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Entry Level Google Data Analyst Jobs in Michigan

Tech Tammina LLC

Data Analyst II

Jackson, MI · On-site

Experience with other data analysis tools such as Google Sheets, Tableau, and Power BI is a plus.. * Experience working in Voice of Customer team is preferred but not required. * Strong analytical ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

The Data Analyst / Front‑End App Developer is responsible for designing, building, and ... Self-motivated, resourceful, and organized in managing complex work Employment Type Entry Level ...

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

... Google Cloud Platform (GCP). * Experience with specific machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Experience Required: * Experience with data manipulation and analysis ...

Accenture

Data Protection, A/SA-Evergreen

Detroit, MI

$84K - $100K/yr

As a Data Protection Senior Analyst, you'll support the delivery of data protection, data ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

New

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

Collaborate with Ford's Global Data Insights & Analytics and IT teams. Utilize Python, SQL, and machine learning, alongside experience with cloud platforms, including Google Cloud. Translate business ...

Varsity Tutors

Data Analysis Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ... data analysis capabilities. * Effective Teaching Methods: Ability to identify concepts students ...

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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 Michigan?

The most popular types of Google Data Analyst jobs in Michigan are:

What are popular job titles related to Entry Level Google Data Analyst jobs in Michigan?

For Entry Level Google Data Analyst jobs in Michigan, the most frequently searched job titles are:

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

The top searched job categories for Entry Level Google Data Analyst jobs in Michigan are:

What cities in Michigan are hiring for Entry Level Google Data Analyst jobs?

Cities in Michigan with the most Entry Level Google Data Analyst job openings:

Entry Level Google Data Analyst jobs near you
Infographic showing various Entry Level Google Data Analyst job openings in Michigan as of July 2026, with employment types broken down into 86% Full Time, 9% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Data Analyst II

Tech Tammina LLC

Jackson, MI • On-site

Contractor

Re-posted 23 days ago

Job description

Role: Data Analyst II

Location: Jackson, MI (Onsite/ Hybrid)

Duration: Long term

Rate: Market

Duties:

·       We are seeking a detail-oriented and collaborative Data Analyst to support our Voice of the Customer (VoC) organization.

·       This role is essential to building a strong data foundation that enables data-driven decision-making across the enterprise.

·       The ideal candidate will be responsible for identifying, collecting, and consolidating data from various internal sources, and working closely with cross-functional teams to ensure outputs are translated into meaningful insights that support strategic initiatives and enhance the customer experience.

 

RESPONSIBILITIES

·       Identify and gather data from multiple sources across the organization to support VoC initiatives.

·       Assess gaps and inefficiencies in current data processes; recommend and implement improvements.

·       Establish standards and best practices for data collection and consolidation.

·       Work cross-functionally to ensure data output aligns with business needs and can be translated into actionable insights.

·       Maintain and manage data integrity across systems and reports.

·       Support the development of dashboards, reports, and presentations that clearly communicate findings

 

Skills:

  • Proven experience working with diverse data sources and large datasets.
  • Proficient in Excel, including the use of macros for data analysis.
  • Experience with other data analysis tools such as Google Sheets, Tableau, and Power BI is a plus..
  • Experience working in Voice of Customer team is preferred but not required.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and interpersonal skills; ability to build relationships across departments.
  • Experience in establishing data standards and improving data processes is a plus.
  • Ability to work independently and manage multiple priorities in a fast-paced environment.
  • Comfortable navigating ambiguity and driving clarity through structured analysis.