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Afternoon Excel Data Analyst Jobs in Pendleton, IN

STI

Data Analyst

Indianapolis, IN · On-site

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven ... Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI.

Staffingine LLC

DWD - Data Analyst

Indianapolis, IN · On-site

DWD - Data Analyst Location: Indianapolis, IN Job Type: Full-Time * Gather, clean, and organise ... Develop reports, dashboards, and visualisations using tools like Excel, SQL, Tableau, or Power BI.

CSpring

Data Analyst

Indianapolis, IN · On-site

Proficiency in Python, including Pandas or similar libraries, and Excel. * Knowledge of data cleaning, formatting, and transformation techniques. * Understanding of basic statistics and analytical ...

AAA Hoosier Motor Club

Data Analyst

Indianapolis, IN

... Excel skills required. • Exposure to Python scripting for data work including API calls, data preparation, and analysis preferred. • Exposure to Azure Data Lake Storage, Azure SQL Database, and ...

AAA Hoosier Motor Club

Data Analyst

Indianapolis, IN · On-site

... Excel skills required. • Exposure to Python scripting for data work including API calls, data preparation, and analysis preferred. • Exposure to Azure Data Lake Storage, Azure SQL Database, and ...

Netpace Inc

IN DWD - Data Analyst

Indianapolis, IN · On-site

Required : • Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. • Proficiency in data analysis tools such as SQL, Python, R, or Excel. • Experience ...

CYNET SYSTEMS

Data Analyst

Indianapolis, IN · On-site

$27 - $32/hr

Proficiency in Microsoft Excel. * Strong understanding of the fundamentals of databases and data structures including tables, hierarchical structures, and flat files. * Strong organizational and ...

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

The role will include exploratory data analysis, reporting, descriptive statistics, dataset ... Excel, Word, and PowerPoint. • Effective time management and program management skills. • ...

LHH US

HR Data Analyst

Indianapolis, IN

$70K - $80K/yr

Advanced Microsoft Excel skills, including: * Pivot Tables * VLOOKUP/XLOOKUP * Data Validation * Reporting and Data Analysis * Formula Development * Experience with ADP, Workday, or other HRIS ...

LHH US

HR Data Analyst

Indianapolis, IN

$70K - $80K/yr

Advanced Microsoft Excel skills, including: * Pivot Tables * VLOOKUP/XLOOKUP * Data Validation * Reporting and Data Analysis * Formula Development * Experience with ADP, Workday, or other HRIS ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

Possess a solid foundation in statistics and practical experience with statistical software (such as Excel and Power BI) and mastery in data analysis languages including SQL, Python, and R

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All JobsAfternoon Excel Data Analyst JobsAfternoon Excel Data Analyst Jobs in Pendleton, IN

Afternoon Excel Data Analyst information

See Pendleton, IN salary details

$32.9K

$80.1K

$131.8K

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

As of Aug 31, 2026, the average yearly pay for afternoon excel data analyst in Pendleton, IN is $80,084.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $94,000.00 per year, depending on experience, location, and employer.

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 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.

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 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 cities near Pendleton, IN are hiring for Afternoon Excel Data Analyst jobs?

Cities near Pendleton, IN with the most Afternoon Excel Data Analyst job openings:

Afternoon Excel Data Analyst jobs near you

Data Analyst

STI

Indianapolis, IN • On-site

Full-time

Re-posted 10 days ago

Job description

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Job Summary:
The Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Key Responsibilities:
Gather, clean, and organize large datasets from various sources.
Validate and verify data accuracy, consistency, and completeness across various data sources.
Identify and resolve data discrepancies, inconsistencies and errors.
Performa routine and ad hoc data quality checks using automated and manual validation techniques.
Work closely with data entry teams and other analysts and stakeholders to ensure data integrity.
Perform data analysis to identify trends, patterns, and correlations.
Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI.
Collaborate with cross-functional teams to support business objectives.
Interpret data to provide strategic recommendations and business insights.
Ensure data accuracy and integrity.
Use statistical techniques and predictive modeling to improve decision-making.
Document processes and methodologies for data collection and analysis.
Required Skills & Qualifications:
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
Proficiency in data analysis tools such as SQL, Python, R, or Excel.
Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a team-oriented environment.
Attention to detail and a strong understanding of data governance principles.
Preferred Qualifications:
Experience in machine learning, predictive modeling, or statistical analysis.
Knowledge of database management and ETL (Extract, Transform, Load) processes.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.

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