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Google Data Studio Jobs (NOW HIRING)

twentysix

Reporting Solutions Engineer

El Segundo, CA · On-site

$122K - $146K/yr

... in Google Data Studio and Google Looker, using best practices for visualizations and user experience, to communicate a compelling business story Gathering feedback on the dashboard to better ...

Operation IT

WEB ANALYTICS SPECIALIST

Philadelphia, PA · On-site

Knowledge of R (programming language) for customized analysis and reporting as well as extensive experience with at least one standard visualization package, e.g., Google Data Studio, Tableau, Qlik ...

Scalian

Project Manager Officer

Mobile, AL

$97K - $115K/yr

Track and report program KPIs, maintain the program scorecard, and ensure data accuracy using Google Sheets, Google Data Studio, or similar tools * Monitor program status, budgeting, and performance ...

Xopero Software

NY · On-site

Tworzeniem dashboardów i raportów w Google Data Studio, analizą wyników kampanii oraz przygotowywaniem rekomendacji opartych na danych. * Ścisłą współpracą z zespołem kreatywnym ...

Tiffany & Co

$122K - $150K/yr

Proficiency in marketing analytics platforms (e.g., Google Analytics), data visualization tools (e.g., Power BI, Google Data Studio), and familiarity with ad platform analytics (e.g., Google Ads ...

TransUnion

Advisors, Consulting Services

$108K/yr

R, Python, SQL, R Studio, MS Excel, Google Cloud Platform, Power BI, Tableau, Looker/Google Data Studio, JMP, Qualtrics, Canva, Data Cleaning, Data Visualization, Data Analysis, Forecasting ...

Frankel

Digital Marketing Manager

Gainesville, FL · Remote

Establish and maintain performance dashboards using Google Data Studio (Looker Studio) * Translate campaign data into clear, actionable insights for clients and internal teams SEO/GEO * Apply a ...

Frankel

Digital Marketing Manager

Gainesville, FL · On-site

Establish and maintain performance dashboards using Google Data Studio (Looker Studio) * Translate campaign data into clear, actionable insights for clients and internal teams SEO/GEO * Apply a ...

The Rockridge Group

Data Engineer

Emeryville, CA · Remote

$132K - $159K/yr

Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag Manager, merchant account or data studio experience preferred

Enfint

NY · On-site

$113K - $115K/yr

... BI, Google Data Studio или аналогичными инструментами * Будет плюсом опыт работы с CRM- и retention-механиками, опыт ...

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How much do google data studio jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for google data studio in the United States is $56.81, according to ZipRecruiter salary data. Most workers in this role earn between $46.63 and $67.31 per hour, depending on experience, location, and employer.

What is a Google Data Studio?

A Google Data Studio job typically involves using Google Data Studio (now Looker Studio) to create interactive reports and dashboards by visualizing data from various sources. Professionals in this role work with business intelligence, data analysis, and reporting to help organizations track key metrics and make data-driven decisions. Responsibilities may include connecting data sources, designing dashboards, and optimizing reports for clarity and usability. This role is often found in marketing, finance, or analytics teams where data visualization is crucial.

What are the typical responsibilities and challenges faced by professionals working with Google Data Studio?

Professionals working with Google Data Studio are often responsible for developing and maintaining interactive dashboards, integrating data from various sources, and ensuring data accuracy and clarity for stakeholders. One of the main challenges is translating complex, raw data into visually compelling and easy-to-understand reports that meet the needs of different departments or clients. These roles frequently involve collaborating with marketing, sales, or IT teams to align data reporting with organizational goals. Mastery of Google Data Studio tools and a keen attention to business requirements help ensure your analyses drive impactful decisions and provide ongoing value to your team.

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

To excel in a Google Data Studio role, you need strong analytical skills, data visualization expertise, and proficiency in manipulating datasets, often supported by a background in business intelligence, analytics, or a related field. Familiarity with Google Data Studio, Google Analytics, SQL, and data connectors, as well as certifications in data analytics or related platforms, is valuable. Excellent communication, problem-solving, and stakeholder management abilities set top candidates apart. These skills are vital for translating complex data into actionable insights, driving informed business decisions, and effectively collaborating across teams.

What does Google Data Studio do?

Google Data Studio is a data visualization tool used by data analysts and reporting specialists to create interactive dashboards and reports. It connects to various data sources, such as Google Sheets and BigQuery, enabling users to analyze and share insights visually. Proficiency in data analysis and familiarity with data connectors are helpful for this role.
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Google Data Studio jobs near you
Infographic showing various Google Data Studio job openings in the United States as of September 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $118,171 per year, or $56.8 per hour.

Reporting Solutions Engineer

El Segundo, CA • On-site

twentysix
See more jobs at twentysixexternal

$122K - $146K/yr

Other

Posted 9 days ago

Job description

You Will Be

Gathering data source, data joining, data model, and data transformation requirements from stakeholders (clients and internal teams)

Gathering and evaluating data visualization requirements in order to develop unique reporting and insights solutions/tools for cross-channel media measurement

Managing and monitoring multiple data pipelines and ETL tasks related to multiple client data streams

Assisting in the creation of a reliable and scalable infrastructure for data model builds, data set QA, and data set outputs

Working with internal stakeholders to understand and then execute against data transformation, data model, and inbound/outbound data pipeline requirements

Assisting with the design of client data pipelines to flexibly and efficiently deploy data for new dashboards and apps within Polaris, our proprietary tech platform

Working with data engineers to validate data from multiple sources to provide an integrated, comprehensive overview of our digital marketing efforts

Creating reporting dashboards in Google Data Studio and Google Looker, using best practices for visualizations and user experience, to communicate a compelling business story

Gathering feedback on the dashboard to better understand its functionality and user experience, and documenting for product improvements

Assisting the engineering team in creating data requirements for future platform enhancements

Identifying areas for improvement and propose potential solutions, building process documentation to assist in the scaling of all reporting efforts

You Must Have

5+ years of experience in reporting, BI, or analytics engineering

Experience with SQL, database design, and data manipulation methodologies

Experience gathering requirements and delivering data visualizations in Looker (preferred) or Data Studio within an Advertising Agency or similar client environment

Familiarity with Data Build Tools (dbt)

Strong Google/Excel Sheets skills, preferably with appscripts experience

Experience working with API calls for the purposes of gathering and storing large datasets (batch or streaming)

Experience with at least one cloud platform (BigQuery, Snowflake, Redshift, etc.)

Experience with at least one programming language (Python, R, AppScript, JavaScript, etc.), preferably JavaScript or Python

Knowledge of database and data warehousing design and management

Understanding of ETL process and data modeling experience using SQL

Attention to detail with the ability to debug and troubleshoot code/queries

A collaborative mentality with the ability to work independently

General business and marketing data acumen including an understanding of common marketing goals, KPIs, and tactics

Experience integrating and automating pipelines from multiple data sources

Strong organizational skills with superior attention to detail with the ability to handle the balancing of multiple tasks and projects

The desire to learn new tools, skills, and strategies and the initiative to take on new tasks

Both an analytical and design mindset

Strong written and verbal communication skills

Nice to Have

Experience with digital analytics tools (Google Analytics, Adobe Analytics)

Experience with Project Management Platforms (JIRA, Asana)

Knowledge/experience in the digital marketing industry

Curiosity to continuously learn more about digital marketing and marketing technology

Experience in working with data from different ad platforms (Google, Facebook, Microsoft) and digital analytics tools (Google Analytics, Adobe Analytics)

Data Integration Platforms: Funnel, Domo

Data Visualization Platforms: Tableau, PowerBI

Data Warehouses: BigQuery

Project Management Platforms: Asana or similar experience

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