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Entry Level Bi Analyst Jobs in Dallas, TX (NOW HIRING)

Job Title: Entry-Level Data Analyst Summary We are looking for a motivated Entry-Level Data Analyst ... Create dashboards and visual reports using Microsoft Power BI Write SQL queries to extract data ...

Business Analyst - Entry Level Category: Business Analysis (functional and technical) Main location ... BI, Tableau, Excel) to support analysis. • Communicate findings and recommendations clearly ...

Senior Specialist Tax

Dallas, TX · On-site

$87K - $130K/yr

This entry-level role is responsible for gathering, organizing, and analyzing data requested by ... Experience with Excel, Power BI, Microsoft Copilot, or similar analytical tools, and the ability to ...

New

Senior Specialist Tax

Dallas, TX · On-site

$87K - $130K/yr

This entry-level role is responsible for gathering, organizing, and analyzing data requested by ... Experience with Excel, Power BI, Microsoft Copilot, or similar analytical tools, and the ability to ...

New

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Entry Level Bi Analyst information

See Dallas, TX salary details

$14

$38

$67

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

As of Aug 30, 2026, the average hourly pay for entry level bi analyst in Dallas, TX is $38.21, according to ZipRecruiter salary data. Most workers in this role earn between $25.67 and $47.79 per hour, depending on experience, location, and employer.

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 the key skills and qualifications needed to thrive as an entry level BI analyst?

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.

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.

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 are the most commonly searched types of Bi Analyst jobs in Dallas, TX?

The most popular types of Bi Analyst jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Entry Level Bi Analyst jobs?

Cities near Dallas, TX with the most Entry Level Bi Analyst job openings:

Infographic showing various Entry Level Bi Analyst job openings in Dallas, TX as of August 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 89% In-person, and 11% Hybrid job distribution, with an average salary of $79,485 per year, or $38.2 per hour.

Entry-Level Data Analyst

Dallas, TX • On-site

Dhalite Inc.
11 - 50 employees

Other

Posted 5 days ago


Job description

Job Title: Entry-Level Data Analyst


Summary

We are looking for a motivated Entry-Level Data Analyst to join our analytics team. The candidate will help collect, process, and analyze data to support business decisions. This role is ideal for entry level candidates who want to start a career in data analytics.

Responsibilities

Collect and organize data from different data sources.
Clean and prepare datasets for analysis.
Analyze data to identify trends and insights.
Create dashboards and visual reports using Microsoft Power BI
Write SQL queries to extract data from databases like MySQL
Prepare weekly or monthly performance reports.
Support senior analysts with data analysis projects.


Qualifications

Bachelor s degree in Data Science, Computer Science, Economics,
0 2 years of experience or relevant internships in business intelligence, data analysis, or reporting
Familiarity with at least one data visualization tool
Basic knowledge of statistics
Strong analytical and problem-solving skills
Good communication skills to present data insights clearly
Attention to detail and ability to work with large datasets