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Data Analyst Powerbi Developer Jobs in Alaska (NOW HIRING)

Data Engineer

Anchorage, AK · On-site

$116K - $140K/yr

Bachelor's degree in Computer Science, Engineering, Computer Information Systems, Mathematics ... Enable data-driven decisions by analyzing data, profiling systems, and deploying machine learning ...

New

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Data Scientist Associate

Anchorage, AK · On-site

$61K - $61K/yr

... analytics, data modeling, visualization, and data governance; feature engineering; use of statistical methods, techniques and theory. Employee Health Requirements: Compliance with our Employee Health ...

Showing results 21-40

Data Analyst Powerbi Developer information

What is the difference between Data Analyst Powerbi Developer vs Data Analyst?

AspectData AnalystPowerbi Developer
Primary RoleAnalyzes data to generate reports and insightsDesigns and develops Power BI dashboards and reports
Skills & CertificationsExcel, SQL, data visualization, basic BI toolsPower BI, DAX, data modeling, SQL, certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentBusiness intelligence teams, data departmentsBI teams, data visualization departments
Industry UsageAcross various industries for data analysisPrimarily in organizations using Power BI for reporting

While both roles involve working with data, a Data Analyst focuses on analyzing data and generating insights, whereas a Powerbi Developer specializes in creating interactive dashboards and reports using Power BI. The Powerbi Developer often requires advanced skills in Power BI tools and DAX, making their role more technical in report development.

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What cities in Alaska are hiring for Data Analyst Powerbi Developer jobs?

Cities in Alaska with the most Data Analyst Powerbi Developer job openings:

Data Engineer

Anchorage, AK • On-site

Google
Software Development • 10K+ employees

$116K - $140K/yr

Other

Posted 2 days ago

New


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz


Job description

Minimum qualifications
  • Bachelor’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics, or a related field and 5 years of progressive post-baccalaureate experience in the job offered or in a Data Engineer-related occupation.
  • Alternatively, will accept a Master’s degree in Computer Science, Engineering, Computer Information Systems, Mathematics, Physics or a related field, and 3 years of experience in the job offered or in a Data Engineer-related occupation.

Position requires 3 years of experience in the following: Data pipeline design and dimensional data modeling for synchronous and asynchronous system integration; Coding in Python, Java, Go, or C++ to build and maintain data infrastructure; Data pipeline implementation using external or internal data processing stacks; Data exploration by performing exploratory queries and scripts on data models; and Data consumption and visualization using business intelligence tools including Tableau, Power BI, or DataStudio.

Position requires 3 years of experience in the following: Data pipeline design and dimensional data modeling for synchronous and asynchronous system integration; Coding in Python, Java, Go, or C++ to build and maintain data infrastructure; Data pipeline implementation using external or internal data processing stacks; Data exploration by performing exploratory queries and scripts on data models; and Data consumption and visualization using business intelligence tools including Tableau, Power BI, or DataStudio.

About the job

Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.

The US base salary range for this full-time position is $220,050 - $226,000 +15% Bonus Target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.

Position reports to the Google (Mountain View, CA) office & may allow for a hybrid schedule as per Google policy.

Responsibilities
  • Design and build secure, scalable, and reliable data processing systems and infrastructure.
  • Develop and maintain data models and pipelines to transform data for analysis and machine learning.
  • Enable data-driven decisions by analyzing data, profiling systems, and deploying machine learning models.
  • Create and consult on data visualizations and reports using various business intelligence tools. Consult with cross-functional partners to define data requirements, standards, and best practices.
  • Provide ongoing support to data users by maintaining dashboards, authoring documentation, and delivering training.
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