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Afternoon Excel Data Analyst Jobs in Indiana (NOW HIRING)

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.

Banner Quality Management Inc

Data Analyst

Odon, IN · On-site

Bachelor's degree in Data Analytics, Information Systems, Business, Engineering, or related field ... Experience with Power BI, Excel, and database management * Strong analytical, documentation, and ...

Posted today

campus4tech

Data Analyst

Indianapolis, IN · On-site

Data Analyst Job Location: Indianapolis IN, 46204 Job Location: Hybrid Contract Duration: 11 Months ... Excel, Word, and PowerPoint. • Effective time management and program management skills. • ...

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

... data analytics. Our clients span the public and private sectors, and our work helps them solve ... Preferred Qualifications · Proficiency in Python, including Pandas or similar libraries, and Excel ...

Harrison Steel Castings Co.

Data Analyst

Attica, IN · On-site

... Microsoft Excel and data analysis tools; experience with SQL, or similar systems preferredWorking knowledge of manufacturing processes and continuous improvement methodologiesSkills and ...

Harrison Steel Castings Co.

Data Analyst

Attica, IN · On-site

Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems preferred * Working knowledge of manufacturing processes and continuous improvement methodologies ...

AAA Auto Club Group

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 ...

Posted today

Harrison Steel Castings Co.

Data Analyst

Attica, IN · On-site

Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems preferred * Working knowledge of manufacturing processes and continuous improvement methodologies ...

CSpring

Data Analyst

Indianapolis, IN · On-site

Build ad hoc reports and perform data analysis based on evolving client needs and business ... Preferred Qualifications Proficiency in Python, including Pandas or similar libraries, and Excel.

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 ...

AAA Auto Club Group

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 ...

Posted today

System One

Operations Data Analyst

Indianapolis, IN · On-site

$59.69 - $70.22/hr

Analyze operational data using SQL and Excel to identify trends, support issue resolution, and document KPIs. * Ensure data quality, availability, and compliance with HIPAA and data governance ...

EHOB INC

Operations Data Analyst

Indianapolis, IN · On-site +1

Summary The Operations Data Analyst plays a critical role in driving operational efficiency and ... Strong Excel skills, including pivot tables, VLOOKUP, and advanced formulas * Experience with ...

PinnaclePartners

Jr Data Analyst

Indianapolis, IN

$40K - $45K/yr

Jr. Data Analyst Location: Onsite - Indianapolis, IN Pay: Up to $45K Direct Hire Pinnacle Partners ... Bachelor's degree Strong experience moving and sorting data within MS Excel Ability and willingness ...

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Afternoon Excel Data Analyst information

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.
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 are popular job titles related to Afternoon Excel Data Analyst jobs in Indiana? For Afternoon Excel Data Analyst jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Afternoon Excel Data Analyst jobs in Indiana look for? The top searched job categories for Afternoon 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:
Afternoon Excel Data Analyst jobs near you

Data Analyst

STI

Indianapolis, IN • On-site

Full-time

Re-posted 20 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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