demonstrated ability to work effectively in a team environment as well as independently.
  • Experience with data in SAP or Salesforce.
  • Experience with Corporate Finance data.
  • Experience of AWS Redshift.
  • ERwin data modeling experience
  • Basic understanding of data management and governance frameworks.

Key Responsibilities

As an Enterprise Data Analyst, you will:

  • Become a Data Portfolio Expert: Deeply learn and evolve into the Subject Matter Expert (SME) for the EDP's data portfolio, including its enterprise data model, data products, data ownership, and access control configurations.
  • Support Data Discovery: Assist both technical and non-technical teams, internally and externally, by providing information and guidance on the EDP's data assets.
  • Drive Project Analysis: Conduct in-depth data and business process analysis for new projects entering the EDP pipeline.
  • Manage Data Knowledge: Maintain and improve the EDP's data catalog and discovery tools by:
    • Keeping knowledge articles and data dictionaries current (reviewing, refining, and creating new content).
    • Analyzing usage trends and recommending platform improvements.
  • Ensure Data Quality: Monitor the quality of various data products, identify gaps, and provide actionable recommendations for data quality improvement.
  • Provide Analytical Support: Collaborate with various business units and development teams to understand their data needs and deliver analytical solutions.
  • Champion Process Improvement: Communicate, recommend, and help implement business process improvements based on data analysis findings.
  • Analyze and Interpret Data: Proactively identify and interpret trends, patterns, and anomalies within large datasets.
  • Develop Performant Queries: Write and optimize SQL queries, utilizing basic understanding of performance techniques.
  • Document Data Relationships: Utilize data modeling tools (e.g., ERwin) to understand, document, and share knowledge about the relationships between datasets.
  • Create Visualizations: Design and build impactful visualizations and dashboards using tools like Power BI, Amazon Quicksight, or similar platforms.
  • Support Quality Assurance: Test business processes, help identify data issues, support User Acceptance Testing (UAT), and document findings.
  • Build Relationships: Establish strong working relationships with business product owners, practitioners, and executive leadership teams across the organization.
  • Foster a Community: Work with BI and Client Analysts to establish and lead a Data-Analysis Community of Practice for the EDP.