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Afternoon Excel Data Analyst Jobs (NOW HIRING)

Data Analyst (Health care Domain) Location: Canton, MA - 100% Remote Position Overview Hiring for ... Support analytical reporting using SAS, Excel, and related tools. Required Qualifications

... Excel, and other data analysis tools to extract and manipulate data. • Identify trends and patterns in sales tax overpayments. • Assist in automating processes to improve data extraction and ...

Data Analyst

Huntsville, AL · On-site

$43.26 - $52.88/hr

Such methods could include through Microsoft Excel spreadsheets, charts, Microsoft PowerBI dashboards, and other analytical methods. Job Responsibilities: * Performs analysis on a variety of data ...

Company Profile At Sand Cherry Associates,we excel in the design and delivery of strategic customer ... The Data Analyst will partner closely with management, technical teams, and cross-functional ...

Data Analyst

Daytona Beach, FL · On-site

$21 - $24/hr

You'll spend significant time in Excel cleaning and organizing information, while also leveraging ... Data Analysis & Reporting: Clean, organize, and analyze datasets using advanced Excel functions to ...

New

Such methods could include through Microsoft Excel spreadsheets, charts, Microsoft PowerBI dashboards, and other analytical methods. Job Responsibilities: * Performs analysis on a variety of data ...

Data Analyst

Arlington, VA · On-site

$80K - $110K/yr

Utilize SharePoint and Excel for data storage, collaboration, and workflow automation. * Leverage Microsoft 365 applications (e.g., Excel, Power BI, Teams) for data analysis, reporting, and ...

SQL Server, MCSE Data Platform, MCSE. 2) Advanced knowledge of Microsoft office toolset (Word, Project, Excel, and PowerPoint required, Visio preferre Qualifications Required Skills: 1) Data analysis ...

Data Analyst

Dallas, TX · On-site

$50 - $60/hr

Top Skills: -5 plus years of Data Analysis exp. -Excel -SAP S4Hana -Quick Learner & Good communication - someone who can keep up with a fast-paced environment Pluses: -Winshuttle -Industry exp.

Data Analyst

Daytona Beach, FL · On-site

$21 - $24/hr

You'll spend significant time in Excel cleaning and organizing information, while also leveraging ... Data Analysis & Reporting: Clean, organize, and analyze datasets using advanced Excel functions to ...

New

Data Analyst

Fremont, CA · On-site

$46.43/hr

Data Analyst Location: Fremont, CA Employment Type: Contract Industry: Semiconductor Compensation ... Use Excel, Power BI, SQL, and other analytics tools to answer business questions and support ...

New

Data Analyst

Waco, TX · Hybrid

$70K/yr

Develop Excel-based reports, templates, tracking tools, and analysis workbooks to improve visibility and efficiency. * Assist with data validation, data cleanup, report documentation, and process ...

Company Profile    At Sand Cherry Associates, we excel in the design and delivery of ... The Data Analyst will partner closely with management, technical teams, and cross-functional ...

As a Data Analyst on the Sales Analytics team, you will provide crucial support in areas such as ... Requirements: - Data validation and quality assurance experience. - Proficiency in advanced Excel ...

Company Profile At Sand Cherry Associates, we excel in the design and delivery of strategic ... The Data Analyst will partner closely with management, technical teams, and cross-functional ...

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Afternoon Excel Data Analyst information

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$34K

$82.6K

$136K

How much do afternoon excel data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for afternoon excel 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 some typical challenges an afternoon Excel data analyst might face, and how can they be addressed?

Afternoon Excel Data Analysts often work with data sets that need to be updated or checked after regular business hours, which can pose challenges such as collaborating with team members who work earlier shifts or ensuring data accuracy when information is constantly changing. To address these challenges, staying organized, documenting changes thoroughly, and using version control in Excel are essential. Additionally, effective communication with colleagues via email or shared platforms helps ensure continuity and reduces the risk of miscommunication. Being proactive about clarifying expectations and deadlines with supervisors also contributes to a smoother workflow.

What does an afternoon Excel data analyst do?

An Afternoon Excel Data Analyst is responsible for analyzing and interpreting data using Microsoft Excel, typically during afternoon shifts. Their duties often include collecting data, creating and managing spreadsheets, generating reports, and identifying trends or patterns to support business decisions. They may also automate data processes using Excel formulas and tools, ensuring data accuracy and efficiency in reporting. This role is essential for organizations that require real-time data analysis and reporting later in the day.

What is the difference between Afternoon Excel Data Analyst vs Morning Excel Data Analyst?

AspectAfternoon Excel Data AnalystMorning Excel Data Analyst
CertificationsTypically requires Excel certifications, data analysis coursesSame as Afternoon role
Work EnvironmentSame office hours, different shift timingSame office hours, different shift timing
Industry UsageCommon in industries with shift work like manufacturing, logisticsSame as Afternoon role
Job ResponsibilitiesData analysis, reporting, Excel modelingSame as Afternoon role

The main difference between an Afternoon Excel Data Analyst and a Morning Excel Data Analyst lies in their shift timings. Both roles typically require similar skills, certifications, and responsibilities, with the primary distinction being the working hours. Employers in industries with shift work often hire for both roles to ensure continuous data analysis coverage throughout the day.

What are the key skills and qualifications needed to thrive as an afternoon Excel data analyst?

To thrive as an Afternoon Excel Data Analyst, you need strong analytical skills, attention to detail, and proficiency with Microsoft Excel, typically supported by a degree in business, finance, or a related field. Advanced knowledge of Excel functions, pivot tables, VBA, and familiarity with data visualization or reporting tools such as Power BI are highly valuable. Effective communication, problem-solving abilities, and time management are crucial soft skills for interpreting data and meeting deadlines. These capabilities ensure accurate data analysis, actionable insights, and successful collaboration with team members during afternoon or shift-based hours.
More about Afternoon Excel Data Analyst jobs

What cities are hiring for Afternoon Excel Data Analyst jobs?

Cities with the most Afternoon Excel Data Analyst job openings:

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

The most popular types of Excel Data Analyst jobs are:

What states have the most Afternoon Excel Data Analyst jobs?

States with the most job openings for Afternoon Excel Data Analyst jobs include:

Infographic showing various Afternoon Excel Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Analyst

Digital Links Inc

Canton, MA • Remote

Contractor

Posted 11 days ago


Job description

Role: Data Analyst (Health care Domain)
Location: Canton, MA – 100% Remote

Position Overview

Hiring for experienced Data Analyst to support complex data, analytics, and information-management initiatives within the healthcare payer domain.

The selected candidate will partner with business and technical teams to develop scalable analytical solutions, improve data quality, create technical documentation, support testing activities, troubleshoot production issues, and provide actionable business insights using SQL, ETL, and data-management technologies.

Key Responsibilities

  • Partner with business stakeholders and technical teams to understand data and reporting requirements.
  • Perform functional analysis, gap analysis, and business-requirements definition.
  • Analyze complex healthcare payer data and provide meaningful business insights.
  • Develop and optimize advanced SQL and PL/SQL queries.
  • Support ETL processes, data integrations, and data-engineering initiatives.
  • Create technical specifications, data mappings, process documentation, and solution-design documents.
  • Develop test cases, test plans, and validation strategies.
  • Perform data validation, quality assurance, and defect analysis.
  • Investigate and troubleshoot production data and reporting issues.
  • Identify data-quality issues and recommend corrective actions.
  • Collaborate with developers, QA teams, business analysts, and project stakeholders.
  • Support analytical reporting using SAS, Excel, and related tools.

Required Qualifications

  • Bachelor’s degree in Information Systems, Computer Science, Healthcare Informatics, or a related field.
  • 7+ years of data-analysis experience within a healthcare payer environment.
  • Strong healthcare insurance or payer-domain experience.
  • Advanced hands-on experience with SQL, PL/SQL, and Oracle.
  • 5+ years of hands-on ETL and data-engineering experience.
  • 5+ years of Teradata experience.
  • 7+ years of experience with:
    • Functional analysis
    • Gap analysis
    • Business-requirements definition
  • Experience creating:
    • Technical specifications
    • Test cases
    • Test plans
    • Data and process documentation
  • Strong data-quality, QA, troubleshooting, and problem-solving skills.
  • Strong written and verbal communication skills.
  • Ability to collaborate effectively with business and technical stakeholders.

Preferred Qualifications

  • SAS experience.
  • Advanced Microsoft Excel experience, including Pivot Tables.
  • Experience developing analytical and operational reports.
  • Experience supporting healthcare payer data, claims, membership, provider, enrollment, or related datasets.