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2Nd Shift Data Analyst Jobs (NOW HIRING)

CHARLOTTE-550 S Tryon St-144039 Hybrid either 4/1 or 3/2 onsite Interview Process: 30 minutes Teams and 2nd round must be in person- 1-1 1/2-hour panel Business Data Analyst/Data Analyst Expert in ...

Supervisor, 2nd shift Department: Operations Supervisor: Production Supervisor Location ... Record and analyze production data (downtime, counts, yields, etc.) and enter into ERP (Factory ...

Data Analyst

New York, NY ยท On-site

$130K - $170K/yr

In 2026, we announced our second employee tender offer in 9 months at a new $5B valuation. We also ... Data @ Clay We're looking for a Data Analyst to help make Clay data-driven from the ground up. You ...

2nd Shift Supervisor

Williamsburg, MI ยท On-site

$65K - $77K/yr

Supervisor, 2nd shift Department: Operations Supervisor: Production Supervisor Location ... Record and analyze production data (downtime, counts, yields, etc.) and enter into ERP (Factory ...

2nd Shift Quality Technician

Denton, TX ยท On-site

$17 - $23/hr

Maintaining quality-assurance processes, testing products, and recording and analyzing results data ... Schedule/ Shift: 2nd Shift Location: Denton, TX Travel Requirements: 0% Over Time: to be determined ...

$54.57 - $59.38/hr

Data Analyst Apply now Job no: 506111 Work type: Fixed Term Location: Newstead Categories ... Wants their first or second role in data * Enjoys experimenting and learning new tools * Isn't ...

Senior Data Analyst

Washington, DC ยท On-site

$88K - $119K/yr

Sr. Data Analyst (multiple positions) (Washington, DC): Perform analysis for problem solving and ... C., 700-B 2nd Street NE, Washington, DC 20002 Equal Opportunity Employer This employer is required ...

Overview SOSi is seeking a Data Analyst to support investigative, compliance, or research-focused ... Shift work is required as this is 24/ 7/ 365 days a year operational environment * Must be able to ...

Overview SOSi is seeking a Data Analyst to support investigative, compliance, or research-focused ... Shift work is required as this is 24/ 7/ 365 days a year operational environment * Must be able to ...

Utilize ERP and other operational systems to review, maintain, analyze, and communicate production ... data to support shift execution, informed decision-making, production execution, and continuous ...

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2Nd Shift Data Analyst information

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How much do 2nd shift data analyst jobs pay per year?

As of Jul 23, 2026, the average yearly pay for 2nd shift data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the 2Nd Shift Data Analyst position, and why are they important?

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 is a 2nd Shift Data Analyst job?

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 typical evening look like for a 2nd Shift Data Analyst, and how does the schedule impact the work environment?

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.

More about 2Nd Shift Data Analyst jobs
What cities are hiring for 2Nd Shift Data Analyst jobs? Cities with the most 2Nd Shift Data Analyst job openings:
What are the most commonly searched types of Data Analyst jobs? The most popular types of Data Analyst jobs are:
What states have the most 2Nd Shift Data Analyst jobs? States with the most job openings for 2Nd Shift Data Analyst jobs include:
What job categories do people searching 2Nd Shift Data Analyst jobs look for? The top searched job categories for 2Nd Shift Data Analyst jobs are:
Infographic showing various 2Nd Shift Data Analyst job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, and 28% Nights. Highlights an 100% In-person job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Data Analyst

Data Analyst

Themesoft, Inc.

Charlotte, NC โ€ข On-site

Full-time

Posted 15 days ago


Job description

Overview:
Data Analyst- 222415-1
Location: CHARLOTTE-550 S Tryon St-144039
Hybrid either 4/1 or 3/2 onsite
Interview Process: 30 minutes Teams and 2nd round must be in person- 1-1 1/2-hour panel
Business Data Analyst/Data Analyst
Expert in SQL
MICROSFT FABRIC -
automate regulatory reporting processes
data architecture
process automation
Functionaly- develop detailed requirements and write them all in Jira - personal understands the process so well that they can write the automation themselves and then the developer picks up and executes
Background- really good data analysts or BAs that taught themselves how to code or people that grew up developers and is able to connect with the business, understand the business and able to work with the business
Role Overview
Wells Fargo is seeking a highly technical contractor to join the Market & Counterparty Regulatory Reporting team, supporting the delivery of accurate, timely, and regulator-aligned reporting (e.g., FR Y?14Q, CCAR).
This role sits at the intersection of risk subject matter expertise and technology delivery, with a primary mandate to:
  • Learn and deconstruct current reporting and stress processes
  • Identify inefficiencies and manual dependencies
  • Design and propose scalable automation solutions
  • Partner with technology teams to deliver these solutions into production

The position directly supports ongoing efforts to modernize reporting infrastructure, improve operational efficiency, and reduce regulatory risk.
Key Responsibilities
1. Process Analysis & SME Partnership
  • Partner with Market Risk and Counterparty Risk subject matter experts (SMEs) to:
    • Understand end-to-end regulatory reporting workflows (data sourcing ? transformation ? aggregation ? submission)
    • Document current-state processes, controls, and data dependencies
  • Identify:
    • Manual touchpoints
    • Reconciliation gaps
    • Data lineage issues
    • Opportunities for standardization

2. Automation & Solution Design
  • Develop future-state automation proposals aligned with enterprise technology strategy
  • Translate business processes into scalable technical designs, including:
    • Data pipelines
    • Aggregation logic
    • Reporting layers
  • Evaluate modernization opportunities such as:
    • Migration of legacy SQL-based processes to modern application frameworks (e.g., Java-based ETL)
    • Consolidation of fragmented reporting workflows into structured infrastructure
  • Ensure solutions:
    • Meet regulatory accuracy and auditability requirements
    • Improve performance, scalability, and control environments

3. Requirements & Delivery Management
  • Capture detailed business and technical requirements in Jira, including:
    • Epics, features, and user stories
    • Acceptance criteria aligned with regulatory and data validation standards
  • Partner with technology developers to:
    • Refine backlog items
    • Ensure correct interpretation of requirements
    • Support testing and validation
  • Drive end-to-end delivery lifecycle:
    • Design ? Build ? Test ? Production deployment

4. Data & Technology Engineering Oversight
  • Analyze and work within complex reporting data environments involving:
    • Large-scale relational datasets
    • Risk aggregation frameworks
    • Regulatory reporting tables
  • Ensure robustness across:
    • Data integrity and reconciliation
    • Transformation logic
    • Performance optimization

5. Reporting & Visualization Enablement
  • Incorporate modern visualization and analytics tools where appropriate:
    • Power BI and Tableau for reporting and insights delivery
  • Leverage these tools to:
    • Reduce manual report generation
    • Enable self-service analytics for stakeholders
    • Improve transparency into risk metrics and reporting outputs

6. Emerging Technology & AI Adoption
  • Evaluate and recommend use of emerging technologies, including:
    • AI/GenAI copilots for documentation, reconciliation, or anomaly detection
    • Advanced analytics platforms (e.g., Fabric-like ecosystems, semantic layers)
  • Ensure new technologies:
    • Align with enterprise governance and risk standards
    • Provide measurable efficiency or control improvements

Required Qualifications
Technical Expertise
  • Advanced proficiency in:
    • SQL (complex queries, stored procedures, performance optimization)
    • Java (enterprise applications, batch processing frameworks such as Spring Boot / Spring Batch preferred)
  • Strong understanding of:
    • Data architecture and infrastructure design
    • ETL and data pipeline development
    • Distributed / scalable processing frameworks

Regulatory & Domain Experience (Direct Banking Experience is a "Nice to Have" - not completely essential, but if not, the technical expertise needs to be "off the charts")
  • Experience working in:
    • Market Risk or Counterparty Risk environments
    • Regulatory reporting (e.g., FR Y?14Q, CCAR, Basel) preferred
  • Familiarity with:
    • Stress testing processes
    • Risk aggregation and reporting controls

Delivery & Collaboration
  • Proven experience:
    • Writing detailed requirements in Jira (user stories, acceptance criteria)
    • Operating within Agile / hybrid delivery environments
  • Strong ability to:
    • Translate SME discussions into concrete technical solutions
    • Partner across risk, data, and technology teams

Regards,
Manikandan Ravi (Mani)
Account Manager
Work: 972-474-8787 Ext: 424 |Dir: 972-214-2415 | Mani.r@themesoft.com| [Themesoft.com]Themesoft Inc |
Skills:
Power BI,Tableau