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Entry Level Data Analysis Excel Jobs in Ohio (NOW HIRING)

Associate

Beachwood, OH · On-site

$90K - $100K/yr

Completes ad hoc data queries & analysis in Excel or other tools. * Demonstrates superb attention to detail. Client Engagement: * High level of exposure to C-suite leadership. * Responsible for ...

Associate

Columbus, OH · On-site

$90K - $100K/yr

Completes ad hoc data queries & analysis in Excel or other tools. * Demonstrates superb attention to detail. Client Engagement: * High level of exposure to C-suite leadership. * Responsible for ...

Participate in ESH meetings to discuss and provide further analysis on statistical findings ... Excel and PowerPoint * Excellent oral and written communication skills and diverse report ...

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

Data Analysis: Apply thorough technical knowledge to large datasets, conducting exploratory data ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

Associate

Beachwood, OH

$90K - $100K/yr

Completes ad hoc data queries & analysis in Excel or other tools. * Demonstrates superb attention to detail. Client Engagement: * High level of exposure to C-suite leadership. * Responsible for ...

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Data Entry Clerks

Walton Hills, OH · On-site

$18 - $19/hr

Utilize Microsoft Office tools, especially Excel, to perform data entry, analysis, and reporting tasks * Manage large volumes of information with high accuracy using 10-key typing skills and keyboard ...

Showing results 21-40

Entry Level Data Analysis Excel information

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 the most commonly searched types of Data Analysis Excel jobs in Ohio? The most popular types of Data Analysis Excel jobs in Ohio are:
What job categories do people searching Entry Level Data Analysis Excel jobs in Ohio look for? The top searched job categories for Entry Level Data Analysis Excel jobs in Ohio are:
What cities in Ohio are hiring for Entry Level Data Analysis Excel jobs? Cities in Ohio with the most Entry Level Data Analysis Excel job openings:
Infographic showing various Entry Level Data Analysis Excel job openings in Ohio as of July 2026, with employment types broken down into 84% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

Data Analyst Mid - GEOINT Technical SME

TULK | Swift · Wise · Counsel

Dayton, OH • On-site

Full-time

Re-posted 25 days ago


Job description

Job Summary:
TULK is a leading boutique consulting firm providing technology and management consulting services to the U.S. Federal Government. They are seeking a Data Analyst - GEOINT Technical SME to support geospatial intelligence, business analytics, data visualization, and mission data management activities.
Responsibilities:
• Develop data analytics, dashboards, reports, charts, graphs, and other visualizations using industry-standard data analysis and data science practices.
• Transform complex data sets from multiple sources into understandable visual products that support leadership, mission, and business decision-making.
• Collaborate with project requestors, stakeholders, subject matter experts, and project managers to refine requirements and clarify business objectives.
• Use data analytics to identify issues, draw logical conclusions, form business insights, and recommend ways to improve organizational performance and efficiency.
• Support the development, integration, maintenance, and sustainment of analytic models, visualizations, and tools.
• Support risk scoring, anomaly detection, performance monitoring, metrics tracking, and related data analysis implementations as required.
• Capture, maintain, and analyze statistics, timelines, system performance data, and other operational metrics.
• Prepare reports, briefings, dashboards, and visual summaries for internal teams, technical stakeholders, and leadership audiences.
• Support policy, process, and business operations activities by contributing data analysis, technical editing, documentation, and reporting support.
• Use scripting and automation techniques to manipulate, analyze, clean, transform, or visualize data as needed.
• Support geospatial data analysis and related GEOINT mission activities using applicable tools, data sets, and technical methods.
• Work independently and collaboratively in a dynamic environment with changing priorities and short suspense timelines.
Qualifications:
Required:
• Top Secret / SCI security clearance
• U.S. Citizenship
• Bachelor’s degree in Data Science, Statistics, Business, Geography, Geospatial Information Systems, Computer Science, Information Systems, or a related field, or equivalent relevant experience.
• 6 or more years of relevant experience developing data analytics, visualizations, analytic models, dashboards, or data-driven business products.
• Demonstrated experience using data to form business insights, draw logical conclusions, and support performance-improving strategies.
• Demonstrated experience collaborating with stakeholders to clarify project needs, business objectives, data requirements, and analytical questions.
• Experience creating and editing visual content such as charts, graphs, dashboards, and briefing materials to represent data clearly.
• At least 12 months of demonstrated experience using one or more geospatial or GEOINT-related tools such as ArcGIS, ArcView, RemoteView, ArcIMS, ERDAS Imagine, or similar geospatial analysis tools.
• Demonstrated coding or scripting experience using tools such as Python, Java, or similar languages to support data manipulation, analysis, automation, or visualization.
• Demonstrated ability to use SharePoint, Tableau, Redmine, databases, or other systems to manipulate data, manage information, and build data visualizations.
• Strong organizational and communication skills, with the ability to work effectively in a team-oriented mission environment.
• Proficiency with Microsoft Office tools, including Excel and PowerPoint.
Preferred:
• Experience supporting GEOINT, Intelligence Community, Department of Defense, or national security missions.
• Experience supporting insider threat, risk scoring, anomaly detection, or similar security-focused analytics programs.
• Experience with policy development, process improvement, business operations, or performance management initiatives.
• Experience with GEOINT analysis software, NGA mission applications, geospatial data sets, or mission reporting tools.
• Experience using Tableau, Python, SQL, GIS tools, SharePoint, or other business intelligence and data visualization platforms.
• Experience preparing executive-level briefings, technical reports, dashboards, and visual summaries for senior stakeholders.
• Experience with data quality analysis, data cleansing, data transformation, and data integration across multiple sources.
Company:
TULK llc provides Executive Management and Strategic Technology consulting to thought leaders and next-gen technology implementers within the Federal and Commercial sectors. Founded in 2013, the company is headquartered in Virginia, USA, with a team of 11-50 employees. The company is currently Early Stage.