1

Overnight Data Analysis Excel Jobs (NOW HIRING)

Data Analyst (Master Data / MS Excel) Duration: 04+ Months Location: PISCATAWAY,NJ. Description ... Familiarity with data analysis and visualization; experience with manipulating complex data to ...

Financial Analyst

Evansville, IN ยท On-site

$35 - $40/hr

The role focuses on data analysis, Excel reporting, SAP data extraction, and tracking project spend across large capital projects. Responsibilities: Analyze project financial data, costs, and actual ...

Power BI, Tableau, Excel, Snowflake, Salesforce, SharePoint, Varicent, or similar reporting, data, sales, or compensation platforms. * Compensation analytics, incentive analytics, SPIFFs ...

Use SQL, Python, Power BI, Excel, Tableau, Snowflake, Salesforce, Varicent, and related tools to analyze data, automate processes, validate results, and deliver business insights. * Sales Planning ...

Director, Data Analysis

Lake Forest, IL ยท On-site

$92K - $133K/yr

Deliver hands-on analytics and reporting by compiling and analyzing data from multiple sources using tools such as Databricks, SQL, Python, Excel, and Power BI. * Develop and deliver insights and ...

next page

Showing results 1-20

Overnight Data Analysis Excel information

See salary details

$34K

$82.6K

$136K

How much do overnight data analysis excel jobs pay per year?

As of Jul 8, 2026, the average yearly pay for overnight data analysis excel 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 cities are hiring for Overnight Data Analysis Excel jobs? Cities with the most Overnight Data Analysis Excel job openings:
What are the most commonly searched types of Data Analysis Excel jobs? The most popular types of Data Analysis Excel jobs are:
What states have the most Overnight Data Analysis Excel jobs? States with the most job openings for Overnight Data Analysis Excel jobs include:

Data Analyst (Excel) - Remote

YO AI Labs

San Francisco, CA โ€ข Remote

Full-time

Posted 7 days ago

New


Job description

Job Title: Data Analyst (Excel)

Job Type: Contractor

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.

Key Responsibilities:

  • Conduct in-depth data analysis using Microsoft Excel to extract actionable insights and support decision-making across teams.
  • Collaborate with project stakeholders to understand data requirements and translate them into meaningful analyses.
  • Review, clean, and validate datasets to ensure accuracy, consistency, and integrity.
  • Develop clear, concise reports and visualizations to communicate findings to both technical and non-technical audiences.
  • Identify trends, anomalies, and opportunities in complex datasets, contributing to strategic initiatives.
  • Document methodologies, results, and recommendations with meticulous attention to detail.
  • Contribute expertise to enhance data-driven decision-making processes within the customer's team.

Required Skills and Qualifications:

  • Proven experience performing data analysis in a business environment using Microsoft Excel as the primary tool.
  • Exceptional attention to detail and accuracy in data processing and reporting.
  • Strong written and verbal communication skills, with the ability to clearly articulate analytical findings.
  • Demonstrated ability to work collaboratively across teams to drive business outcomes.
  • Solid understanding of Excel functions, formulas, and data visualization tools.
  • Proficiency in identifying data inconsistencies and implementing corrective measures.
  • Experience working in fast-paced, data-driven organizations.

Preferred Qualifications:

  • Experience supporting cross-functional teams with data insights to inform business strategy.
  • Background in presenting analytical outcomes to diverse audiences.
  • Familiarity with additional data analysis tools or business intelligence platforms.