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Data Analytics Google Jobs (NOW HIRING)

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

  • PTO

Strong working knowledge of web analytics and ad serving tools (Google Analytics 4, Adobe Analytics, Google Campaign Manager 360). * Strong working knowledge of SQL and cloud data warehouse ...

Data Analytics Instructor

Austin, TX · On-site +1

$4.0K/wk

... Google, and Airbnb. Our flagship program is the Global Career Accelerator (here's an example: which ... Bring Data Analytics to life by incorporating real-world examples into our existing curriculum.

... Google, and Airbnb. Our flagship program is the Global Career Accelerator (here's an example: which ... Bring Data Analytics to life by incorporating real-world examples into our existing curriculum.

Work under the direction of the Manager of Data Analytics to assure corporate architecture ... Google Cloud Platform and AWS. Demonstrable technical competency on technical solutions that ...

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Data Analytics Google information

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How much do data analytics google jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data analytics google in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

What are data analytics roles at Google?

Data Analytics roles at Google involve collecting, processing, and interpreting large sets of data to help inform business decisions, improve products, and solve complex problems. These professionals use statistical tools, programming languages like SQL and Python, and data visualization techniques to analyze information from various sources. They work closely with teams across the company to generate insights, create reports, and support strategic planning. Their work is crucial for driving innovation and maintaining Google's competitive edge.

What are the key skills and qualifications needed to thrive as a data analytics professional using Google tools?

To thrive as a Data Analytics professional, you need a solid background in statistics, data interpretation, and analytical problem-solving, often supported by a degree in a quantitative field. Familiarity with Google Analytics, Google Data Studio, BigQuery, and relevant certifications like the Google Data Analytics Certificate is highly valued. Strong communication, critical thinking, and the ability to translate data insights into actionable recommendations are standout soft skills. These competencies are crucial for transforming complex data into strategic business decisions and driving measurable impact.

How does a data analytics professional at Google typically collaborate with cross-functional teams?

At Google, Data Analytics professionals often work closely with product managers, engineers, UX designers, and business stakeholders to translate data findings into actionable strategies. They participate in regular meetings to align on project goals, share analytical insights, and recommend data-driven solutions. Collaboration tools and clear communication are essential, as analytics experts must present complex data in an understandable way to support decision-making across departments.

What is the difference between Data Analytics Google vs Data Analyst?

AspectData Analytics GoogleData Analyst
Required CredentialsBachelor's in related field, Google certificationsBachelor's in related field, certifications vary
Work EnvironmentTech companies, corporate settings, remote optionsVarious industries, corporate and consulting firms
Employer & Industry UsagePrimarily in tech and digital marketing sectorsBroadly across finance, healthcare, retail, and more
Common Search & ComparisonYesYes

Data Analytics Google typically refers to roles involving data analysis within Google or using Google tools, often requiring specific certifications and working in tech environments. Data Analyst is a broader role across multiple industries, with varied employers and credentials. While both focus on analyzing data to inform decisions, Data Analytics Google is more specialized within the Google ecosystem, whereas Data Analyst roles are more diverse in scope and industry.

More about Data Analytics Google jobs

What cities are hiring for Data Analytics Google jobs?

Cities with the most Data Analytics Google job openings:

What states have the most Data Analytics Google jobs?

States with the most job openings for Data Analytics Google jobs include:

Infographic showing various Data Analytics Google job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Senior Data Analyst

MMGY Global

Overland Park, KS

$85K - $107K/yr

Full-time

PTO

Re-posted 10 days ago


Job description

At MMGY Global, we believe nothing shapes your view of the world like travel. So every day, we share our clients' stories from a perspective that inspires people to see the world differently. Our personalized service and strategy connect media, consumers and influencers across the globe, taking people to new places and changing their views for the better. At MMGY, we inspire people to go places.

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office.

As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience to serve as a senior individual contributor on MMGY's Data Strategy team, reporting to the SVP of Data. This role is responsible for translating available data resources into actionable insights and strategic recommendations for internal teams and external clients, and for supporting MMGY Media via performance analytics for select clients. The ideal candidate operates with the autonomy, client presence, and strategic judgment - owning workstreams end to end and representing Data Strategy in client-facing setting.

Duties & Responsibilities

Data Strategy & Audience Intelligence

  • Collaborate with MMGY Account, Media, Social, Paid Search, Creative, and MarTech teams to understand available client data sources, tools, and partnerships with the goal of translating data into value for the MMGY media client base.
  • Support and independently execute audience segmentation and modeling projects in partnership with Account Management and Integrated Planning leaders, including data analysis, insights creation, and client presentations.
  • Execute strategies related to MMGY audience products, including TRiPs and Terminal (MMGY's audience modeling and persona creation process) audiences, from analysis through activation.
  • Conduct Share of Wallet competitive analysis for MMGY media and data strategy clients, capturing client organizational goals, securing data to conduct analysis, and communicating results with go-forward strategy recommendations.
  • Conduct seasonal market and audience analysis and deliver recommendations to the MMGY Media team in line with seasonal planning efforts.
  • Support offline performance matchback reporting in partnership with consumer database providers.
  • Partner with MMGY Travel Intelligence to refine Terminal, TRiPs, and other data strategy products, and research the latest technology and travel insight trends to maintain their USP and relevance.
  • Be proactive in discovering new ways to highlight the value and communicate the specifics of MMGY Data Strategy products.
  • Collaborate with MMGY's audience activation partners and sellers, driving revenue through MMGY audience usage within and outside the walls of MMGY media activation; track and report audience sale revenue in partnership with MMGY Finance team

Database Management and Data Collection

  • Analyze results, visualize performance, and identify trends that provide actionable insights based on available data, connecting media delivery data to client business outcomes.
  • Operationalize existing data strategy processes via standardization and automation - building repeatable, scalable workflows (SQL, BigQuery, scripting) that reduce manual effort and improve turnaround.
  • Create well-organized, client-ready analysis presentations that lead with insight and recommendation rather than data description.
  • Leadership & Collaboration
  • Provide thought leadership in internal meetings, delivering specific, influential recommendations supported by data and analysis.
  • Serve as a primary representative for Data Strategy in meetings, both internal and with clients, including onboarding, client visits, and key reporting periods for the assigned portfolio.
  • Build relationships and trust with key client stakeholders, operating as a strategic partner rather than a report producer.
  • Provide informal training, direction, and guidance to analysts across the broader analytics organization; contribute to best-practice documentation and knowledge sharing.
  • Hold self accountable to all client and internal deadlines, proactively flagging risks and managing expectations with minimal oversight.

Required Skills and Experience

  • Bachelor's degree in marketing, business, or related technical field is required.
  • 5+ years of relevant professional experience in data analytics, audience modeling. performance tracking and analysis, and cross-channel program measurement, ideally within a media or marketing agency environment.
  • Strong working knowledge of web analytics and ad serving tools (Google Analytics 4, Adobe Analytics, Google Campaign Manager 360).
  • Strong working knowledge of SQL and cloud data warehouse environments (BigQuery preferred), with the ability to independently query, join, and QA large multi-platform datasets.
  • Strong working knowledge and experience using data visualization software (Tableau, Power BI, Looker Studio) for client dashboard reporting, plus proficiency in Microsoft Excel.
  • Demonstrated ability to own projects end to end: scoping, analysis, insight development, and client presentation.
  • Attention to detail and the ability to work in a team and collaborate with and influence others, including senior internal stakeholders and clients.
  • Proactive, self-motivated, deals well with ambiguity, strong time management, and excellent written and oral communication skills, including presentation delivery to client audiences.

Preferred Skills and Experience

  • Experience with audience data, segmentation, and consumer databases (e.g., Epsilon, Experian, MRI-Simmons) and applying them to media planning and activation.
  • Experience automating reporting and data workflows using scripting (Python, Google Apps Script) or workflow tools.
  • Experience in travel, tourism, hospitality, or destination marketing, or a demonstrated interest in the category.
  • Familiarity with media mix concepts, incrementality, and matchback measurement approaches.
  • Experience mentoring or training junior analysts, even without formal management responsibility.
  • Experience with campaign and website tagging and tracking systems (Google Tag Manager, Floodlight, tag auditing and troubleshooting).

MMGY Global provides a comprehensive PTO + benefits package that includes a hybrid telework policy. Applicants for employment in the U.S. must possess work authorization, which does not require sponsorship by the employer for a visa. MMGY Global is an Equal Opportunity Employer.

Who Are We? We're a travel-obsessed collective of more than 600 people across the country and around the globe. And when we say we inspire people to go places, we mean ALL people. That's why we're focused on nurturing a workforce that is representative of the places we visit.

Employment Type: Full-Time