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Senior Power Bi Data Analyst Jobs in Raleigh, NC

Data Product Architect

Morrisville, NC · On-site

$59.75 - $76.75/hr

Power BI: Microsoft Certified: Power BI Data Analyst Associate * Additional relevant industry certifications are highly welcomed. Education Bachelor's degree in computer science or management ...

Sr. Data Analyst

Cary, NC · On-site

$81K - $103K/yr

Senior Data Analyst Location: Cary, NC - Fulltime Position Technical Skillset ... Excellent knowledge in Cognos and other BI tool * Ownership and Proactive approach * Expert in ...

Senior Data Analyst

Cary, NC · On-site

$79K - $100K/yr

Excellent knowledge in Cognos and other BI tool • Ownership and Proactive approach • Expert in Cognos Report Studio and Framework Manager • Immense experience as Data Analyst and has handled ...

MO 85-Power BI and Data Engineer

Cary, NC · On-site

$107K - $128K/yr

This job is hybrid in Raleigh, NC Our client has an opening for Power BI and Data engineer (806590 ... Synapse Analytics. * Please provide a brief description of recent hands-on development work in ...

New

... and Power BI. Knowing R or Python would be really helpful. Your meticulous approach results in ... data analysis and fresh insight discovery. Essential is the capacity to succinctly and simply ...

Showing results 21-40

Senior Power Bi Data Analyst information

See Raleigh, NC salary details

$53.5K

$96.5K

$131.7K

How much do senior power bi data analyst jobs pay per year?

As of Aug 8, 2026, the average yearly pay for senior power bi data analyst in Raleigh, NC is $96,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $105,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Power Bi Data Analyst vs Power BI Data Analyst?

AspectSenior Power Bi Data AnalystPower BI Data Analyst
Required CredentialsTypically requires 3+ years experience, certifications like Microsoft Certified: Data Analyst AssociateEntry to mid-level, often with similar certifications but less experience
Work EnvironmentProjects involving complex data analysis, leadership roles, mentoringData visualization, reporting, basic analysis tasks
Employer & Industry UsageUsed across industries for strategic insights, often in larger organizationsCommon in various industries for operational reporting and dashboards

The main difference lies in experience and scope. Senior Power Bi Data Analysts handle complex projects, lead teams, and provide strategic insights, while Power BI Data Analysts focus on creating reports and dashboards with less managerial responsibility.

What are the key skills and qualifications needed to thrive as a senior Power BI data analyst, and why are they important?

To thrive as a Senior Power BI Data Analyst, you need advanced proficiency in data analysis, data visualization, and a strong understanding of business intelligence concepts, typically supported by a degree in a quantitative field and relevant experience. Expertise in Power BI, DAX, SQL, and familiarity with other data tools or certifications like Microsoft Certified: Data Analyst Associate are commonly required. Strong problem-solving abilities, communication skills, and stakeholder management make a candidate stand out in this role. These skills ensure the delivery of actionable insights that drive business decisions and enhance organizational performance.

How does a senior Power BI data analyst typically collaborate with business stakeholders to deliver impactful insights?

A Senior Power BI Data Analyst works closely with business stakeholders to understand their data needs, define key performance indicators, and translate requirements into actionable dashboards and reports. Regular collaboration occurs through meetings, workshops, and iterative feedback sessions to ensure deliverables align with business goals. This role often acts as a bridge between technical teams and non-technical users, ensuring data is presented in a clear and accessible manner. Effective communication and the ability to explain complex analytics in simple terms are crucial for driving data-driven decision-making across the organization.

What is a senior Power BI data analyst?

A Senior Power BI Data Analyst is an experienced professional responsible for designing, developing, and managing business intelligence solutions using Microsoft Power BI. They analyze complex data sets, create interactive dashboards and reports, and provide insights to help organizations make data-driven decisions. In addition to technical skills, they often mentor junior analysts and collaborate with stakeholders to understand business requirements. Their role typically involves data modeling, data visualization, and ensuring data quality and security.
What are the most commonly searched types of Power Bi Data Analyst jobs in Raleigh, NC? The most popular types of Power Bi Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Senior Power Bi Data Analyst jobs? Cities near Raleigh, NC with the most Senior Power Bi Data Analyst job openings:

Data Product Architect

NetApp, Inc.

Morrisville, NC • On-site

$59.75 - $76.75/hr

Full-time

Re-posted 22 days ago


NetApp rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

2nd of 483 rated business services


Job description

Job Summary
NetApp seeks a dynamic and innovative Data Product Architect to join our Enterprise Data & Analytics team. In this position, you will convert raw data into actionable insights that enhance decision-making and improve customer outcomes within Customer Success Operations (CSOps) and Professional Services Operations (PSOps).
You will design scalable data models, build robust data pipelines, and explore cutting-edge technologies such as advanced analytics, data science, machine learning, and AI tools for coding, SQL generation, data modeling, and conversational analytics. Utilizing these technologies, you will create data products that automate workflows and strengthen decision-making. Your work will enable teams to harness data to boost operational efficiency, increase customer engagement, and elevate overall business performance.
At NetApp, we prioritize ownership, a growth mindset, customer focus, inclusivity, and high performance. We encourage applicants from diverse backgrounds and experiences, emphasizing skills and potential above traditional credentials. This hybrid role requires presence at the NetApp RTP office three days per week.
Key Responsibilities
Design and refine data models that effectively support enterprise analytics and reporting requirements. Establish clear data structures, define relationships, and set metadata standards to ensure scalability and optimal performance.
Construct, enhance, and assess data pipelines to produce reliable, production-ready systems. Employ tools such as Oracle Data Warehouse, Snowflake, HVR, and Informatica IICS to streamline workflows.
Harness AI technologies for coding assistance, SQL generation, data modeling, and conversational analytics. Create intelligent data products that automate workflows and improve decision-making processes.
Comprehend business needs within CSOps and PSOps, translating them into precise technical designs and architectural documentation. Align solutions with organizational goals while collaborating with cross-functional teams to deliver effective data-driven outcomes.
Implement Waterfall and Agile/Scrum methodologies throughout project lifecycles, ensuring adherence to compliance standards, especially concerning financial data and operational controls.
Job Requirements
Expertise in SQL, RESTful APIs, and Python, with NoSQL experience considered an advantage.
At least five years of experience working with data platforms such as Oracle Data Warehouse, Snowflake, and Informatica IICS.
A minimum of five years of practical Power BI experience, covering semantic modeling, DAX, dashboard creation, and enterprise-level reporting.
Proficient in Git-based version control and Azure DevOps CI/CD methodologies for efficient code management, deployment, and release processes.
At least two years of experience utilizing AI tools for coding, SQL generation, data modeling, and conversational analytics.
Outstanding written and verbal communication and presentation skills.
Strong analytical thinking and problem-solving capabilities.
Collaborate effectively with stakeholders including Project Managers, Delivery Managers, and Architects on both projects and operational tasks.
Demonstrated ability to work seamlessly within cross-functional teams and to influence stakeholders.
Preferred Certifications:
  • Snowflake: Snowflake SnowPro Core Certification
  • TOGAF: TOGAF 9 Certified or TOGAF Standard, Version 10 Certification
  • Power BI: Microsoft Certified: Power BI Data Analyst Associate
  • Additional relevant industry certifications are highly welcomed.

Education
Bachelor's degree in computer science or management information systems.
Minimum of five years of experience is required; 5 to 8 years of experience is preferred. including three or more years in Business Analytics or relevant domains.

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