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2Nd Shift Data Analyst Jobs in Florida (NOW HIRING)

Interview Process: 1st round virtual Since this is an enterprise role reporting to corporate, 2nd ... Must have a FLORIDA ADDRESS Enterprise Data Analyst The Enterprise Data Analyst (DA) is a key ...

This is a second shift opportunity, with hours of 2:30 PM - 11:30 PM. This role primarily supports ... Understanding of supply chain practices and metrics and data analysis o * Familiarity with Lean ...

Work Shift 1 - First Shift Job Summary Are you the type of person who loves to understand data flow ... Bachelor's degree in Data Analytics, Information Systems, Mathematics, or other related field with ...

Available schedules include: * 2nd Shift: 3:30 PM - 12:00 AM Pay: $18.28 per hour Additional ... as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For ...

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Assembler - 2nd Shift

Largo, FL · On-site

$18.28/hr

Available schedules include: * 2nd Shift: 3:30 PM - 12:00 AM Pay: $18.28 per hour Additional ... as data centers, healthcare, pharmaceuticals, advanced manufacturing, and higher education. For ...

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Maintenance Technician - Class 4 2nd Shift 5:45 PM - 6:00 AM Rotating Shifts 12 hour shift Schedule ... Follow Job Safety Analysis, uses safe work practices, and reports hazardous conditions at all times.

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Maintenance Technician - Class 4 2nd Shift 5:45 PM - 6:00 AM Rotating Shifts 12 hour shift Schedule ... Follow Job Safety Analysis, uses safe work practices, and reports hazardous conditions at all times.

This is a second shift opportunity, with hours of 2:30 PM - 11:30 PM. This role primarily supports ... Analysis, Data-Driven Decision Making, Data Literacy, Delegation, Digital Literacy, Emotional ...

Welder 2nd Shift

Jupiter, FL · On-site

$19.25 - $23.50/hr

Welder 2nd Shift LOCATION: Jupiter, FL STATUS: Hourly Non-Exempt JOB SUMMARY ESSENTIAL DUTIES AND ... and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading ...

The 2nd Shift Fabricating Supervisor is responsible for the oversight of machines and personnel ... Analyze fabricating performance, identify opportunities, make recommendations for process and ...

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We are seeking an experienced, hands-on 2nd Shift Plant Supervisor to direct evening production ... Analyze work orders, coordinate material flow, build shift schedules, and adjust machinery and ...

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2Nd Shift Data Analyst information

What is a 2nd shift data analyst?

A 2nd Shift Data Analyst is responsible for analyzing and interpreting data during the second shift, which typically falls in the afternoon to late evening. They process large datasets, generate reports, and provide insights to support business decisions. Their role may also include troubleshooting data issues, ensuring data accuracy, and collaborating with teams across different shifts. This position is common in industries that require round-the-clock data analysis, such as manufacturing, healthcare, and logistics.

What does a 2nd shift data analyst do?

A typical evening as a 2nd Shift Data Analyst involves monitoring data flows, generating reports, and responding to urgent data requests that arise after standard business hours. You may collaborate with operations, customer support, or IT teams that also operate late shifts to resolve issues or provide timely analytics support. The off-peak schedule often means a quieter workplace, allowing for deep focus and accelerated project turnaround, but also requires self-motivation and strong communication for handoffs with daytime teams. This environment can offer unique opportunities to take ownership of key tasks and demonstrate reliability, which may lead to advancement into more senior analyst roles or supervision opportunities in the future.

What are the key skills and qualifications needed to thrive in the 2nd shift data analyst position?

To thrive as a 2nd Shift Data Analyst, you'll need strong analytical skills, attention to detail, and proficiency in quantitative analysis, typically backed by a bachelor's degree in a relevant field such as statistics, mathematics, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, Microsoft Excel, and possibly certifications in data analytics or business intelligence are highly beneficial. Excellent communication, problem-solving abilities, and the capacity to work independently and collaboratively during off-hours will help you stand out. These skills ensure you can efficiently process and interpret data, provide actionable insights, and support business operations outside of standard daytime hours.

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

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

What are popular job titles related to 2Nd Shift Data Analyst jobs in Florida?

For 2Nd Shift Data Analyst jobs in Florida, the most frequently searched job titles are:

What job categories do people searching 2Nd Shift Data Analyst jobs in Florida look for?

The top searched job categories for 2Nd Shift Data Analyst jobs in Florida are:

Infographic showing various 2Nd Shift Data Analyst job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

ENTERPRISE DATA ANALYST

Kanak Elite Services Inc

Juno Beach, FL • On-site

Contractor

Re-posted 12 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.