... fully remote, global environment. You will be responsible for building reliable data pipelines ... Acting as a key enabler of data-driven decision-making, you will work closely with engineering and ...
... fully remote, global environment. You will be responsible for building reliable data pipelines ... Acting as a key enabler of data-driven decision-making, you will work closely with engineering and ...
Manage a balanced team of Business Intelligence and Data Engineers autonomously, delivering ... Exposure to data platforms and tools (GCP, Airflow, Qlik, Looker) * Strong prioritization and time ...
Manage a balanced team of Business Intelligence and Data Engineers autonomously, delivering ... Exposure to data platforms and tools (GCP, Airflow, Qlik, Looker) * Strong prioritization and time ...
Expertise in Qlik, Tableau, PowerBI or Looker Studio * Experience in Adobe Clickstream, Adobe ... Experience with an object-oriented programming language (R, Python etc.) * Ability to write ...
Expertise in Qlik, Tableau, PowerBI or Looker Studio * Experience in Adobe Clickstream, Adobe ... Experience with an object-oriented programming language (R, Python etc.) * Ability to write ...
Remote Looker Developer information
What is the difference between Remote Looker Developer vs Data Analyst?
| Aspect | Remote Looker Developer | Data Analyst |
|---|---|---|
| Primary Role | Designing and developing dashboards and reports using Looker | Analyzing data to identify trends and insights |
| Skills & Certifications | Looker certifications, SQL, data modeling | Excel, SQL, data visualization tools |
| Work Environment | Remote, tech-focused teams in various industries | Remote or on-site, across multiple industries |
| Employer Usage | Companies using Looker for BI solutions | Organizations seeking data-driven decision making |
While both roles involve working with data, a Remote Looker Developer specializes in creating dashboards and reports within Looker, requiring technical skills like data modeling and Looker certifications. A Data Analyst focuses on interpreting data to provide insights, often using a broader set of tools. Both roles can be remote and are vital in data-driven organizations, but their core responsibilities differ.
What are some common challenges faced by Remote Looker Developers, and how can they be addressed?
Remote Looker Developers often encounter challenges such as collaborating effectively with distributed data teams, managing different time zones, and ensuring data security across remote environments. To address these, it's important to establish clear communication channels (like Slack or project management tools), schedule regular check-ins, and follow best practices for version control and documentation. Utilizing secure VPN connections and adhering to company data governance policies also helps maintain data integrity and compliance while working remotely.
What are the key skills and qualifications needed to thrive as a Remote Looker Developer, and why are they important?
To thrive as a Remote Looker Developer, you need strong skills in SQL, data modeling, and business intelligence, typically supported by experience with Looker and a background in computer science or data analytics. Familiarity with LookML, version control systems (such as Git), and cloud data warehouses like BigQuery or Redshift is essential. Excellent communication, problem-solving abilities, and self-motivation are important soft skills for collaborating virtually and translating business requirements into data solutions. These skills ensure effective data visualization, actionable insights, and seamless teamwork in a remote environment.
What is a Remote Looker Developer?
A Remote Looker Developer is a data professional who specializes in creating, managing, and optimizing data models, dashboards, and reports using Looker, a business intelligence and data visualization platform. They work remotely, collaborating with teams via digital communication tools to gather requirements, transform data sources, and deliver analytics solutions that help organizations make data-driven decisions. Remote Looker Developers are skilled in LookML (Looker's modeling language), SQL, and often have experience with cloud data warehouses and analytics best practices.
What are the most commonly searched types of Looker Developer jobs in Missouri? The most popular types of Looker Developer jobs in Missouri are:
What are popular job titles related to Remote Looker Developer jobs in Missouri? For Remote Looker Developer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Looker Developer jobs in Missouri look for? The top searched job categories for Remote Looker Developer jobs in Missouri are:
- Artificial Intelligence Data Analyst
- Senior Specialist Online Microsoft Power Bi
- Work From Home Business Intelligence
- Business Intelligence Business Analyst
- Mobile Business Intelligence Tableau
- Hiring Analytics
- Power Bi Analyst Night Shift
- Sports Business Intelligence Analyst
- Business Analyst Internships Opt Cpt
Full-time
Posted 8 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 Data Specialist based in Netherlands.
This role is focused on owning and evolving end-to-end data infrastructure, analytics, and reporting in a fully remote, global environment. You will be responsible for building reliable data pipelines, designing scalable dashboards, and ensuring the accuracy and integrity of all business-critical reporting. Acting as a key enabler of data-driven decision-making, you will work closely with engineering and business teams to transform raw data into clear, actionable insights. The environment is fast-moving and highly autonomous, requiring strong ownership, precision, and proactive problem-solving. You will also play a central role in identifying anomalies, improving data quality, and strengthening analytics systems across the organization. This is a high-impact position where your work directly influences strategic decisions and operational performance.
Accountabilities:
- Manage and optimize end-to-end data pipelines and data warehouse systems using ETL tools such as Stitch and Google BigQuery.
- Design, build, and maintain dashboards and reporting systems using Looker Studio to support business intelligence needs across teams.
- Ensure accurate implementation and monitoring of Google Analytics (GA4), including event tracking, validation, and reporting consistency.
- Execute rigorous data validation and QA processes to guarantee accuracy, consistency, and reliability of all reporting outputs.
- Proactively monitor data flows to detect anomalies, identify issues, and implement corrective actions before they impact decision-making.
- Develop custom, on-demand reports and analyses for cross-functional business teams.
- Collaborate with engineering and stakeholders to improve data architecture, tracking systems, and reporting frameworks.
- Maintain strong documentation, task tracking, and structured workflows using tools such as Trello and Slack.
- 3+ years of experience in a Data Analyst, Data Specialist, or analytics-focused role.
- Hands-on experience with data pipelines and ETL tools such as Stitch or similar, and data warehousing in Google BigQuery.
- Strong proficiency in Looker Studio, including dashboard creation and advanced calculated metrics or reporting logic.
- Experience with Google Analytics (GA4 preferred), including event tracking, implementation, and interpretation of behavioral data.
- Proven ability to validate datasets, QA dashboards, and ensure end-to-end data accuracy.
- Strong analytical mindset with the ability to detect trends, anomalies, and actionable insights from complex datasets.
- Experience delivering custom reports and insights for cross-functional teams in fast-paced environments.
- Excellent organizational skills with the ability to document work and manage tasks independently in a remote setup.
- Strong communication skills, with responsiveness and clarity in distributed team environments.
- Fully remote-first work environment with global flexibility
- Opportunity to directly influence data-driven decision-making across the organization
- High autonomy with ownership over end-to-end analytics and data systems
- Access to modern data stack technologies and tools
- Agile, low-bureaucracy environment focused on execution and impact
- Strong emphasis on experimentation and continuous improvement
- Collaborative global team culture across multiple time zones
- Opportunity to build scalable analytics systems from the ground up
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?
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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.
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