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Entry Level Google Data Analyst Jobs in Cumming, GA

Data Analyst| Remote Optomi, in partnership with a global leader in the retail industry, is seeking ... Familiarity with Google BigQuery. * Understanding of sales organizations or account management ...

The Data Analyst helps support all aspects of analytic initiatives from conception to completion ... Experience with digital marketing analytics tools such as Google Analytics, Adobe Analytics, and ...

Hands-on experience with data analytics tools and software, such as SQL, Python, R, Tableau, Adobe Analytics, Adobe Customer Journey Analytics, or Google Analytics. Strong understanding of data ...

Ability to interpret and analyze data in Google Analytics 4 * Have an aptitude for data analysis and problem solving * Looker (formerly Google Data Studio) Reporting experience is a plus * Ability to ...

Project scope, timeline and resource management; and Analytics or data analysis. About the job The ... Position reports to the Google Atlanta, GA office & may allow for a hybrid schedule as per Google ...

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How much do entry level google data analyst jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for entry level google data analyst in Cumming, GA is $29.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $32.79 per hour, depending on experience, location, and employer.

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.

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.

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.

How do I get into an entry level Google data analyst role?

To enter an entry-level Google data analyst role, candidates typically need a bachelor's degree in a related field such as statistics, computer science, or business, along with skills in data analysis tools like SQL, Excel, and data visualization software. Gaining experience through internships, certifications like Google Data Analytics Professional Certificate, and developing strong analytical and problem-solving skills can improve chances of securing the position.

What are the most commonly searched types of Google Data Analyst jobs in Cumming, GA?

The most popular types of Google Data Analyst jobs in Cumming, GA are:

What job categories do people searching Entry Level Google Data Analyst jobs in Cumming, GA look for?

The top searched job categories for Entry Level Google Data Analyst jobs in Cumming, GA are:

What cities near Cumming, GA are hiring for Entry Level Google Data Analyst jobs?

Cities near Cumming, GA with the most Entry Level Google Data Analyst job openings:

Data Analyst

Optomi

Atlanta, GA • On-site

Other

Posted 5 days ago


Job description

Data Analyst| Remote

Optomi, in partnership with a global leader in the retail industry, is seeking a Data Analyst to join their team! This role supports a growing program that manages over $93 million in sales!


What the right candidate will have:

  • 1–3 years of experience in a data analyst or similar role.
  • Proficiency in Tableau, Excel (basic knowledge), and SQL (basic knowledge).
  • Strong communication skills and a sales-focused mindset.
  • Demonstrated ability to work cross-functionally and directly with customers.
  • Detail-oriented with a passion for improving customer experience and operational workflows.


Nice to haves:

  • Experience with Python or other scripting languages.
  • Exposure to AI/ML concepts or tools.
  • Familiarity with Google BigQuery.
  • Understanding of sales organizations or account management structures.


Responsibilities of the right candidate:

  • Maintain and manage Excel trackers to monitor application statuses and customer onboarding.
  • Work closely with the account team to scale new capabilities and improve in-store application experiences.
  • Partner with sales reps to identify, onboard, and support customers in accessing Trade Credit services.
  • Communicate directly with customers to resolve issues, collect feedback, and promote program participation.
  • Use Tableau, SQL, and Google BigQuery to create dashboards and generate actionable insights.
  • Help automate reporting processes and simplify data workflows for better team visibility and efficiency.
  • Collaborate with stakeholders to refine customer journey processes, including shortening the application process and supporting in-store integration.
  • Partner with internal data consultants and full-time staff to clean, analyze, and visualize data for process improvement.