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Afternoon Excel Data Analyst Jobs (NOW HIRING)

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to ... Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel ...

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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 Jun 12, 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, and why are they important?

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 June 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Part Time, and 1% Contract. Highlights an 81% Physical, 8% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

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Posted 22 days ago


Job description

Description

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant experience within our Data Management group helping clients understand more about their data. Using our analytics and visualization tools, you will gain experience working with industry-leading software applications such as Alteryx, Python, Power BI, R and SQL.


Data Analyst Job Duties

Data analyst responsibilities include conducting analysis and producing datasets based on customer or manager requirements. Data analysts will develop analysis and reporting capabilities. They will also monitor key performance indicators and quality control plans to identify improvements.


Data Analyst Responsibilities

  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and "clean" data by reviewing computer reports and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities

Requirements

Data Analyst Job Requirements

  • Proven working experience as a data analyst or business data analyst. Class project experience may be substituted for work experience
  • Technical expertise regarding data models, data processing, data mining and segmentation techniques. Quality control methodologies are a plus (Lean, Six Sigma)
  • Strong knowledge of and experience with reporting packages (Tableau, Power BI, etc.), databases (SQL etc.), programming (Python, JavaScript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, R etc.)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • Working towards or completed BS or MS in Mathematics, Computer Science, Data Science, Information Management or Statistics