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Afternoon Excel Data Analyst Jobs in Indiana (NOW HIRING)

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

Power BI Financial Analyst

Crane, IN · On-site

$100K - $120K/yr

Data Integration: Combine and model data from diverse sources such as SQL databases, Excel, APIs, and other data repositories. * Collaboration: Partner with business analysts, finance teams, and ...

Power BI Financial Analyst

Crane, IN · On-site

$100K - $120K/yr

Data Integration: Combine and model data from diverse sources such as SQL databases, Excel, APIs, and other data repositories. * Collaboration: Partner with business analysts, finance teams, and ...

Strong software skills in Excel, Access, SQL, and Visual Basic Desired Qualifications: * Bachelor's degree in Information Technology, Data Analytics, related field, plus 3-5 years of experience

Compensation Analyst

Indianapolis, IN · On-site

$70K - $80K/yr

Analyze and audit compensation and workforce data * Create reports, dashboards, and compensation analytics using Excel * Extract and analyze data from UKG and ADP Qualifications * 3+ years of ...

Analyze and audit compensation and workforce data * Create reports, dashboards, and compensation analytics using Excel * Extract and analyze data from UKG and ADP Qualifications * 3+ years of ...

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

The role will be responsible for capture, analysis, data dissemination, and follow-up of findings ... Experienced user of Microsoft Office applications such as Excel, PowerPoint, and Project. Must be ...

Showing results 21-40

Afternoon Excel Data Analyst information

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

The most popular types of Excel Data Analyst jobs in Indiana are:

What cities in Indiana are hiring for Afternoon Excel Data Analyst jobs?

Cities in Indiana with the most Afternoon Excel Data Analyst job openings:

Production Control Data Analyst

Subaru of Indiana Automotive, Inc

Lafayette, IN • On-site

$70 - $100/hr

Other

Posted 12 days ago


Subaru of Indiana Automotive rating

6.6

Company rating: 6.6 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

38th of 45 rated automakers


Job description

TheProduction Control Data Analyst is responsible for data collection and analysis used to develop production and resource strategies for the short, mid, and long term. This role will improve the efficiency of data collection and develop tools to analyze and use data to support production scheduling.

Outline of Duties:
  • Analyze various scenarios for line speed, overtime, weekend production and capacity increases.
  • Develop systems, processes, and databases to capture and visualize constraints and production projections. Report out using information as required.
  • Use data modeling tools to translate requirements into functioning, accurate data analysis solutions, including writing custom code in SQL and other languages as needed
  • Develop efficient, robust ETL processes to extract data from transactional systems and other sources; follow organizational change management procedures
  • Lead and/or support continuous improvement activities to improve analysis capability and performance; advise the business on possible and recommended metrics based on experience and industry best practice
  • Design and build reports and data visualizations, including dashboards
  • Deliver ad hoc reports and data extracts as needed
  • All other duties as assigned
Minimum Qualifications:
  • Bachelor’s degree in Information Technology, Data Analytics, related field, or equivalent years of experience
  • Strong software skills in Excel, Access, SQL, and Visual Basic
Desired Qualifications:
  • Bachelor’s degree in Information Technology, Data Analytics, related field, plus 3-5 years of experience
  • Experience in automated Manufacturing industry

Subaru of Indiana Automotive, Inc. is an equal opportunity employer committed to employing a diverse workforce.

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