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Entry Level Google Data Analyst Jobs in Virginia

TLA-LLC

Data Analyst

Mclean, VA · On-site

Power BI Data Analyst Associate Google Data Analytics Professional Certificate Certified Analytics Professional (CAP) AWS Certified Data Analytics - Specialty (for roles involving cloud platforms ...

TLA-LLC

Data Analyst

Mclean, VA · On-site

Power BI Data Analyst Associate • Google Data Analytics Professional Certificate • Certified Analytics Professional (CAP) AWS Certified Data Analytics - Specialty (for roles involving cloud ...

Deloitte

Google Data Engineering Consultant

Rosslyn, VA

$130K - $156K/yr

You will help build scalable platforms, analytics products, and data pipelines that enable mission ... Work you'll do Build and support cloud-based data and artificial intelligence solutions on Google ...

Deloitte

Google Data Engineering Consultant

Arlington, VA · On-site

$131K - $158K/yr

You will help build scalable platforms, analytics products, and data pipelines that enable mission ... Professional development From entry-level employees to senior leaders, we believe there's always ...

Asta CRS Inc.

Be Seen First

Data Analyst/Business Data Analyst

Richmond, VA · On-site

$28 - $32/hr

We are seeking W2 Fulltime entry level Business & Data Analyst's with 6 months to 3 year of experience to become an integral part of our team! You will analyze data to understand business and market ...

New

Radford University

Data Analyst

Radford, VA · On-site

$38K/yr

Radford City - Main Campus The Data Analyst is an entry-level position that provides essential data and reporting support to the Senior Director of Operations and Planning for Radford University ...

TriOptus LLC

Sr Data Analyst

Reston, VA · On-site

$89K - $112K/yr

Knowledge of marketing data sets like Google Analytics, Social Media Platforms, Salesforce, Marketing Cloud and Customer Data Platforms.

Tresume and Asta CRS

Entry Level Data Analyst

Herndon, VA · On-site

$25 - $30/hr

Job Requirements -  Work on gathering requirement and document user stories, use cases, process flow diagrams, cross-functional diagrams, value stream maps as required by the business teams  ...

Beyond SOF

Data Analyst (TS/SCI, 3 yrs exp)

Reston, VA · On-site

Excel, Google Sheets, R or Python, SAS, or Microsoft Power BI all a plus * Research: Capable of conducting thorough research to justify trends and anomalies within data * Statistics and math: Capable ...

Asta CRS Inc.

Be Seen First

Junior Level Business/Data Analyst

Mclean, VA · On-site

$54K - $60K/yr

We are seeking entry level Business & Data Analyst's with 6 months to 1 year of experience to become an integral part of our team! You will analyze data to understand business and market trends in ...

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Entry Level Google Data Analyst information

Can a beginner do Google data analytics?

A beginner can start in a Google data analyst role by learning foundational skills such as data cleaning, basic analysis, and visualization using tools like Google Sheets and Data Studio. Entry-level positions often require familiarity with SQL and Excel, and certifications like Google Data Analytics Professional Certificate can help build relevant knowledge. With dedication, beginners can develop the skills needed for such roles.

What is the salary of entry level data analyst in Google?

The average starting salary for an entry-level data analyst at Google is approximately $70,000 to $90,000 per year, depending on location and experience. Google also offers benefits such as health insurance, stock options, and professional development opportunities, and proficiency in tools like SQL, Python, and data visualization is often required.

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 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.

Does Google hire freshers data analysts?

Google does hire entry-level data analysts, including fresh graduates or those with limited experience, often requiring skills in data analysis tools like SQL, Excel, and data visualization software. Candidates typically need a relevant degree and may undergo training or onboarding programs for new hires.

Does Google hire entry level?

Google hires entry-level candidates for roles such as Data Analyst, often requiring skills in data analysis tools like SQL and Excel, along with a bachelor's degree. These positions typically offer training and onboarding for new graduates or those with limited professional experience.
What are the most commonly searched types of Google Data Analyst jobs in Virginia? The most popular types of Google Data Analyst jobs in Virginia are:
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Entry Level Google Data Analyst jobs near you

Data Analyst

TLA-LLC

Mclean, VA • On-site

Other

Posted 24 days ago

Job description

TLA is seeking a detail-oriented and analytical Data Analyst to transform complex data sets into actionable business insights. The ideal candidate will be responsible for the full lifecycle of data analysis, including data collection, cleaning, interpretation, and presentation of findings to stakeholders to drive strategic decision-making across the organization.

Key Responsibilities:

  • Data Collection & Management: Collect data from primary and secondary sources, and maintain databases and data systems to ensure accuracy and integrity.
  • Data Cleaning & Preparation: Clean, filter, and transform raw data to remove inconsistencies and prepare it for analysis, ensuring high data quality.
  • Statistical Analysis: Apply appropriate statistical methods and techniques to interpret data, analyze trends, and identify patterns and correlations that provide valuable business insights.
  • Reporting & Visualization: Develop and maintain reports, interactive dashboards, and Key Performance Indicators (KPIs) using data visualization tools to communicate findings in an understandable format for non-technical stakeholders.
  • Problem Solving: Collaborate with cross-functional teams (e.g., Marketing, Finance, Operations) to understand business requirements, define analytical needs, and provide data-driven recommendations to solve complex problems and improve processes.
  • Documentation: Create clear and concise documentation of data sources, analysis processes, and results to ensure reproducibility and transparency.
  • Process Improvement: Identify and implement opportunities to automate and streamline data collection and reporting processes for improved efficiency.

Required Skills and Experience:

         Proficiency in SQL: Essential for querying and managing data in relational databases, including advanced functions like joins and aggregations.

         Strong Excel Skills: Advanced proficiency with spreadsheet software, including pivot tables, VLOOKUP/INDEX-MATCH, and complex formulas for data manipulation and quick analysis.

         Programming Languages: Experience with statistical programming languages such as Python (using libraries like Pandas, NumPy, and Matplotlib) or R for complex analysis and automation.

         Data Visualization Tools: Hands-on experience with Business Intelligence (BI) and data visualization platforms (Tableau or Microsoft Power BI preferred).

         Statistical Knowledge: Solid understanding of statistical concepts, including hypothesis testing, regression analysis, and A/B testing.

Soft Skills

         Analytical and Critical Thinking: The ability to logically approach complex problems, ask the right questions, and evaluate data objectively.

         Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical findings into clear, compelling narratives for diverse audiences.

         Attention to Detail: Meticulous attention to detail to ensure the accuracy and reliability of data and analysis.

         Problem-Solving Abilities: A proactive mindset to troubleshoot data issues and find innovative solutions.

         Collaboration: Strong interpersonal skills and the ability to work effectively within a team environment and with various stakeholders.

Experience and Education

Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.

Preferred Certifications and Qualifications:

While not required, the following certifications are a plus:

         Microsoft Certified: Power BI Data Analyst Associate

         Google Data Analytics Professional Certificate

         Certified Analytics Professional (CAP)

AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)

Requirements

Preferred Certifications and Qualifications:

While not required, the following certifications are a plus:

         Microsoft Certified: Power BI Data Analyst Associate

         Google Data Analytics Professional Certificate

         Certified Analytics Professional (CAP)

AWS Certified Data Analytics - Specialty (for roles involving cloud platforms)

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