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Entry Level Power Bi Data Analyst Jobs (NOW HIRING)

Safety National

BI Data Analyst

Saint Louis, MO · On-site

Prior hands-on experience providing reporting and/or data visualization using Power BI or SSRS ... Bachelor's degree in data analytics, information systems, computer science, or a related field

TLA-LLC

Data Analyst

Mclean, VA · On-site

Power BI Data Analyst Associate • Google Data Analytics Professional Certificate • Certified ... Analytics Professional (CAP) AWS Certified Data Analytics - Specialty (for roles involving cloud ...

TLA-LLC

Data Analyst

Mclean, VA

Power BI Data Analyst Associate Google Data Analytics Professional Certificate Certified Analytics ... Professional (CAP) AWS Certified Data Analytics - Specialty (for roles involving cloud platforms ...

Safety National

BI Data Analyst

Saint Louis, MO · On-site

Prior hands-on experience providing reporting and/or data visualization using Power BI or SSRS ... Bachelor's degree in data analytics, information systems, computer science, or a related field

1 point system

BI/Data Analyst

Dallas, TX · Remote

BI/Data Analyst Location: Remote (TX, GA, ID, OR, SC, WA) Duration: 6+ Months Contract Interview Type: Video Required Skills: * Source to target mapping - process and documentation * Strong SQL ...

Lithium Americas

BI Data Analyst

Winnemucca, NV

BI Data Analysis Company Overview Lithium Americas is a North American resource and materials ... Proficiency in Microsoft 365 applications (Excel, Power BI, Teams, Outlook, Word, etc.

Lithium Americas

BI Data Analyst

Winnemucca, NV · On-site

BI Data Analysis Company Overview Lithium Americas is a North American resource and materials ... Proficiency in Microsoft 365 applications (Excel, Power BI, Teams, Outlook, Word, etc.

Tamus

Data Analyst

College Station, TX · On-site

$4.6K/mo

Responsibilities Power BI Dashboard Design, Development and Maintenance Support * Collaborate with ... Analyze Data and Develop the Technical Reports * Support senior analysts and independently complete ...

Texas A&M University

Data Analyst

College Station, TX · On-site

$4.6K/mo

Responsibilities Power BI Dashboard Design, Development and Maintenance Support * Collaborate with ... Analyze Data and Develop the Technical Reports * Support senior analysts and independently complete ...

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

As of Jul 9, 2026, the average hourly pay for entry level power bi data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

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

To thrive as an Entry Level Power BI Data Analyst, you need a solid understanding of data analysis, statistics, and basic business intelligence concepts, often supported by a relevant degree such as in computer science or business analytics. Familiarity with Microsoft Power BI, Excel, SQL, and possibly a Power BI certification are typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret data and convey insights clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What does an Entry Level Power BI Data Analyst do?

An Entry Level Power BI Data Analyst is responsible for collecting, cleaning, and analyzing data to help organizations make informed business decisions. They use Microsoft Power BI, a data visualization tool, to create interactive dashboards and reports that present insights in a clear and accessible way. Typical tasks include importing data from various sources, transforming data sets, building visualizations, and collaborating with team members to support data-driven strategies. This role is ideal for those starting their career in data analysis and looking to develop technical and analytical skills.

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

AspectEntry Level Power Bi Data AnalystData Analyst
Required SkillsPower BI, Excel, SQL, basic data visualizationExcel, SQL, data visualization, statistical analysis
CertificationsPower BI certification preferredNone specific, general data analysis certifications
Work EnvironmentBusiness intelligence teams, data departmentsVarious industries, departments, data-focused roles
Industry UsageCommon in tech, finance, marketingWidespread across all sectors

Entry Level Power Bi Data Analysts focus on creating dashboards and reports using Power BI, while Data Analysts may work with a broader set of tools and techniques. Both roles require foundational data skills, but Power BI expertise is key for the former. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are some common challenges faced by entry-level Power BI Data Analysts, and how can they be overcome?

Entry-level Power BI Data Analysts often encounter challenges such as understanding complex datasets, translating business requirements into effective visualizations, and ensuring data accuracy. To overcome these, it's important to communicate closely with stakeholders to clarify reporting needs, invest time in learning Power BI features, and regularly validate data sources for consistency. Joining team meetings and collaborating with more experienced analysts can also help build skills and confidence in handling real-world data tasks.
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Entry Level Power Bi Data Analyst jobs near you
Infographic showing various Entry Level Power Bi Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Data Analyst (Power BI & Analytics)

Data Analyst (Power BI & Analytics)

Techtronic Industries (TTI)

Anderson, SC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Techtronic Industries TTI rating

8.2

Company rating: 8.2 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

104th of 427 rated machine equipment manufacturers

Job description

Job Description:
TTI Floorcare has an opening in the Anderson, SC corporate office for a Quality Data Analyst (Power BI & Analytics).
We offer competitive wages and a comprehensive benefits package -- tuition assistance, 401(k), medical/dental/vision coverage, vacation, and holidays.
The Quality Data Analyst plays a critical role in transforming quality data into actionable insights that drive performance, traceability, quality, and continuous improvement across global systems. As part of a world class company and a global Quality organization, this role combines expertise in data analytics, data systems, and business analysis to support New Product Development (NPD) and continuous improvement initiatives-delivering clear, decision-ready insights that can be understood by both technical and non-technical audiences.
Specific duties include:
Power BI Reports (Reporting & Visualization)
  • Design and implement Power BI dashboards and reporting tools to monitor key quality KPIs combining data from different sources such as return rates, warranty claims, consumer stars, and supporting data to paint a clear picture of product health and enabling rapid root cause analysis.
  • Translate complex datasets into clear visualizations and insights to guide improvement activities, including the ability to communicate findings effectively to lay audiences and business stakeholders.
  • Author and maintain report-layer assets in Power BI, using DAX and Power Query (M) as appropriate for report-level transformations and measures.
  • Work in a Power BI Project (PBIP) and source-controlled environment.

Analytics (Statistics, Business Analysis, Insight Generation)
  • Apply statistical methods to uncover process trends, detect anomalies, and enable data-driven decision making across quality data streams to quantify performance drivers, and to explain "what changed" and "why it matters."
  • Develop predictive models for defects, warranty claims, and service trends to drive proactive improvements.
  • Collaborate with quality and service teams to analyze feedback loops and enhance product reliability.
  • Support NPD launch readiness by building analytical baselines and monitoring stability during ramp-up.
  • Leverage evolving AI capabilities to accelerate analysis and insight discovery, while maintaining sound analytical judgment and clear interpretation of results.

Education and Experience Requirements
  • Bachelor's degree in engineering, data science, or related field required.
  • Strong proficiency in Power BI and experience authoring DAX measures.
  • Knowledge of statistical analysis and process control concepts, applied to quality outcomes and business decision-making (e.g., trend/variance analysis, anomaly detection, segmentation).
  • Demonstrated ability to analyze large, complex datasets and develop actionable insights that translate into measurable outcomes.
  • Strong communication skills with demonstrated ability to explain analytics to lay audiences, including concise written summaries and clear verbal walkthroughs of "what changed, why it matters, and what to do next."

Recommended Experience
  • Working knowledge of Python preferred for analytics and repeatable analysis workflows.
  • Familiarity with SAP financial tables and Snowflake.
  • Experience using Power Query (M).
  • Familiarity with modern quality and service data platforms (e.g., Axion) and the ability to understand data provenance well enough to interpret analytics correctly.
  • Experience working in a Power BI Project (PBIP) and source-controlled environment.

Competencies and Personal Attributes
  • Data-Driven & Relentless Improvement: Use data to challenge the status quo and drive continuous improvement with speed and urgency.
  • Extreme Ownership & Agility: Take full accountability for learning, adapting, and delivering solutions in dynamic environments.
  • Solution-Driven Execution: Translate insights into actionable outcomes with urgency and measurable impact.
  • One Team & Candid Communication: Foster trust through open dialogue and collaboration, celebrating shared success.
  • Curiosity and agility: Adapt to evolving data architectures and advanced AI technologies. Embrace change and innovation to revolutionize processes and deliver breakthrough solutions.

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