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Entry Level Power Bi Data Analyst Jobs (NOW HIRING)

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 ...

Prophecy Power BI Data Engineer

$117K - $140K/yr

... analytics and AI readiness initiatives. Key Responsibilities: * Design and develop Power BI ... Collaborate with data architects and business stakeholders to deliver "golden copy" reporting ...

Power BI Developer

Washington, DC · On-site

$100K - $110K/yr

Expertise in Power BI, data modeling, and DAX. * Strong SQL skills - complex queries, joins, CTEs ... Build semantic layers and star schemas to enable intuitive, high-performance analytics. * Develop ...

Power BI Developer

Washington, DC · On-site

$100K - $110K/yr

Expertise in Power BI, data modeling, and DAX. * Strong SQL skills - complex queries, joins, CTEs ... Build semantic layers and star schemas to enable intuitive, high-performance analytics. * Develop ...

OB SUMMARY That Data Analyst will be responsible for developing database solutions in accordance ... T/BI environment. * Strong background in all aspects of database technology, with an emphasis on ...

Power BI Developer

Washington, DC · On-site

$100K - $110K/yr

Expertise in Power BI, data modeling, and DAX. * Strong SQL skills - complex queries, joins, CTEs ... Build semantic layers and star schemas to enable intuitive, high-performance analytics. * Develop ...

Data Analyst

Virginia, MN · On-site

$60 - $80/hr

Python, SQL, Google Cloud Platform Cloud, Pandas, Numpy, Pyspark, Power BI, data visualization tools, FLASK, DataBricks, NLP, Machine Learning, Data Mining, Statistical analysis and Data Modeling.

Conduct in-depth data analysis to support business decisions, identify trends, and provide actionable insights and recommendations. * Performance Optimization: Optimize Power BI dashboards for ...

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Entry Level Power Bi Data Analyst information

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

As of Sep 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 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 are the key skills and qualifications needed to thrive as an entry level Power BI data analyst?

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 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.

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.

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Infographic showing various Entry Level Power Bi Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Senior Data & Analytics Engineer (Microsoft Fabric & Power BI)

Manhattan, NY • On-site

RIT Solutions, Inc.
Recruiting and Staffing Services • 201 - 500 employees

$61.50 - $81.25/hr

Full-time

Re-posted 28 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a hands-on Senior Data & Analytics Engineer to design, build, and operate enterprise-grade Microsoft Fabric Lakehouse and Power BI solutions supporting marketing and customer analytics. This role is delivery-focused, owning the full lifecycle from ingestion and transformation to semantic modeling, reporting, and production operations.
Responsibilities:
• Design and implement Microsoft Fabric Lakehouse using Bronze/Silver/Gold (medallion) architecture
• Build and orchestrate pipelines using Fabric Data Factory
• Develop scalable transformations using PySpark and Spark SQL
• Model optimized star schemas and design Power BI semantic models
• Develop advanced DAX and optimize Power BI performance
• Implement incremental loads and CDC patterns
• Apply data quality checks, governance, and documentation/runbooks
• Configure Row-Level Security (RLS) and enterprise security standards
• Manage monitoring, alerting, and reliability for production workloads
• Support Dev/Test/Prod deployments using Fabric Workspaces and Deployment Pipelines
• Partner closely with Marketing, Growth, and Product stakeholders
Qualifications:
Required:
• 8–12+ years of data engineering / analytics delivery experience
• Recent hands-on delivery using Microsoft Fabric, including: Lakehouse, Data Factory, Data Engineering (Spark), Workspaces & Deployment Pipelines
• Strong Power BI experience: Semantic models, DAX, Performance optimization
• Advanced SQL, PySpark, and Spark SQL
• Experience with Delta/Parquet, partitioning, and tuning
• Marketing analytics domain experience: Web/app events, Campaign, email, and paid media data, CRM / CDP data
• Proven production experience: Monitoring & alerting, Reliability & operations, Governance and documentation
Preferred:
• Microsoft Certified: Fabric Data Engineer Associate (DP-700)
• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
• Microsoft Certified: Power BI Data Analyst Associate (PL-300)
• Azure Data Fundamentals (DP-900)
• Azure Fundamentals (AZ-900)
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.