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Remote Applied Data Analytics Jobs in Missouri (NOW HIRING)

Jobgether

$81K - $111K/yr

As a Senior Data & Analytics Engineer, you'll take end-to-end ownership of a modern data platform and business intelligence layer within a fully remote, international environment. You'll help ...

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Remote Applied Data Analytics information

What is remote applied data analytics?

A Remote Applied Data Analytics job involves analyzing data to extract insights and help organizations make data-driven decisions, all while working from a location outside of a traditional office. Professionals in this role use statistical methods, programming, and data visualization tools to interpret complex datasets. They often collaborate with cross-functional teams to solve business problems, optimize processes, and present actionable findings. Remote positions in this field require strong technical skills, good communication, and the ability to work independently using digital collaboration tools.

What are the key skills and qualifications needed to thrive as a remote applied data analytics professional?

To thrive as a Remote Applied Data Analytics professional, you need a strong background in statistics, data analysis, and problem-solving, typically supported by a degree in a quantitative field. Proficiency with data analytics tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, as well as familiarity with data management systems, is essential. Strong communication, self-motivation, and the ability to work independently are key soft skills for succeeding remotely and translating data insights into actionable recommendations. These skills ensure effective analysis, clear communication of findings, and the ability to drive data-informed decisions in a remote work environment.

What are some common challenges faced by professionals in remote applied data analytics roles, and how can they be addressed?

Remote applied data analytics professionals often encounter challenges such as effective communication with cross-functional teams, maintaining data security, and managing time across different time zones. To address these issues, it's important to leverage collaborative tools for clear communication, establish regular check-ins, and follow best practices for data privacy. Additionally, setting structured work hours and proactively aligning with teammates can help ensure smooth project workflows and successful outcomes.

What is the difference between Remote Applied Data Analytics vs Remote Data Analyst?

AspectRemote Applied Data AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; experience with data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, often cross-functionalData-focused tasks, reporting, and data interpretation within organizations
Employer & Industry UsageTech, finance, healthcare, consulting firmsBusiness, marketing, finance, and healthcare sectors

Remote Applied Data Analytics involves applying advanced analytics techniques to solve complex problems, often requiring knowledge of data science tools. Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles require analytical skills, Applied Data Analytics emphasizes modeling and predictive analytics, whereas Data Analysts concentrate on data interpretation and visualization.

What are popular job titles related to Remote Applied Data Analytics jobs in Missouri?

For Remote Applied Data Analytics jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Applied Data Analytics jobs in Missouri look for?

The top searched job categories for Remote Applied Data Analytics jobs in Missouri are:

What cities in Missouri are hiring for Remote Applied Data Analytics jobs?

Cities in Missouri with the most Remote Applied Data Analytics job openings:

Remote Applied Data Analytics jobs near you

Senior Data & Analytics Engineer

Jobgether

Remote

$81K - $111K/yr

Full-time

Posted 7 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 & Analytics Engineer based in Netherlands.

As a Senior Data & Analytics Engineer, you'll take end-to-end ownership of a modern data platform and business intelligence layer within a fully remote, international environment. You'll help transform complex data into scalable, trusted, and actionable insights for both customers and internal teams. The role combines data engineering, analytics engineering, and data product ownership, giving you broad influence across the data ecosystem. You'll modernise existing BI capabilities while building robust pipelines, semantic models, customer-facing analytics, and governance practices. Your work will directly support better decisions and measurable environmental and operational impact in the aviation industry. This is a high-autonomy role for someone who enjoys solving complex problems, improving systems, and connecting technical solutions to real customer value.

Accountabilities:
  • Take end-to-end ownership of the data platform, including Databricks, Microsoft Fabric, scalable pipelines, and lakehouse architecture.
  • Design, build, and operate robust ETL/ELT workflows supporting batch and near-real-time data processing.
  • Establish and maintain data quality, reliability, observability, performance, and architectural standards across the platform.
  • Define data contracts, architecture principles, and modular, scalable approaches while optimising platform costs and workload distribution.
  • Own Power BI semantic models, KPIs, dimensional models, DAX performance, aggregations, and dataset refresh processes.
  • Build and maintain customer-facing dashboards, embedded analytics, and data exports while ensuring consistent and trusted metrics.
  • Enable governed self-service analytics and support secure, scalable multi-tenant data models.
  • Translate customer and business needs into scalable data products, define reporting standards with Product, and identify opportunities to create additional value through data.
  • Implement testing, validation, monitoring, alerting, CI/CD, versioning, and other engineering practices across data pipelines and BI assets.
  • Lead the transition from an existing vendor-built BI solution by reverse-engineering pipelines, logic, and reports, reducing technical debt, and rebuilding toward a clean, product-grade architecture.
  • Proactively identify patterns, anomalies, optimisation opportunities, and new insights that can generate measurable customer and business impact.
Requirements:
  • 5+ years of experience in data engineering or analytics engineering, ideally focused on customer-facing BI products.
  • Proven experience building scalable data platforms and customer-facing analytics in SaaS or product-driven environments.
  • Strong hands-on expertise with Databricks, including Spark/PySpark and Delta Lake.
  • Strong experience with Microsoft Fabric and/or the broader Azure data ecosystem.
  • Advanced Power BI expertise, including data modelling, DAX, performance optimisation, and semantic models.
  • Advanced SQL skills and strong knowledge of dimensional modelling, particularly Kimball methodology.
  • Strong understanding of lakehouse architecture, ETL/ELT design, multi-tenant data models, and embedded analytics.
  • Experience implementing CI/CD for data pipelines and BI assets, as well as version control using tools such as Git.
  • Strong engineering discipline, including writing reusable, modular, maintainable, and testable code.
  • Experience with data quality, monitoring, validation, and testing practices.
  • Knowledge of Azure infrastructure, including IAM and networking, is a plus.
  • Familiarity with data quality frameworks such as Great Expectations is an advantage.
  • Strong ownership and autonomy, with a focus on outcomes rather than simply completing assigned tasks.
  • Product-oriented and impact-driven mindset, with the ability to connect technical data solutions to customer value.
  • Proactive and pragmatic approach, with a preference for simple, effective solutions over unnecessary complexity.
  • Strong communication skills and the ability to make complex technical concepts accessible to both technical and business stakeholders.
  • Minimum English proficiency of C1.
  • Willingness to participate in two annual one-week team events.
Benefits:
  • Fully remote working environment within Europe.
  • Opportunity to take significant ownership of a modern data platform and BI ecosystem.
  • Broad scope combining data engineering, analytics engineering, and data product ownership.
  • Opportunity to work on technology designed to reduce food waste, fuel consumption, costs, and CO emissions in the aviation industry.
  • International and diverse working environment with colleagues across multiple countries.
  • Strong emphasis on continuous learning, collaboration, creativity, and inclusion.
  • Opportunity to build customer-facing analytics and data products with measurable real-world impact.
  • Two annual one-week team events offering opportunities for in-person collaboration.
  • High level of autonomy and flexibility in how you approach technical challenges and deliver outcomes.
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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