Hands-on experience with dashboarding tools such as Google Data Studio or similar platforms ... Familiarity with data warehouse environments such as BigQuery, Snowflake, or Redshift is a plus.
Hands-on experience with dashboarding tools such as Google Data Studio or similar platforms ... Familiarity with data warehouse environments such as BigQuery, Snowflake, or Redshift is a plus.
Data Operations Analyst (S)
Miami Beach, FL · On-site
$16 - $18/hr
Owns and maintains the organization's measurement architecture end-to-end, including Google Tag ... Supports BigQuery, Azure Synapse, and Microsoft Fabric data models and reporting datasets ...
Data Operations Analyst (S)
Miami Beach, FL · On-site
$16 - $18/hr
Owns and maintains the organization's measurement architecture end-to-end, including Google Tag ... Supports BigQuery, Azure Synapse, and Microsoft Fabric data models and reporting datasets ...
Part Time Google Bigquery information
What is the difference between Part Time Google Bigquery vs Part Time Data Analyst?
| Aspect | Part Time Google Bigquery | Part Time Data Analyst |
|---|---|---|
| Required Skills | SQL, data warehousing, cloud platforms | Data interpretation, SQL, Excel, visualization tools |
| Work Environment | Cloud-based, technical, project-focused | Office or remote, analytical, reporting-oriented |
| Industry Usage | Tech, data-driven companies, cloud services | Business, marketing, finance sectors |
Part Time Google Bigquery roles focus on managing and analyzing large datasets using cloud-based tools, requiring technical skills like SQL and data warehousing. In contrast, Part Time Data Analyst positions involve interpreting data, creating reports, and visualizations, often in office or remote settings. Both roles are common in data-driven industries but serve different functions within organizations.
More about Part Time Google Bigquery jobs
What are the most commonly searched types of Google Bigquery jobs? The most popular types of Google Bigquery jobs are:
What job categories do people searching Part Time Google Bigquery jobs look for? The top searched job categories for Part Time Google Bigquery jobs are:
Part-time
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Job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Visualization Specialist (Part-Time) based in Netherlands.
This role sits at the intersection of data, product strategy, and user impact within a globally distributed, mission-driven environment. The Data Visualization Specialist will transform complex datasets into clear, actionable insights that guide product evolution and commercial decision-making. You will play a key role in shaping dashboards and analytical tools that support leadership in understanding user behavior and product performance. Working closely with product stakeholders, you will help define metrics, track engagement trends, and identify opportunities for improvement. The role requires both technical depth and strong communication skills to translate data into meaningful narratives. It offers the opportunity to directly influence decisions that improve digital services used across multiple markets and contexts.
Accountabilities:
- Design and develop intuitive dashboards and data visualizations that communicate key performance metrics and trends clearly using tools such as Google Data Studio.
- Ensure data accuracy and reliability by identifying, troubleshooting, and resolving inconsistencies or technical issues in datasets and reporting pipelines.
- Collaborate with product leadership to build executive-level dashboards that support roadmap planning and commercial strategy decisions.
- Perform in-depth data analysis to evaluate product performance across different regions, identifying trends, patterns, and actionable insights.
- Conduct funnel and churn analysis to map user journeys, uncover friction points, and recommend improvements to increase engagement and retention.
- Translate complex analytical findings into clear, story-driven insights for leadership, partners, and stakeholders.
- Contribute to defining product metrics and establishing a consistent measurement framework across teams.
- 3-5 years of experience in data analysis, data visualization, or a related analytical role.
- Strong proficiency in SQL for querying and manipulating large datasets.
- Hands-on experience with dashboarding tools such as Google Data Studio or similar platforms.
- Advanced Excel skills for analysis, reporting, and data modeling.
- Strong problem-solving abilities with experience debugging data issues and explaining technical concepts clearly.
- Ability to work independently and collaborate effectively in remote, cross-functional, global teams.
- Familiarity with data warehouse environments such as BigQuery, Snowflake, or Redshift is a plus.
- Degree in Computer Science, Data Science, Statistics, or a related field is preferred.
- Interest in leveraging data to improve digital services and user outcomes in emerging or diverse markets.
- Flexible part-time schedule (50-60% level of effort).
- Fully remote work arrangement within a global team.
- Opportunity to contribute to impactful, large-scale digital services used across multiple countries.
- Collaboration with international product and data teams in a mission-driven environment.
- Exposure to strategic decision-making processes influencing product growth and user experience.
- Competitive compensation aligned with experience and scope of responsibility.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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