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Google Bi Jobs (NOW HIRING)

... or Google Cloud. • Experience with ETL/ELT frameworks and data integration processes. • ... BI, Tableau, Azure Data, or cloud analytics technologies. • Experience with Python for data ...

Responsibilities : • Lead the design, development, and ongoing improvement of BI and reporting ... Google Cloud Platform • Ability to work across systems and troubleshoot data integrations, APIs ...

Google Looker Developer

Hershey, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Kforce has a client that is seeking a Google Looker Developer in Hershey, PA. Summary: This role is ... Experience with other BI and data visualization tools * Experience with data governance principles ...

The ideal candidate combines deep expertise in Power BI, Excel, Python, and data engineering with a ... Google ADK Experience with: * RAG architectures * Vector databases * Prompt engineering * AI ...

Position: BI dashboards / performance reporting Evaluator Type: Contract Compensation: $80-$120 ... Highly proficient in Microsoft Office and Google Workspace , especially Slides (Google Slides ...

New

Power BI Data Analyst (PL 300) Microsoft Certified: Fabric Analytics Engineer (DP 600) Google Professional Data Engineer Certified ScrumMaster (CSM) or PMI ACP • Required Software and Tools:

Power BI. Microsoft Fabric. Google BigQuery. Microsoft Copilot. Keeper Security. Virtual Machine environment when applicable Technical Requirements: Advanced Power BI skills including DAX, Power ...

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How much do google bi jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for google bi in the United States is $50.86, according to ZipRecruiter salary data. Most workers in this role earn between $38.94 and $58.65 per hour, depending on experience, location, and employer.

What is a Google BI?

A Google BI (Business Intelligence) job typically involves analyzing large datasets, creating dashboards, and generating insights to support data-driven decision-making. BI professionals at Google work with SQL, data visualization tools, and cloud technologies to transform raw data into actionable insights. They collaborate with cross-functional teams to enhance business operations, optimize performance, and support strategic initiatives. Strong analytical skills, problem-solving abilities, and experience with data modeling are essential for this role.

What are the typical day-to-day responsibilities of a Google BI professional?

As a Google BI professional, your daily tasks will often include extracting, transforming, and analyzing large datasets to identify trends and support business decision-making. You'll develop dashboards and reports using tools like Looker or Google Data Studio, collaborate with various teams to understand their data needs, and translate business requirements into analytical solutions. You may also troubleshoot data inconsistencies and work with engineering teams to improve data reliability. This dynamic environment encourages ongoing learning and provides exposure to cutting-edge analytics projects across multiple business domains.

What are the key skills and qualifications needed to thrive in the Google BI position, and why are they important?

To thrive as a Google Business Intelligence (BI) professional, you generally need strong analytical skills, proficiency in data modeling, and a solid understanding of business processes, typically supported by a degree in computer science, data analytics, or a related field. Experience with tools such as SQL, Tableau, Looker (Google Data Studio), and possibly certifications in cloud platforms like Google Cloud Platform (GCP) are highly valued. Excellent communication, problem-solving abilities, and teamwork help translate complex data into actionable insights for diverse stakeholders. These skills are crucial for driving data-informed decisions, optimizing business strategies, and effectively collaborating across departments in a fast-paced tech environment.

More about Google BI jobs

What are the most commonly searched types of Google Bi jobs?

The most popular types of Google Bi jobs are:

What states have the most Google Bi jobs?

States with the most job openings for Google Bi jobs include:

Infographic showing various Google Bi job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $105,787 per year, or $50.9 per hour.

Tableau / Power BI Developer

Futuremindz llc

Dallas, TX • On-site

Other

Posted 19 days ago


Job description

Description

We are seeking a Tableau / Power BI Developer to join our growing analytics team. This role is open to s and candidates with 2–3 years of experience. The ideal candidate will develop dashboards, reports, and visualizations to help business teams make data-driven decisions. You will work with large datasets, create interactive reports, and collaborate with stakeholders to understand reporting requirements.

This position is available across multiple locations in the USA, including New York, NY; Dallas, TX; Chicago, IL; Atlanta, GA; Charlotte, NC; Phoenix, AZ; and remote opportunities. Candidates should have knowledge of Tableau, Power BI, SQL, and data visualization concepts. Strong analytical, communication, and problem-solving skills are preferred.

Responsibilities

• Design, develop, and maintain interactive dashboards and reports using Tableau and Power BI.

• Gather business requirements and translate them into effective data visualization solutions.

• Connect, transform, and model data from multiple sources including SQL databases, cloud platforms, and Excel files.

• Develop and optimize calculated fields, measures, KPIs, and data models.

• Ensure data accuracy, consistency, and integrity across reporting solutions.

• Collaborate with business users to understand reporting needs and provide analytical insights.

• Perform report testing, validation, and troubleshooting to ensure high-quality deliverables.

• Monitor dashboard performance and implement improvements for scalability and efficiency.

• Create documentation for dashboards, data models, and reporting processes.

• Provide technical support and maintenance for existing BI solutions.

• Participate in data governance, reporting standards, and best practices initiatives.

Experiences

• Bachelor''s degree in Computer Science, Information Technology, Data Science, Statistics, or a related field.

• Academic projects or internship experience involving Tableau, Power BI, SQL, or data analytics preferred.

• Understanding of data visualization concepts and reporting best practices.

2–3 Years Experience

• 2–3 years of experience developing dashboards and reports using Tableau and/or Power BI.

• Experience working with SQL databases and data warehousing concepts.

• Strong understanding of data modeling, ETL processes, and business intelligence methodologies.

• Experience integrating data from multiple enterprise systems.

Required Skills

• Tableau Desktop and Tableau Server/Tableau Cloud.

• Power BI Desktop, Power BI Service, and Power Query.

• DAX (Data Analysis Expressions).

• SQL (Queries, Joins, Stored Procedures, Views).

• Data Modeling and Data Visualization Best Practices.

• Microsoft Excel and Data Analysis.

• Strong analytical and problem-solving skills.

• Excellent communication and stakeholder management abilities.

• Ability to work independently and manage multiple priorities.

Preferred Skills

• Experience with Snowflake, Azure, AWS, or Google Cloud Platform.

• Knowledge of Python or R for data analysis.

• Familiarity with ETL tools such as Alteryx, Informatica, Talend, or SSIS.

• Experience with Tableau Prep.

• Understanding of Agile/Scrum methodologies.

• Data warehousing and dimensional modeling experience.

• Exposure to AI-powered analytics and predictive reporting solutions.

Nice to Have

• Tableau Certified Data Analyst or Tableau Desktop Specialist Certification.

• Microsoft Power BI Data Analyst Associate (PL-300).

• Experience working in Finance, Healthcare, Retail, Manufacturing, or HR Analytics domains.

• Knowledge of KPI frameworks and executive reporting dashboards.