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Entry Level Bi Analyst Jobs in Virginia (NOW HIRING)

This entry-level data science role supports the development of analytical tools and workflows that ... Support the development of dashboards, data visualizations, and reporting tools using modern BI ...

M365 Platform Developer

Suffolk, VA · On-site

$105K - $115K/yr

Responsibilities This entry-level data science role supports the development of analytical tools ... Support the development of dashboards, data visualizations, and reporting tools using modern BI ...

Responsibilities This entry-level data science role supports the development of analytical tools ... Support the development of dashboards, data visualizations, and reporting tools using modern BI ...

Responsibilities This entry-level data science role supports the development of analytical tools ... Support the development of dashboards, data visualizations, and reporting tools using modern BI ...

Accountant

Fairfax, VA · On-site

$68K/yr

This role blends strong technical accounting expertise with modern data analytics skills, leveraging tools such as AI-enabled analytics, automation, Power Query, and Power BI to improve reporting ...

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Entry Level Bi Analyst information

See Virginia salary details

$14

$38

$67

How much do entry level bi analyst jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for entry level bi analyst in Virginia is $38.30, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $47.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level BI Analyst, and why are they important?

To thrive as an Entry Level BI Analyst, you need a solid understanding of data analysis, statistics, and business concepts, typically supported by a bachelor’s degree in a relevant field such as computer science, information systems, or business. Familiarity with BI tools like Power BI, Tableau, or SQL databases is commonly required, and knowledge of Excel and data visualization is highly valuable. Strong problem-solving abilities, attention to detail, and effective communication skills will help you interpret and present data insights clearly to stakeholders. These skills ensure accurate data-driven decision-making and support organizational goals through actionable business intelligence.

Will AI replace a business analyst?

AI can automate routine data analysis tasks, but a business analyst's role involves interpreting complex data, understanding business context, and communicating insights, which are difficult for AI to fully replicate. Entry-level BI analysts should focus on developing skills in data visualization, critical thinking, and domain knowledge to complement AI tools and stay valuable in the evolving job market.

What is the difference between Entry Level Bi Analyst vs Data Analyst?

AspectEntry Level Bi AnalystData Analyst
Required CredentialsBachelor's in Business, IT, or related field; basic knowledge of BI toolsBachelor's in Statistics, Math, or related; proficiency in data analysis tools
Work EnvironmentBusiness intelligence teams, corporate settingsData teams, research departments, corporate or tech environments
Employer & Industry UsageFinance, retail, healthcare, tech companiesFinance, marketing, healthcare, tech sectors
Common Search & ComparisonYesYes

The Entry Level BI Analyst focuses on analyzing business data using BI tools to support decision-making, often working closely with business teams. Data Analysts have a broader scope, analyzing data sets to identify trends and insights across various industries. While both roles require similar educational backgrounds, BI Analysts typically emphasize business intelligence tools, whereas Data Analysts focus more on statistical analysis and data visualization.

What does an Entry Level BI Analyst do?

An Entry Level BI (Business Intelligence) Analyst is responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. They typically work with data visualization tools, databases, and spreadsheets to generate reports and identify trends or patterns. Their role often includes supporting senior analysts, maintaining data quality, and learning to use BI software. Entry-level BI Analysts play a crucial role in transforming raw data into actionable insights for the organization.

What are some common challenges faced by entry level BI Analysts when transitioning from academic projects to real-world business intelligence tasks?

Entry level BI Analysts often find that real-world business intelligence tasks involve working with larger, messier data sets and more complex business requirements than academic projects. They may encounter challenges such as integrating data from multiple sources, ensuring data quality, and translating business needs into actionable insights for non-technical stakeholders. Collaboration with cross-functional teams, adapting to company-specific BI tools, and managing tight deadlines are also common hurdles. However, these challenges offer valuable learning opportunities and help analysts quickly build practical, in-demand skills.

Can I work as a business analyst with no experience?

Entry-level business analyst roles often do not require prior experience, but candidates typically need strong analytical skills, familiarity with data tools like Excel or SQL, and a willingness to learn. Gaining relevant certifications or completing training programs can improve chances of securing such positions without experience.

Are BI analysts in demand?

Business Intelligence (BI) analysts are in high demand due to the increasing reliance on data-driven decision making across industries. They typically require skills in data analysis tools like SQL, Excel, and BI software such as Tableau or Power BI, and employment opportunities are expected to grow as organizations prioritize data insights.

Is a BI analyst entry-level?

A BI analyst position can be entry-level, especially for those with basic skills in data analysis, SQL, and visualization tools like Tableau or Power BI. Many companies offer entry-level BI analyst roles that require little to no prior experience, focusing instead on foundational technical skills and a willingness to learn. Advanced roles may require more experience or specialized certifications.
What are the most commonly searched types of Bi Analyst jobs in Virginia? The most popular types of Bi Analyst jobs in Virginia are:
What cities in Virginia are hiring for Entry Level Bi Analyst jobs? Cities in Virginia with the most Entry Level Bi Analyst job openings:

Associate AI Enablement Analyst

Smithfield Foods

Smithfield, VA • On-site

Full-time

Posted 8 days ago


Job description

If you are currently employed at Smithfield, please log into Workday and submit your application through the Jobs Hub. Have a seat at our table. When you join Smithfield, you become part of something special - a company that's sustainably feeding people around the world, producing good food the right way with respect for our people, animals, communities and planet.

With opportunities across locations and functions, a culture grounded in our Core Four values - gratitude, communication, respect and accountability - and a strong commitment to learning, collaboration, and innovation, Smithfield offers challenging and rewarding careers where you can grow, contribute and make a real impact. Apply Now!THE VALUE YOU'LL BRING: The position summary states the general nature and purpose of the job. Overall accountabilities are defined in this section.

Smithfield is seeking an Associate AI Enablement Analyst to support the adoption of approved AI tools across Finance, Sales, Supply Chain, Operations, Commercial, and enterprise analytics teams. This entry-level role will help business users apply AI to practical day-to-day work, including reporting automation, workflow improvement, prompt development, documentation, training support, and responsible AI usage.The role is designed for a recent college graduate or early-career professional who is highly curious, organized, analytical, and comfortable learning emerging technologies. The analyst will work closely with the Data Analytics & AI team to help scale AI adoption in a safe, governed, and business-value-focused way.WHAT YOU'LL DO: The below statements are intended to describe the general nature and level of work being performed by people assigned to this job.

They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. May perform other duties as assigned. AI Adoption & EnablementAssist business teams in learning and using approved AI tools such as Microsoft Copilot, Copilot Studio, Power BI, and other enterprise platforms.Support AI office hours, training sessions, demonstrations, and enablement workshops.Help translate business needs into simple AI-driven use cases, prompts, and workflows.Create simple, practical examples that show employees how AI can reduce manual work, improve analysis speed, and improve documentation quality.Prompt Library & Knowledge ManagementHelp build and maintain reusable prompt templates for common business needs (e.g., summaries, reporting commentary, documentation).Support organization of AI best practices, job aids, and FAQs within Teams or SharePoint.Contribute to a centralized AI knowledge base with examples, use cases, and reusable assets.Use Case Intake & Workflow DocumentationAssist with intake of AI use case ideas across functions such as Finance, Sales, Supply Chain, and Operations.Help document current workflows and identify opportunities for AI-driven improvements.Support basic process mapping, requirements gathering, and documentation.Prepare simple summaries for review by senior team members.Governance, Risk, and Responsible AI SupportHelp maintain an AI use case registry, prompt library inventory, and lightweight lifecycle documentation.Support documentation of responsible AI practices, including data handling, human review, validation steps, and escalation paths.Ensure AI enablement materials reinforce Smithfield's expectations for data security, confidentiality, accuracy, and appropriate use.Partner with senior team members to ensure AI use cases align with internal governance, audit, and compliance expectations.Adoption Metrics & ReportingTrack AI training attendance, office hour participation, prompt library usage, use case pipeline activity, and adoption feedback.Help create dashboards or scorecards that show AI enablement progress, business engagement, and productivity opportunities.Gather user feedback and summarize recurring questions, friction points, and training needs.Business Support & Continuous ImprovementAssist analysts and business users in applying AI to routine work such as report documentation, meeting recaps, data quality checks, dashboard explanations, and recurring analysis.Identify repetitive support tasks that could be turned into self-service guides, prompts, automations, or standard templates.Stay current on emerging AI capabilities and summarize relevant updates for the team.WHAT WE'RE SEEKING: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.

The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals to perform the essential functions. Education & Experience: Bachelor's Degree from an accredited four-year college or university in Business Analytics, Data Analytics, Information Systems, Finance, Supply Chain, Computer Science, Industrial Engineering, or related field, or equivalent combination of education and experience, required.Company will consider a currently enrolled college student with an anticipated graduation by end of current school year as qualified.Other Experience: 2 years of professional AI-related experience preferred; internships, co-ops, analytics projects, or coursework.AI & Automation Interest: Strong interest in artificial intelligence, analytics, automation, and business process improvement, with basic familiarity using tools such as Microsoft Copilot, ChatGPT, Claude, Gemini, or similar platforms.Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical concepts into clear, business-friendly language.Organization & Attention to Detail: Highly organized with strong attention to detail and the ability to manage multiple priorities effectively.Technical & Microsoft 365 Proficiency: Comfortable working within Microsoft 365 tools, including Excel, PowerPoint, Teams, SharePoint, and Outlook.Collaboration & Work Environment: Ability to work in an in-office setting and collaborate directly and effectively with cross-functional business teams.OTHER SKILLS THAT MAKE YOU STAND OUT:Experience with Power BI, Power Automate, Copilot Studio, Databricks/Snowflake, SQL, Python, or Excel advanced formulas.Familiarity with finance, supply chain, manufacturing, or food production business processes.Experience creating training materials, SOPs, documentation, dashboards, or process maps.Exposure to prompt engineering, workflow automation, or low-code/no-code tools.Strong curiosity and willingness to learn new AI tools quickly.

Relocation Package Available No EEO Information Smithfield is an equal opportunity employer committed to workplace diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, gender identity, protected veterans status, status as a disabled individual or any other protected group status or non-job characteristic as directed by law. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the employment selection process, please call us at 757-357-1595.