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Internship Looker Jobs (NOW HIRING)

Reporting - Familiar with modern business intelligence tools like Power BI, Tableau, Looker. Use ... the internship/student worker assignment. | RequiredMust meet PSECU's minimum employment ...

Reporting - Familiar with modern business intelligence tools like Power BI, Tableau, Looker. Use ... the internship/student worker assignment.| Required Must meet PSECU's minimum employment ...

Senior Data Scientist

New York, NY · On-site +1

$126K - $199K/yr

Develop data visualization that illustrates complex platform phenomena using tools such as Looker ... Must have prior experience, internship, project background, or advance level coursework in each of ...

... Looker Studio. Translate complex data into clear, actionable insights and articulate findings ... Recent graduates with strong, relevant internships in paid media are highly encouraged to apply.

... Looker Studio),Google Business Profile,Ahrefs, SEMrush, or similar platforms. * Help produce ... Recent graduates are encouraged to apply. * 0-1yearsof professional experience,Internships ...

... Looker Studio. Translate complex data into clear, actionable insights and articulate findings ... Recent graduates with strong, relevant internships in paid media are highly encouraged to apply.

Senior Service Analyst

San Francisco, CA

$103K - $137K/yr

Build and maintain dedicated dashboards and tooling (Looker, BigQuery, etc.) to monitor service ... internships, research assistantships, and time enrolled in a degree program do not count toward ...

Senior Service Analyst

San Francisco, CA · On-site

$103K - $137K/yr

Build and maintain dedicated dashboards and tooling (Looker, BigQuery, etc.) to monitor service ... internships, research assistantships, and time enrolled in a degree program do not count toward ...

... Looker Studio),Google Business Profile,Ahrefs, SEMrush, or similar platforms. * Help produce ... Recent graduates are encouraged to apply. * 0-1yearsof professional experience,Internships ...

... Looker Studio. Translate complex data into clear, actionable insights and articulate findings ... Recent graduates with strong, relevant internships in paid media are highly encouraged to apply.

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Internship Looker information

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How much do internship looker jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for internship looker in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an internship looker?

An Internship Looker is typically a student or recent graduate who is actively searching for internship opportunities to gain practical experience in their field of interest. This role involves researching companies, applying for positions, preparing application materials, and networking with professionals to find suitable internships. The goal is to develop relevant skills, build a professional network, and enhance their resume for future job prospects. Being an internship looker often requires persistence, organization, and proactive communication.

What types of projects and responsibilities can I expect during an internship focused on Looker analytics?

As an intern working with Looker, you will typically assist in building and maintaining data models, creating dashboards, and supporting the analytics needs of various business teams. You may also be involved in data cleansing, writing LookML code, and collaborating with data analysts and engineers to ensure accurate and actionable reporting. This hands-on experience helps interns gain valuable exposure to business intelligence tools and real-world data challenges while contributing meaningfully to ongoing projects.

What are the key skills and qualifications needed to thrive as a Data Analyst intern (Looker), and why are they important?

To thrive as a Data Analyst Intern specializing in Looker, you need a solid grounding in data analysis, statistics, and proficiency with SQL, often supported by coursework or a degree in a related field. Familiarity with Looker BI, data visualization tools, and spreadsheet software is typically required, and completion of Google Looker certifications can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help interns interpret data and share insights clearly with stakeholders. These skills and tools are essential for transforming complex data into actionable business intelligence, which supports informed decision-making.

What is the difference between Internship Looker vs Data Analyst Intern?

AspectInternship LookerData Analyst Intern
Required SkillsBasic knowledge of Looker, SQL, data visualizationExcel, SQL, data analysis fundamentals
Work EnvironmentData teams, business intelligence projectsData departments, reporting tasks
Industry UsageBusiness intelligence, analytics firmsVarious industries, analytics departments

Internship Looker and Data Analyst Intern roles both involve working with data, but Internship Looker focuses specifically on using Looker for data visualization and BI tools, while Data Analyst Interns may work with broader data analysis tools and techniques. Both roles provide valuable entry-level experience in data-driven environments.

More about Internship Looker jobs

What cities are hiring for Internship Looker jobs?

Cities with the most Internship Looker job openings:

What are the most commonly searched types of Looker jobs?

The most popular types of Looker jobs are:

What states have the most Internship Looker jobs?

States with the most job openings for Internship Looker jobs include:

Infographic showing various Internship Looker job openings in the United States as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Data Engineer 2 - TS required - Washington DC area

Bow Wave LLC

Arlington, VA • On-site

$80K - $85K/yr

Full-time

Posted 14 days ago


Job description

Education Requirement: Bachelor's Degree
Key Responsibilities:
• Assist in designing, developing, and maintaining basic ETL pipelines for ingesting, transforming, and loading datasets under the guidance of more experienced engineers.
• Support analysis of data structures, mappings, and data quality checks to identify issues or gaps.
• Help ensure data accuracy, consistency, and integrity by running validation queries, profiling datasets, and supporting data cleanup efforts.
• Contribute to data migration tasks, such as mapping source data to target systems and running migration scripts.
• Collaborate with analysts, data scientists, and business stakeholders to translate requirements into simple data transformations or pipeline updates.
• Monitor pipeline performance and assist in troubleshooting operational issues, escalating complex problems as needed.
• Help document data flows, transformation logic, and operational processes to support maintainability and knowledge sharing.
Required Skills & Experience
• 0-1 Years of Professional Experience
• Foundational exposure to data analysis, ETL concepts, or data migration activities-via coursework, internships, personal projects, or early professional experience.
• Working knowledge of SQL, including writing basic queries, joins, and aggregations.
• Familiarity with Python for data manipulation or automation tasks (introductory level acceptable).
• Introductory experience with ETL or workflow tools such as Apache Airflow, Talend, or similar platforms.
• Understanding of basic data warehousing concepts, such as staging, fact/dimension models, or schema structure.
• Exposure to cloud-based data storage or compute platforms (e.g., AWS S3/Redshift, Google BigQuery, Azure Storage).
Bonus / Preferred Qualifications
• Hands on or coursework experience with cloud ecosystems such as AWS, Azure, or Google Cloud Platform.
• Exposure to big data technologies (Hadoop, Spark, or distributed processing frameworks).
• Familiarity with data visualization tools (Power BI, Tableau, Looker) and version control systems such as Git.
• Experience building or supporting automated data workflows using orchestration tools or scheduled scripting.
Core Skills & Competencies
• Foundational ETL development and data pipeline understanding
• Data profiling and validation
• SQL and Python basics
• Understanding of data warehousing fundamentals
• Collaboration with analysts, engineers, and business stakeholders
• Problem solving mindset and willingness to learn
• Clear communication and strong documentation skills
• Adaptability in fast paced, evolving environments