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Remote Looker Developer Jobs in Missouri (NOW HIRING)

$66K - $83K/yr

Working closely with Finance, Accounting, and Data Engineering teams, you will design scalable ... Extensive experience with business intelligence tools such as Looker, Grafana, Tableau, Power BI ...

Partner with Data Engineering teams to maintain data quality, improve governance, and establish ... Comfortable working in remote, fast-paced environments with cross-functional teams. * Preferred ...

$66K - $83K/yr

You will work closely with supply, product, and engineering teams to improve decision-making across ... Flexible remote working options within compatible time zones. * Opportunity to work in a fast ...

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 ...

Experience building dashboards using Power BI, Tableau, Looker, or similar business intelligence ... Flexible remote work opportunity based in India. * Full-time engagement of approximately 30-40 ...

New

Remote Looker Developer information

What is the difference between Remote Looker Developer vs Data Analyst?

AspectRemote Looker DeveloperData Analyst
Primary RoleDesigning and developing dashboards and reports using LookerAnalyzing data to identify trends and insights
Skills & CertificationsLooker certifications, SQL, data modelingExcel, SQL, data visualization tools
Work EnvironmentRemote, tech-focused teams in various industriesRemote or on-site, across multiple industries
Employer UsageCompanies using Looker for BI solutionsOrganizations 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:
Infographic showing various Remote Looker Developer job openings in Missouri as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior Data Analyst (Fintech)

Jobgether

On-site, Remote

$66K - $83K/yr

Full-time

Posted 4 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 Analyst (Fintech) based in Netherlands.

This role offers the opportunity to build advanced analytics capabilities within a fast-growing financial technology environment.
You will transform complex financial data into reliable insights that support business decisions, regulatory reporting, and operational excellence.
Working closely with Finance, Accounting, and Data Engineering teams, you will design scalable reporting solutions from the ground up.
The position combines financial expertise, data analysis, automation, and business intelligence to improve transparency and efficiency.
You will play a critical role in ensuring data accuracy, audit readiness, and the development of data-driven strategies.
This is an ideal opportunity for an analytical professional who enjoys solving complex fintech challenges and creating impactful data solutions in a remote global team.

Accountabilities
  • Build and maintain financial reporting solutions, including complex metrics frameworks, conversion funnels, dashboards, and performance reporting using BI tools such as Looker, Grafana, or similar platforms.
  • Analyze financial data from BigQuery to generate actionable insights, including P&L reporting, portfolio performance analysis, accounting summaries, and executive-level reporting.
  • Automate reporting workflows and external data exports to support audit processes, compliance requirements, and regulatory reviews.
  • Partner with Finance and Accounting teams to gather, define, and translate business requirements into scalable financial data models and reporting solutions.
  • Design and implement data quality frameworks with automated validation checks, monitoring, and alerting mechanisms to ensure accuracy and reliability of financial information.
  • Develop financial models and forecasting solutions to support business planning, including LTV, retention, profitability, expected loss, and other key performance indicators.
  • Perform advanced financial analysis, anomaly detection, and experimentation using BigQuery, SQL, Python, and analytical frameworks.
  • Collaborate with Data Engineering teams to improve data warehouse structures, reporting processes, and analytical capabilities.
  • Leverage modern AI and analytics technologies to enhance financial insights, automation, and decision-making processes.
Requirements
  • 5+ years of experience in data analysis, financial analytics, regulatory reporting, or related roles within fintech, payments, banking, or financial services.
  • Expert-level SQL skills with experience extracting, transforming, and analyzing complex datasets in BigQuery or similar data platforms.
  • Strong proficiency in Python, including Pandas and NumPy, for data exploration, modeling, and advanced analysis.
  • Extensive experience with business intelligence tools such as Looker, Grafana, Tableau, Power BI, or similar platforms, including building executive-level dashboards.
  • Strong understanding of financial concepts including P&L structures, accounting principles, IFRS standards, and financial risk metrics such as EAD, LGD, and RWA.
  • Experience defining technical requirements and collaborating with Data Engineering teams on data warehouse and reporting solutions.
  • Strong analytical mindset with the ability to investigate complex datasets, identify trends, and communicate insights clearly.
  • Experience working with financial compliance, audit processes, or regulatory reporting requirements is highly valuable.
  • Preferred experience includes crypto payments, custody reconciliation, AML/transaction monitoring analytics, streaming data technologies such as Kafka or Kinesis, and cloud data platforms such as Spark, Snowflake, or BigQuery.
  • Degree in Finance, Accounting, Mathematics, Computer Science, or a related quantitative field is a plus.
Benefits
  • Fully remote work opportunity within an international and agile team.
  • Competitive compensation package based on experience, skills, and individual contribution.
  • Opportunity to build and shape analytics processes and reporting infrastructure from the ground up.
  • High-impact role supporting mission-critical financial reporting, compliance, and business decision-making.
  • Career growth opportunities across technical, leadership, and cross-functional career paths.
  • Collaborative culture focused on transparency, experimentation, ownership, and measurable impact.
  • Opportunity to work at the intersection of finance, technology, and emerging digital financial solutions.
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.
 
 
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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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