ZipRecruiter

Log In

2

Entry Level Data Analysis Excel Jobs in Washington, DC

Varsity Tutors

Data Analysis Tutor

College Park, MD · Remote

$18 - $40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

AaraTechnologies Inc

DATA ANALYST

Maryland City, MD · On-site

Document metrics and reports Required Qualifications * 2-3 years of experience in data analysis or reporting * Strong SQL skills * Proficiency in Excel * Experience with Tableau or Power BI

AaraTechnologies Inc

DATA ANALYST

Maryland City, MD · On-site

Document metrics and reports Required Qualifications * 2-3 years of experience in data analysis or reporting * Strong SQL skills * Proficiency in Excel * Experience with Tableau or Power BI

AARP

Data Analyst Intern

Washington, DC · On-site

$28/hr

Proficient in Microsoft Office and familiar with data analysis tools (Excel, R, Python, SQL), basic data visualization platforms (Tableau, Power BI), and statistical concepts * Strong problem-solving ...

ASHLIN Management Group, Inc.

Data Analyst

Bowie, MD · On-site

... analysis background * Develop data reports using the following tools and technologies: * MS-Excel (Pivot Tables, VBA, Power Pivot, H-Lookup, V-Lookup, Import/Export from/to external data sources)

Calibre CPA Group

Data Analyst

Bethesda, MD

$80K - $95K/yr

This role also drives internal data analysis for firm operations and analyzes industry-relevant ... Present findings in clear, user-friendly formats including Excel workbooks, Power BI dashboards ...

Ardent

Performance/Data Analyst

Washington, DC

Ardent is seeking a Performance/Data Analyst to join our team. This is a on-site position in ... Utilize tools such as Excel, Python, and R to conduct analysis and reporting activities.

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

Excel & analysis skills * You are comfortable doing serious work in Excel, including several of the ... Data tables, simulations, and Solver * (Bonus) VBA and macros * AI, data, and analytics work you ...

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

Excel & analysis skills * You are comfortable doing serious work in Excel, including several of the ... Data tables, simulations, and Solver * (Bonus) VBA and macros * AI, data, and analytics work you ...

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

Excel & analysis skills * You are comfortable doing serious work in Excel, including several of the ... Data tables, simulations, and Solver * (Bonus) VBA and macros * AI, data, and analytics work you ...

previous pagenext page

Showing results 21-40

All JobsData Analysis Excel JobsEntry Level Data Analysis Excel JobsEntry Level Data Analysis Excel Jobs in Washington, DC

Entry Level Data Analysis Excel information

See Washington, DC salary details

$14

$37

$69

How much do entry level data analysis excel jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for entry level data analysis excel in Washington, DC is $37.29, according to ZipRecruiter salary data. Most workers in this role earn between $23.94 and $41.63 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Analysis Excel vs Data Analyst?

AspectEntry Level Data Analysis ExcelData Analyst
Required SkillsBasic Excel, data entry, simple analysisAdvanced Excel, SQL, data visualization, statistical analysis
CertificationsNone or beginner Excel certificationsRelevant certifications like Microsoft Excel Expert, SQL certifications
Work EnvironmentEntry-level roles in various industries, often in office settingsMid-level roles in diverse industries, often involving complex data projects
Job ResponsibilitiesData entry, basic reporting, data cleaningData analysis, reporting, creating dashboards, interpreting data trends

Entry Level Data Analysis Excel focuses on basic data tasks using Excel, suitable for beginners. Data Analysts perform more complex analysis, often requiring additional skills like SQL and data visualization. While both roles work in office environments and require some Excel knowledge, Data Analysts handle more advanced responsibilities and typically have more certifications or experience.

What are the key skills and qualifications needed to thrive as an entry level data analyst using Excel?

To thrive as an Entry Level Data Analyst with an Excel focus, you need strong analytical skills, attention to detail, and a foundational understanding of data concepts, often supported by a relevant degree or coursework. Proficiency in Microsoft Excel, including formulas, pivot tables, and data visualization tools, is essential, and familiarity with basic data analysis software or certifications like Microsoft Office Specialist can be advantageous. Strong communication, problem-solving ability, and organizational skills help you interpret and present data insights effectively. These skills are crucial for accurately analyzing data, supporting business decisions, and contributing value to your team from the start.

What are some common challenges faced by entry level data analysts working primarily with Excel, and how can they be addressed?

Entry-level data analysts using Excel often encounter challenges such as managing large datasets that may exceed Excel’s capacity, ensuring data accuracy during manual data entry, and learning to use advanced functions like pivot tables, VLOOKUP, and data visualization tools effectively. To address these, it's helpful to become proficient with Excel shortcuts, regularly validate data for errors, and seek out training resources or mentorship from experienced team members. Collaborating closely with colleagues can also provide insights into best practices for organizing and analyzing data efficiently in a team environment.

What is an entry level data analysis Excel job?

Entry level data analysis Excel jobs are positions designed for individuals who are new to the field of data analysis and primarily use Microsoft Excel to organize, analyze, and visualize data. These roles typically involve tasks such as cleaning data, creating reports, building charts, and using formulas to draw insights from datasets. They are ideal for recent graduates or career changers and often serve as a stepping stone to more advanced data analyst roles. Proficiency in Excel, attention to detail, and basic analytical thinking are key skills for these jobs.
What are popular job titles related to Entry Level Data Analysis Excel jobs in Washington, DC? For Entry Level Data Analysis Excel jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analysis Excel jobs in Washington, DC look for? The top searched job categories for Entry Level Data Analysis Excel jobs in Washington, DC are:
Entry Level Data Analysis Excel jobs near you
Infographic showing various Entry Level Data Analysis Excel job openings in Washington, DC as of July 2026, with employment types broken down into 7% Internship, 85% Full Time, and 8% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $77,568 per year, or $37.3 per hour.

WBG Pioneer - Data Analysis Intern

The World Bank Group

Washington, DC • On-site

Internship

Posted 18 days ago

Job description

WBG Pioneer

Background/Organizational Context

The World Bank Group'sWomen, Business and the Law (WBL) project examines laws and regulationsaffecting women's prospects as entrepreneurs and employees across 190economies. Its goal is to inform policy discussions on how to remove legalrestrictions on women and promote research on how to improve women's economicinclusion. The Women, Business and the Law index serves as a road mapfor reform by capturing three interdependent pillars that together shapewomen's access to jobs: laws, policies and institutions, andenforcement perceptions across ten topics: Safety, Mobility, Work,Pay, Marriage, Parenthood, Childcare, Entrepreneurship, Assets, and Pension.

Duties and Responsibilities

Data Preparation, Cleaning, and Quality Control:

Clean, validate, and reconcile large, multi-source datasets, identifying and correcting errors in data values, structures, and formulas.

Develop and apply systematic processes to standardize, map, and reconcile data across teams, systems, and file formats, while using automated checks to flag inconsistencies for review.

Prepare API-ready data outputs, including JSON files, for data feeds, website visualizations, and other digital applications.

Develop and implement data-cleaning protocols, validation rules, and automated quality checks.
Conduct data audits and produce monitoring and quality-assurance reports to identify issues and track their resolution.

Data Analysis:

Analyze data to identify trends, patterns, and actionable insights, and prepare analytical, progress, and monitoring reports using tools such as Excel or Python.

Present findings clearly to technical and non-technical audiences through reports, presentations, and other communication products.

AI Integration: 

Pilot AI-powered workflow to enhance data quality, integrity, and operational efficiency. 

Conduct AI-driven analysis to support data validation and insights generation. 

Establish monitoring and evaluation mechanisms to track AI model performance and ensure continuous improvement. 

Ensure transparency and documentation of AI workflows, including prompt engineering, versioning, and reproducibility. 

Suggest ways to automate verification of survey responses with primary data sources, check survey responses against each other and follow up with respondents until a final, verified country profile is produced.  

Identify and mitigate risks related to bias, accuracy, and reliability of AI-generated outputs. 

Data Visualization:

Interpret complex datasets and develop clear, intuitive visualization concepts that communicate key findings to technical and non-technical audiences.

Develop prototypes, mock-ups, and data visualization products for dashboards, websites, reports, and other digital applications, using tools such as Tableau, Flourish, Power BI, or similar platforms to create compelling, user-friendly visualizations.

Apply