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Remote Google Data Analytics Certificate Jobs (NOW HIRING)

Hartford, CT/REMOTE Duration: 12+ years This is Us The State of Connecticut is leading a new ... There will be a heavy emphasis on Google Analytics, Google Search Console, Power BI, and other ...

Manager, Data Analytics

$158K - $224K/yr

Manager, Data Analytics Santa Monica, California, United States About the Manager, Data Analytics ... Google Analytics, and Excel. Location: We are currently hiring this role in Santa Monica ...

Data Analyst

Denver, CO · Remote

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Manager, Data Analytics

Santa Monica, CA · On-site +1

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... Google Analytics, and Excel.) Location: We are currently hiring this role in Santa Monica ...

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

Salary: $90k-120K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will be ...

Utilize data analytics tools and software (e.g., Google Analytics, social media analytics platforms) to derive meaningful insights from media data.Integrate data from various sources to provide a ...

Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ... Onsite or remote: 60% onsite * Vision: Daily be able to see and read computer screen and other ...

Hybrid role* (Remote/ on-site) , any location United States Director - Data & Analytics At Tenthpin, we are hiring a Director - AI, Data, Analytics to help shape the next generation of our global AI ...

Hybrid role* (Remote/ on-site) , any location United States Director - Data & Analytics At Tenthpin, we are hiring a Director - AI, Data, Analytics to help shape the next generation of our global AI ...

PPC Manager

San Francisco, CA · On-site +1

$20K/mo

Analyze data to extract insights and transform those insights into actionable changes that will ... Google Analytics Certified. * Experience with landing page optimization - Unbounce/Instapage or ...

Experience using technical tools such as Python, JavaScript, Google Apps Script, SQL, BI platforms, or cloud data services to improve reporting, analysis, or operational workflows. * Working ...

Remote Position Duration: 6+ Months About the Role * This Data & Analytics Technical Analyst will be responsible for the investigation, resolution, coordination, and support of Data & Analytics ...

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Remote Google Data Analytics Certificate information

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How much do remote google data analytics certificate jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for remote google data analytics certificate in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.

How much does a Google data analyst earn with a certificate?

A Google Data Analytics Certificate can help individuals qualify for entry-level data analyst roles, which typically have salaries ranging from $50,000 to $70,000 annually. Experienced data analysts with additional skills in tools like SQL, Excel, and Tableau can earn higher salaries, often exceeding $80,000 per year.

Can you get a job at Google with Google certification?

A Google Data Analytics Certificate can enhance your qualifications for data-related roles at Google, but it does not guarantee employment. Google typically considers a combination of skills, experience, and education when hiring for data analyst positions or similar roles. Earning the certification demonstrates foundational knowledge in data analysis tools like spreadsheets, SQL, and data visualization, which can improve your chances but is not a sole qualification for employment.

Can I get a job with a Google data analytics certificate?

A Google Data Analytics Certificate can help you qualify for entry-level data analyst roles by demonstrating foundational skills in data cleaning, visualization, and tools like SQL and Tableau. However, employers often value additional experience or education, so combining the certificate with practical projects or internships can improve job prospects.

What is the difference between Remote Google Data Analytics Certificate vs Data Analyst?

AspectRemote Google Data Analytics CertificateData Analyst
Required CredentialsGoogle Data Analytics Certificate, basic Excel, SQL, Tableau skillsDegree in related field, certifications like Google Data Analytics, SQL, Tableau
Work EnvironmentRemote, project-based, entry-level rolesOffice or remote, varies by employer, entry to mid-level roles
Industry UsageTraining program for entry-level data roles across industriesFull-time data analysis roles in various industries

The Remote Google Data Analytics Certificate provides foundational skills and certification for entry-level data roles, often serving as a stepping stone to becoming a Data Analyst. While both roles require similar technical skills, Data Analysts typically have more experience, a degree, and may hold additional certifications. The certificate is ideal for beginners seeking to enter the field quickly, whereas Data Analysts often work in more complex projects and have broader responsibilities.

What is a Remote Google Data Analytics Certificate?

A Remote Google Data Analytics Certificate is a professional certification offered by Google through online learning platforms, such as Coursera, that can be completed fully online from anywhere. This certificate program is designed to teach foundational data analytics skills, including data cleaning, analysis, visualization, and the use of tools like spreadsheets, SQL, and R. It is suitable for beginners and aims to prepare learners for entry-level data analyst roles, making it a popular choice for those seeking to start a career in data analytics remotely.

Is Google's data analytics certificate worth it?

The Google Data Analytics Certificate provides foundational skills in data analysis, including tools like Excel, SQL, and Tableau, which are valuable for entry-level data roles. It is recognized by employers and can help demonstrate your knowledge, but job success also depends on practical experience and additional skills. The certificate is a cost-effective way to start a data analytics career but should be complemented with real-world projects and continuous learning.

What are the key skills and qualifications needed to thrive as a Data Analyst with a Google Data Analytics Certificate, and why are they important?

To thrive as a Data Analyst with a Google Data Analytics Certificate, you need strong analytical skills, proficiency in data visualization, and foundational knowledge in statistics, often supported by a relevant degree or certification like the Google Data Analytics Certificate. Familiarity with tools such as Excel, SQL, Tableau, and Google Analytics is typically required. Attention to detail, problem-solving, and effective communication are standout soft skills in this role. These skills enable accurate data interpretation, clear reporting, and actionable insights that drive business decisions.

How does completing the Remote Google Data Analytics Certificate prepare me for collaborating with cross-functional teams in a professional setting?

The Remote Google Data Analytics Certificate emphasizes real-world projects and case studies that mirror workplace scenarios, equipping you with practical data analysis skills and experience in communicating insights effectively. Throughout the program, you’ll learn to use tools like spreadsheets, SQL, and Tableau to analyze and visualize data, which are essential when collaborating with marketing, finance, or product teams. This experience helps you develop the ability to translate complex data findings into actionable recommendations, a key expectation in most data-driven organizations. Additionally, the remote format fosters self-management and virtual communication skills, both of which are highly valued in today's hybrid and distributed work environments.
More about Remote Google Data Analytics Certificate jobs
What cities are hiring for Remote Google Data Analytics Certificate jobs? Cities with the most Remote Google Data Analytics Certificate job openings:
What are the most commonly searched types of Google Data Analytics Certificate jobs? The most popular types of Google Data Analytics Certificate jobs are:
What states have the most Remote Google Data Analytics Certificate jobs? States with the most job openings for Remote Google Data Analytics Certificate jobs include:
Infographic showing various Remote Google Data Analytics Certificate job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 68% Full Time, 4% Part Time, 1% Temporary, and 25% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,873 per year, or $54.7 per hour.

Data Analytics and Strategy Lead

STI

Remote

Full-time

Posted 21 days ago


Job description

Job Title: Data Analytics and Strategy Lead
Location: Hartford, CT/REMOTE
Duration: 12+ years
This is Us
The State of Connecticut is leading a new digital transformation in government to uplift the lives and well-being of our residents, businesses, and employees. Our goal is to improve access to our programs and services, making interaction with government easier. When you join the Connecticut Digital Service, you'll be part of a team creating simple experiences personalized for everyone. If you enjoy solving complex problems with a curious, supportive, high-performing team, then the State of Connecticut is the place for you.
Is This You?
Big Thinker. You see data as a means for reaching strategic goals and can use data to impact both the business and the customer.
Problem Solver. You recognize the critical role data plays in understanding and solving pain points.
Organically Curious. You see beyond the obvious to identify and fill-in the missing data and gaps of understanding
Service-Oriented. You are passionate about government innovation and improving services for your fellow citizens.
About the Role
The Data Analytics and Strategy Lead will be a key player in establishing a robust, scalable, and accessible data practice for the State of Connecticut. This role requires a unique combination of technical expertise, strong analytical skills, and a highly strategic mindset to drive awareness and adoption of data and analytics. This person will maintain and expand on existing data structures including pipelines, databases, and dashboards, while also helping to build a sustainable data practice that drives government-wide optimization.
You will guide teams in leveraging data to improve the end-to-end user journey, identify product and service challenges, and foster a culture where data is integrated into everyday operations. You will also ensure the integrity, uptime, and accessibility of data technology to support the state's initiatives.
You must have a deep understanding of data modelling, user research, data analysis, visualizations, and the strategic application of data to improve service delivery at every stage of the customer lifecycle. You will need to have a strong background in quantitative/qualitative data management, data research methodologies, data engineering, data analysis, and executive-level communication skills to be successful in this role. There will be a heavy emphasis on Google Analytics, Google Search Console, Power BI, and other behavioral metric systems.
Note: This is a full-stack data position, which requires a cross-functional skillset in engineering, analysis, and strategy. Do not apply if you do not have proficiency in each of these areas.
Key Responsibilities
  1. Data Strategy and Leadership:
    • Help lead the development and execution of the state's data practice, focusing on clear and actionable strategies and aligning with organizational goals.
    • Work closely with stakeholders to identify critical data needs and design solutions that address them.
    • Mentor and guide non-technical teams to build their confidence and capability in using data for decision-making.
  2. Analysis and Insights:
    • Collect, compare, and analyze complex data sets to identify trends, patterns, and actionable opportunities.
    • Present findings in clear, visually engaging formats tailored to audiences with varying levels of data literacy.
    • Create detailed reports, dashboards, and presentations that drive organizational improvements and adoption of insights.
  3. Technical Maintenance and Expansion:
    • Maintain and optimize existing pipelines, databases, and Power BI dashboards currently in use at the State.
    • Develop and implement strategies to scale data systems as needs grow, ensuring performance and data integrity.
    • Oversee ETL processes to integrate data from new sources and improve workflows.
  4. User Engagement and Enablement:
    • Design and deliver training programs to help non-technical teams incorporate data and analysis into their regular workflows.
    • Collaborate with teams to develop KPIs and frameworks for measuring the impact of data-driven initiatives.
    • Facilitate workshops, office hours, and regular program updates to ensure alignment across teams.
  5. Cross-Functional Collaboration:
    • Partner with leadership, IT teams, and other stakeholders to identify priorities and implement solutions.
    • Act as a liaison between technical teams and business stakeholders, ensuring alignment and understanding.

Experience Required for This Role
Data Collection & Analysis - at least 3 years of measurable experience in the following:
  • Analyzing user data and metrics to drive specific business goals
  • Using data to isolate problems and develop solutions
  • Utilizing predictive analysis, gap analysis, quantitative reporting, user research, and statistical analysis
  • Providing insights and recommendations based on data
  • Bridging the data divide between technical, product, and customer-facing teams
  • Developing and applying data models to improve the collection and analysis of data
  • Crafting compelling presentations and narratives from data findings. Emphasis on Power BI dashboards
  • Engaging in data experiments that provide cross-persona or enterprise-level analysis
  • Data cleansing, optimizing, and ETL
  • Developing and analyzing user surveys
  • Organizing and storing data and queries for easy access in future work projects
  • Documenting data collection and analysis procedures
  • Preparing and executing ROI analysis

Technical Expertise - at least 3 years of measurable experience in the following:
  • Managing data pipelines, ETL processes, and databases (e.g., SQL, Power BI, Azure Data Lake)
  • Proficiency in Python or R for data manipulation and analysis.
  • Data modeling, data governance, and data quality best practices
  • Administering analytics software and platforms (GA, GTM, SPSS, Excel, Microsoft Office Suite)
  • Using business intelligence tools like Tableau or Power BI
  • Data collection from on-prem and cloud platforms like Microsoft, Azure, and Salesforce
  • Leveraging statistical analysis and algebra
  • Leveraging economics, business/systems analysis, and quality assurance
  • Manipulating large, complex data sets
  • Documenting data processes and configurations

Strategy, Communications, and Governance - at least 3 years of measurable experience in the following:
  • Developing a data practice that incorporates strategy, training, tool development, and support
  • Communication and collaboration with cross-functional teams and government partners
  • Crafting compelling presentations and narratives from data findings
  • Explaining data analysis to stakeholders with varying levels of data comprehension
  • Using data to help internal teams improve capabilities and operations
  • Training non-technical teams on data analysis and its real-world application
  • Performing competitor research to help improve products and services
  • Researching latest market trends and implementing knowledge
  • Organizing focus groups and feedback loops to establish data collection
  • Establishing and integrating appropriate KPIs to help track success
  • Improving research or data management environments
  • Establishing standardized testing of products/services using data
  • Ability to juggle multiple project workstreams
  • Ability to maintain strict confidentiality
  • Judgment in dealing effectively and diplomatically with all levels of government staff

Other Preferred Skills & Qualifications
  • Deep domain knowledge for a particular industry - especially Health, Business, or Education
  • Experience with behavioral or CRM-related metrics platforms
  • Bachelor's degree in computer science, business, IT, management, administration, economics, or information science
  • Experience with machine learning, AI, and cognitive service engine models
  • 2 years experience with Power BI or other data visualization platforms
  • 2 years of user research and feedback analysis
  • 2 years of data governance and working within data security groups
  • 1 year of API development
  • 1 year of marketing experience, supported through metrics
  • 1 year of project management experience
  • 1 year of experience with customer relationship management platforms such as Salesforce
  • 1 year of experience with web content management platforms such as Sitecore