Proficiency with BI and visualization tools such as Tableau, Sigma, Metabase, or similar platforms ... This processing is based on legitimate interest and pre-contractual measures under applicable data ...
Proficiency with BI and visualization tools such as Tableau, Sigma, Metabase, or similar platforms ... This processing is based on legitimate interest and pre-contractual measures under applicable data ...
Contractual Metabase information
See salary details
$8.65 - $14.29
1% of jobs
$14.29 - $19.93
5% of jobs
$23.33 is the 25th percentile. Wages below this are outliers.
$19.93 - $25.57
31% of jobs
$25.57 - $31.21
12% of jobs
The median wage is $31.77 / hr.
$31.21 - $36.84
11% of jobs
$36.84 - $42.48
14% of jobs
$43.33 is the 75th percentile. Wages above this are outliers.
$42.48 - $48.12
11% of jobs
$48.12 - $53.76
1% of jobs
$53.76 - $59.40
4% of jobs
$59.40 - $65.03
9% of jobs
$65.03 - $70.67
2% of jobs
$8
$38
$70
How much do contractual metabase jobs pay per hour?
As of Jul 29, 2026, the average hourly pay for contractual metabase in the United States is $38.10, according to ZipRecruiter salary data. Most workers in this role earn between $23.80 and $45.19 per hour, depending on experience, location, and employer.
What are some common challenges faced by professionals working in a Contractual Metabase role, and how can they be addressed?
Professionals working in a Contractual Metabase role often encounter challenges such as integrating data from diverse sources, ensuring data accuracy, and managing tight project deadlines due to the contractual nature of the position. Collaborating effectively with cross-functional teams, such as data engineers and business analysts, is essential to clarify requirements and maintain data consistency. Staying organized, proactively communicating progress, and utilizing Metabase’s collaboration features can help address these challenges and ensure successful project delivery.
What are the key skills and qualifications needed to thrive as a Metabase Data Analyst, and why are they important?
To thrive as a Metabase Data Analyst, you need strong analytical skills, proficiency in SQL, and a background in data analysis or business intelligence. Familiarity with Metabase, data visualization tools, and database management systems is typically required, along with experience in handling large datasets. Excellent problem-solving abilities, attention to detail, and effective communication skills help you translate data insights into actionable business decisions. These competencies ensure accurate reporting, meaningful data interpretation, and valuable contributions to organizational strategy.
What is a Contractual Metabase professional?
A Contractual Metabase professional is someone hired on a contract basis to manage, develop, or analyze data using Metabase, an open-source business intelligence tool. These professionals often assist organizations with dashboard creation, data visualization, SQL querying, and integrating Metabase with various data sources. Their contractual role means they typically work on specific projects or for a defined period, providing flexible and specialized expertise. This arrangement helps businesses leverage Metabase’s capabilities without committing to a full-time hire.
What is the difference between Contractual Metabase vs Contract Data Analyst?
| Aspect | Contractual Metabase | Contract Data Analyst |
|---|---|---|
| Credentials | Knowledge of Metabase, SQL, data visualization tools | Degree in Data Science, Statistics, or related field; SQL skills |
| Work Environment | Remote or on-site, project-based | Remote or on-site, project-based |
| Industry Usage | Used for creating dashboards and data reporting | Used for analyzing data, generating reports, insights |
| Common Search Intent | Understanding Metabase roles, setup, and usage | Data analysis, reporting, and insights generation |
Contractual Metabase professionals focus on setting up and managing Metabase dashboards and data visualization tools, while Contract Data Analysts analyze data sets to generate insights. Both roles often require SQL skills and work in similar environments, but their core responsibilities differ: one emphasizes tool management, the other data analysis.
What cities are hiring for Contractual Metabase jobs? Cities with the most Contractual Metabase job openings:
What are the most commonly searched types of Metabase jobs? The most popular types of Metabase jobs are:
What states have the most Contractual Metabase jobs? States with the most job openings for Contractual Metabase jobs include:
Full-time
Medical, PTO
Posted 26 days ago
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 Senior Data Scientist based in Netherlands.
This is an exciting opportunity to join a fast-growing, remote-first environment at the forefront of fraud prevention and financial risk intelligence. In this role, you will leverage advanced analytics, machine learning, and large-scale data to tackle complex fraud challenges with real-world impact. You will work closely with clients and cross-functional teams to design innovative risk solutions, optimize decision-making, and improve product performance. The position combines hands-on technical work with strategic problem-solving and stakeholder collaboration. Ideal for professionals who enjoy turning data into actionable insights, this role offers significant ownership, exposure to cutting-edge technologies, and the opportunity to influence the future of risk management on a global scale.
Accountabilities:
- Design, build, and deploy machine learning models to identify and prevent fraud across a variety of fintech and risk-related use cases.
- Drive a data-first culture by promoting analytical thinking and data-driven decision-making across internal teams and client engagements.
- Develop, monitor, and optimize performance metrics to measure the effectiveness of risk strategies and product outcomes.
- Conduct advanced analyses to uncover insights that improve fraud prevention, approval rates, and overall customer experience.
- Partner directly with clients to understand their fraud challenges and provide clear, actionable recommendations based on data insights.
- Build automated dashboards and self-service reporting solutions using business intelligence tools.
- Collaborate closely with engineering teams to productionize models, improve scalability, and enhance data infrastructure.
- Work cross-functionally with product, business, and engineering stakeholders to translate business requirements into impactful analytical solutions.
- Support the development of innovative risk mitigation strategies while balancing security, efficiency, and user experience.
- 7+ years of experience in data science, quantitative modeling, analytics, or related data-focused roles, ideally within fraud prevention, financial risk, or fintech environments.
- Strong hands-on expertise in Python and/or R, along with advanced SQL skills for large-scale data analysis.
- Experience with machine learning model development, deployment, and performance monitoring in production environments.
- Proficiency with BI and visualization tools such as Tableau, Sigma, Metabase, or similar platforms.
- Strong analytical skills, including experience with exploratory data analysis, cohort analysis, and extracting insights from complex datasets.
- Ability to communicate technical findings effectively to both technical and non-technical audiences, including external stakeholders and clients.
- Excellent critical thinking, problem-solving, and decision-making capabilities with a proactive and results-oriented mindset.
- Experience collaborating within cross-functional, globally distributed teams.
- Familiarity with big data technologies such as Spark is considered an advantage.
- Strong English communication skills, both written and verbal.
- Competitive compensation package including cash compensation and equity participation.
- Remote-first working environment with the flexibility to work from anywhere.
- Flexible paid time off and additional year-end holiday breaks.
- Home office setup allowance to support your ideal remote workspace.
- Company-provided MacBook Pro and necessary equipment.
- Monthly meal allowance and social activity stipend.
- Annual health and wellness budget.
- Annual learning and professional development stipend.
- Opportunity to work alongside world-class professionals in a high-growth international environment.
- High levels of autonomy, ownership, and flexibility with a strong focus on results rather than hours worked.
- Inclusive and supportive culture that values work-life balance and personal well-being.
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!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job