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Entry Level Google Data Analyst Jobs in Washington

You will use and contribute to a modern data stack (Google Analytics 360, BigQuery, dbt, Hex, and Fivetran). You will collaborate closely with cross-functional teams including Digital, Marketing, and ...

Senior Digital Analyst

Washington, DC · On-site +1

$120K - $170K/yr

You will use and contribute to a modern data stack (Google Analytics 360, BigQuery, dbt, Hex, and Fivetran). You will collaborate closely with cross-functional teams - including Digital, Marketing ...

Senior Digital Analyst

Washington, DC · On-site

$120K - $170K/yr

You will use and contribute to a modern data stack (Google Analytics 360, BigQuery, dbt, Hex, and Fivetran). You will collaborate closely with cross-functional teams -- including Digital, Marketing ...

Senior Digital Analyst

Washington, DC · On-site

$120K - $170K/yr

You will use and contribute to a modern data stack (Google Analytics 360, BigQuery, dbt, Hex, and Fivetran). You will collaborate closely with cross-functional teams - including Digital, Marketing ...

Data Coordinator

Washington, DC · Hybrid

$55K - $60K/yr

The Data Coordinator supports the CAC analytics team by ensuring data accuracy and consistent ... Experience with data visualization tools like Google Data Studio or Tableau * Experience with ...

Data Coordinator

Washington, DC · Hybrid

$55K - $60K/yr

The Data Coordinator supports the CAC analytics team by ensuring data accuracy and consistent ... Experience with data visualization tools like Google Data Studio or Tableau * Experience with ...

Data Coordinator

Washington, DC · On-site +1

$55K - $60K/yr

The Data Coordinator supports the CAC analytics team by ensuring data accuracy and consistent ... Experience with data visualization tools like Google Data Studio or Tableau * Experience with ...

Perform explanatory data analysis, generate / test working hypotheses, prepare / analyze historical ... Google Data Engineering, Azure AI Engineering Associate, etc.) is a plus * Ability to travel as ...

Showing results 41-60

Entry Level Google Data Analyst information

What is an entry level Google data analyst?

Entry Level Google Data Analysts are professionals who collect, process, and analyze data to help organizations make informed decisions. At Google, these analysts typically work with large datasets using tools like SQL, spreadsheets, and data visualization platforms. Their responsibilities may include data cleaning, trend analysis, and generating reports to support various business functions. Entry level roles are designed for those new to the field, providing opportunities to learn and grow within the company.

Can I be an entry level Google data analyst with no experience?

Entry level Google data analyst roles typically require some foundational skills in data analysis, such as proficiency in Excel, SQL, or data visualization tools. While prior experience is often preferred, candidates with relevant certifications, coursework, or strong analytical aptitude can qualify for entry-level positions without extensive experience.

What skills and qualifications are needed to thrive as an entry level Google data analyst?

To thrive as an Entry Level Google Data Analyst, you need a solid understanding of data analysis, statistics, and basic programming, often supported by a degree in a quantitative field or completion of a data analytics certification such as the Google Data Analytics Professional Certificate. Familiarity with tools like SQL, spreadsheets (Google Sheets, Excel), data visualization platforms (Tableau, Google Data Studio), and Google Analytics is essential. Strong attention to detail, problem-solving skills, and effective communication help analysts translate data insights into actionable recommendations for diverse stakeholders. These skills ensure accurate analysis, clear reporting, and informed decision-making within data-driven organizations.

Does Google hire entry level data analysts?

Google does hire entry-level data analysts, often for roles that require basic skills in data analysis, SQL, and Excel. These positions may require a bachelor's degree and some familiarity with data tools, making them accessible to recent graduates or those new to the field.

What are common challenges faced by entry level Google data analysts, and how can they overcome them?

Entry-level Google Data Analysts often face challenges such as learning how to navigate large datasets, working with unfamiliar data tools, and translating complex data findings into actionable business insights. To overcome these, it's helpful to proactively seek feedback from more experienced team members, make use of available training resources, and participate in team meetings to better understand project goals. Collaborating closely with other analysts and stakeholders can also help build confidence and improve communication skills.
What are the most commonly searched types of Google Data Analyst jobs in Washington? The most popular types of Google Data Analyst jobs in Washington are:
What are popular job titles related to Entry Level Google Data Analyst jobs in Washington? For Entry Level Google Data Analyst jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Entry Level Google Data Analyst jobs? Cities in Washington with the most Entry Level Google Data Analyst job openings:
Infographic showing various Entry Level Google Data Analyst job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Digital Analyst

Tuckernuck

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 days ago


Job description

Salary:

Position Overview

Tuckernucks business and team members thrive on data. As a Senior Digital Analyst / Analytics Architect, you will influence key strategic decisions within a high-volume, high-growth business. This hybrid role involves both analytics architecture and digital analysis: not only will you implement new measurement tooling, but you will also employ the data you collect in actionable analyses. You will use and contribute to a modern data stack (Google Analytics 360, BigQuery, dbt, Hex, and Fivetran).

You will collaborate closely with cross-functional teams including Digital, Marketing, and Merchandising driving the strategies behind our customer experiences, marketing, and content. Ultimately, you will help us to maximize the value of our 2 billion rows of data (and counting), converting raw information into knowledge that helps to fuel our next phase of growth. This position will report to Paul Koch, Head of Data. This position can be based in our Washington, DC Headquarters office or remote.


Core Responsibilities

  • Conduct rigorous, accurate analyses of our digital data, primarily using SQL and Python.
  • Communicate your findings and recommendations clearly, both in writing and orally.
  • Collaborate with stakeholders to identify high-value projects and propose effective approaches.
  • Produce dashboards and data tooling using Hex.
  • Provide peer review of analysis deliverables.
  • Educate other teams about our data through hands-on teaching and strong documentation.
  • Audit and improve the accuracy of our analytics instrumentation.
  • Implement new digital data collection using Google Tag Manager and collaborating with our measurement partners.
  • Ensure data collection respects customers consent signals and complies with regional data-protection regulations.


Minimum Qualifications

  • You have worked in a data-centric role for at least 3 years.
  • You fluently write SQL and proficiently write Python.
  • You deeply understand Google Analytics and have used BigQuery to analyze GA data.
  • You have worked extensively with Google Tag Manager.
  • You understand foundations of digital measurement, such as browsers developer tools, the DOM, CSS selectors, and JavaScript.


Knowledge/Skills/Abilities

  • Cite examples of how your past analyses have influenced stakeholders behavior and quantitatively impacted your organization.
  • Care not only about properly analyzing data, but also effectively presenting and visualizing your findings.
  • Work proactively and independently, proposing projects rather than waiting for stakeholders to request them.
  • Know when to work with ambiguity and when to push for clarity.
  • Maintain a strong opinions, loosely held mindset: you have ideas for the business but adjust your position as you discover new information.
  • Stay plugged into the data and analytics community, eager to learn about new tools and practices and introduce them in your work.
  • Value curiosity, teamwork, input from others, and a focus on outcomes.


Preferred Skills

  • Used dbt and Git. (If not, we will teach you!)
  • Implemented server-side tracking.
  • Worked with digital advertising platforms (e.g., Google Ads and Meta).
  • Worked in a retail business, especially direct-to-consumer.
  • Designed, implemented, and interpreted experiments (e.g., via split-testing tools).


Compensation

Compensation for the role will be determined based on the candidate's qualifications, skills, and experience. The estimated annual compensation for this role is $120,000-$170,000; classified as full-time exempt and not eligible for overtime. At Tuckernuck, we care about our team and offer benefits that support your health, growth, and work-life balance. This includes medical, dental, and vision coverage, a 401(k) with a company match, generous paid time off and holiday, paid new parent leave, day care coverage, a generous employee discount, and other great perks.


Core Values

The successful candidate will also demonstrate the following core values that inspire the Tuckernuck team to make a difference.

  • Teamwork Makes the Dream Work
  • Find the Fun
  • Stay Authentic
  • Respect
  • Entrepreneurial Spirit
  • Start Strong & Finish Strong
  • Have Courage

Tuckernuck is an equal opportunity employer and makes employment decisions on the basis of merit. Tuckernuck policy prohibits unlawful discrimination based on race, color, religious creed, sex, gender identity, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member), sexual orientation, pregnancy, or any other consideration made unlawful by federal, state, or local laws. It also prohibits discrimination based on a perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics. All such discrimination is unlawful.