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Entry Level Google Data Analyst Jobs in Brooklyn, NY

Data Analyst We are seeking a senior level Data Analyst to support the Cyber Data Operations team ... Familiarity with data visualization tools such as Tableau, Power BI, or Google Data Studio.

Google Data Analytics Professional Certificate Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any ...

Proficiency in Google Analytics setup and Pixels, including tracking code implementation, goal and funnel configuration, and data filtering. * Expertise in creating custom dimensions, metrics, and ...

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Power BI, Tableau, or Google Data Analytics certifications Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without ...

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Entry Level Data Analyst

Manhattan, NY · Remote

$45.52K - $77.18K/yr

About the job Entry Level Data Analyst Responsibilities: * Development of policies, definitions, standards, and processes for costing data. * Responsible for managing compliance to policies ...

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Entry Level Google Data Analyst information

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

As of May 28, 2026, the average hourly pay for entry level google data analyst in Brooklyn, NY is $34.62, according to ZipRecruiter salary data. Most workers in this role earn between $22.26 and $38.65 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Google Data Analyst, and why are they important?

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 some 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 Entry Level Google Data Analysts?

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 are the most commonly searched types of Google Data Analyst jobs in Brooklyn, NY? The most popular types of Google Data Analyst jobs in Brooklyn, NY are:
What cities near Brooklyn, NY are hiring for Entry Level Google Data Analyst jobs? Cities near Brooklyn, NY with the most Entry Level Google Data Analyst job openings:
Data Analyst

Data Analyst

eTeam

Jersey City, NJ • On-site

Other

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Job description

Data Analyst

We are seeking a senior level Data Analyst to support the Cyber Data Operations team within ISDAD. This individual needs to be adept at analyzing data sources, creating technical requirements and overall scrubbing data from upstream source systems. They will work with both the stakeholders and the data development teams in order to understand the data sources being loaded into the CyberDW.

Responsibilities:

  • Gather and organize data from internal systems, spreadsheets, and reports.
  • Analyze trends, patterns, and business performance using Excel or BI tools.
  • Any exposure to SQL and relational databases is a plus.
  • Proficient in Python a plus. Familiarity with data visualization tools such as Tableau, Power BI, or Google Data Studio.
  • Strong attention to detail and ability to interpret data in a business context.
  • Effective communication skills and ability to work with cross-functional teams.