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Freelance Google Data Analyst Jobs in Raleigh, NC

... Google Drive, or other cloud-based collaboration/document management systems; Experience in ... RESPONSIBILITIES 1. Utilizes database knowledge, programming skills, and data manipulation/query ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ...

Support users of UDAs data and analytical products by creating high quality user-friendly documentation, developing instructions or training materials (through the use of tools such as Google ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ...

Experience with Google Analytics, Google Tag Manager, and Google Data Studio a plus * Able to communicate with clients and manage their workloads to meet shifting deadlines and budgets * Interested ...

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Freelance Google Data Analyst information

See Raleigh, NC salary details

$12

$32

$60

How much do freelance google data analyst jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for freelance google data analyst in Raleigh, NC is $32.01, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $35.77 per hour, depending on experience, location, and employer.

What is the difference between Freelance Google Data Analyst vs Freelance Data Scientist?

AspectFreelance Google Data AnalystFreelance Data Scientist
Required CredentialsProficiency in Google tools, data analysis, basic statisticsAdvanced statistics, programming skills (Python, R), machine learning
Work EnvironmentRemote, client-based projects, often marketing or business-focusedRemote or on-site, research-driven, complex data modeling
Employer & Industry UsageBusinesses using Google platforms, marketing agenciesTech companies, research firms, large enterprises
Search & Comparison IntentUnderstanding freelance roles involving Google data toolsComparing freelance data analysis with more advanced data science roles

Freelance Google Data Analysts focus on interpreting data using Google tools for business insights, while freelance Data Scientists handle complex modeling and machine learning. Both roles require analytical skills, but Data Scientists typically have more advanced technical expertise and work on more complex projects.

Can I do freelancing as a Google data analyst?

Yes, a Google data analyst can work as a freelancer by offering data analysis, reporting, and visualization services to clients. Freelancers typically need strong skills in tools like Google Data Studio, SQL, and Excel, along with a portfolio to demonstrate their expertise. Freelance data analysts often find work through online platforms and set their own schedules and rates.

What are the most commonly searched types of Google Data Analyst jobs in Raleigh, NC?

The most popular types of Google Data Analyst jobs in Raleigh, NC are:

Revenue Operations Analyst II

Lucid Software

Raleigh, NC • On-site, Remote

Full-time

Posted 10 days ago


Job description

Lucid Software is the leader in visual collaboration and work acceleration, helping teams see and build the future by turning ideas into reality. Our products include the Visual Collaboration Suite (Lucidchart and Lucidspark) and airfocus. We hold true to our core values: innovation in everything we do, passion & excellence in every area, individual empowerment, initiative and ownership, and teamwork over ego. At Lucid, we value diverse perspectives and are dedicated to creating an environment and culture that is respectful and inclusive for everyone. Lucid is a hybrid workplace. We promote a healthy work-life balance by allowing employees to work remotely, from one of our offices, or a combination of the two depending on the needs of the role and team.

Since the company's founding, Lucid Software has received numerous global and regional recognitions for its products, business, and workplace culture. These include being listed to the Forbes Cloud 100, Fast Company Most Innovative Companies, Fortune Best Workplaces in Technology, and PEOPLE's Companies that Care. Lucid's solutions are used by more than 100 million users across the globe, making Lucid the most used visual collaboration platform by the Fortune 500. Our customers include Google, GE, and NBC Universal, and we partner with leaders such as Google, Atlassian, and Microsoft. 

We are looking for a proactive and eager analyst to help scale our Go-To-Market Operations and Strategy team through our company's growth. As a Revenue Operations Analyst, you will partner with our Go-To-Market (GTM) Operations team and Sales Leadership, to support business operating rhythms, strategic decision-making and planning, process improvement, and performance management reporting. You will play a pivotal role in translating data in actionable insights, helping our sales teams run efficiently and effectively across international markets.

Responsibilities:

  • Support and facilitate the weekly, monthly, and quarterly business operating rhythms for our Sales leadership, including preparing data readouts and assisting in assembling materials for business reviews and forecasting.
  • Partner with regional Sales leadership, leveraging data and analyses to land business insights, develop GTM strategies, and scale the business.
  • Drive strategic decision-making and planning in partnership with sales leadership: Produce analysis and recommendations that provide insight to sales leadership on key decisions impacting our business; work closely with Analytics, Finance, Customer Operations, and other cross-functional teams on annual planning.
  • Work cross-functionally with finance, marketing, business development, account teams, and demand generation teams to create a holistic view of the business for our business leaders.
  • Partner with the scaled account management team to deploy automated outreach workflows, driving significant operational efficiency and expanding account touchpoints at scale.
  • Manage the administration and execution of the sales organization's targets, including segmentation of business goals, measurement of goal attainment, evolving and driving various demand generation campaigns and proposing improvements to the business to increase its effectiveness in driving desired results.

Requirements:

  • BA/BS degree, ideally in a quantitative field such as Finance, Business, Economics, or Strategy, with an impressive track record of success.
  • 3+ years of professional experience, with ideally 1+ years in a SaaS or recurring revenue business; Revenue Operations, Business Operations, Finance, Analytics, FP&A, or other operational or quantitative role preferred.
  • Outstanding project management skills across a varied set of responsibilities in a fast-paced, high-volume environment. Self-starter and quick learner who can work independently, collaboratively, and on multiple initiatives simultaneously with a demonstrated record of driving results.
  • Detail-oriented and organized with experience in managing project plans, meeting deadlines, and proactively raising blockers or risks.
  • Customer-facing communication experience preferred.
  • Experience with process optimization and operational efficiency, and an interest in leveraging AI and automation tools to streamline workflows and build scalable solutions.
  • Natural problem solver and bias towards finding solutions vs. shutting down ideas.
  • Resourceful, innovative, and always looking for ways to drive process improvement and act as an agent for change.
  • Strong verbal and written communicator with excellent interpersonal skills to build and maintain relationships with key stakeholders.
  • Advanced proficiency in Microsoft Excel/ Google Sheets (e.g. lookups, pivot tables, complex formulas) required; experience with data analysis tools in Tableau and SQL as well as CRM tools such as Salesforce and Gong preferred.
  • Clear and concise written and verbal communication skills in English.

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