Remote Big Data Analyst – Data Integration & Machine Learning Support – Entry‑Level Opportunity at careerzynith (Work‑From‑Home)

Why careerzynith?

At careerzynith we are on a mission to connect people to what matters most in their lives through friendly, reliable, and affordable air travel. As a leading player in the aviation industry, careerzynith combines cutting‑edge technology with a people‑first culture. Whether you’re soaring above the clouds or working from the comfort of your home office, you’ll be part of a dynamic team that values creativity, innovation, and continuous learning.

Our commitment to diversity, equity, and inclusion means we actively seek talent from all backgrounds. We believe that a variety of perspectives fuels better decisions, stronger products, and a richer workplace experience. If you’re ready to grow your career while contributing to a company that truly cares about its employees and customers, read on.

Role Overview

The Remote Big Data Analyst role at careerzynith is a pivotal, mid‑level internal consulting position. You will partner with Data Science, Machine Learning, and Artificial Intelligence teams across the organization to drive end‑to‑end data lifecycle management. Your work will enable the seamless deployment, monitoring, and maintenance of data models, ensuring high‑quality, reliable data pipelines that power critical business decisions.

This is a remote‑first position, allowing you to work from anywhere in the United States while collaborating with cross‑functional teams through virtual meetings, collaborative platforms, and regular check‑ins.

Key Responsibilities

• Design, build, and maintain robust data integration pipelines that consolidate information from disparate sources for consumption by data scientists, analysts, and business users.
• Champion best‑in‑class data integration practices and tools, enabling large‑scale data sets to support descriptive, diagnostic, predictive, and prescriptive analytics.
• Collaborate with product owners and technical leads across multiple concurrent projects to translate business requirements into technical data solutions.
• Develop and document data assets and visualizations, ensuring ongoing performance and reliability in self‑service environments.
• Act as a subject‑matter expert for data assets, providing guidance on data quality, lineage, and governance to internal stakeholders.
• Support the continuous improvement of careerzynith’s data platform ecosystem, recommending enhancements that increase efficiency and scalability.
• Participate in code reviews, peer mentoring, and knowledge‑sharing sessions to elevate the overall skill set of the data engineering community.
• Perform ad‑hoc analysis and troubleshooting to resolve data anomalies, drift, or performance bottlenecks.
• Assist leadership with strategic planning, offering insights on data trends, technology adoption, and risk mitigation.
• Undertake additional duties as assigned by managers to support broader organizational objectives.

Essential Qualifications

• Education: Bachelor’s degree in Mathematics, Computer Science, Data Science, Information Technology, or a closely related field. Equivalent professional experience may be considered.
• Technical Knowledge: Solid understanding of both inductive and deductive reasoning, problem‑solving methodologies, and statistical analysis techniques.
• Data Engineering Skills: Experience extracting and ingesting data from relational (SQL) and non‑SQL databases; proficiency in building, storing, and processing large volumes of data for analysis and modeling.
• Programming Proficiency: Competence in at least one data‑focused programming language (e.g., Python, Scala, Java) and familiarity with open‑source tools.
• Tool Expertise: Hands‑on experience with data integration platforms (e.g., Alteryx, Talend) and business intelligence tools (e.g., Tableau, Power BI).
• Communication Skills: Ability to articulate complex technical concepts to both technical and non‑technical audiences with clear, concise written and verbal communication.
• Adaptability: Demonstrated flexibility to adjust to changing priorities, technologies, and project scopes while maintaining high quality standards.

Preferred Qualifications & Experience

• Advanced degree (M.S. or Ph.D.) in a quantitative discipline or equivalent professional experience.
• Professional experience in data analysis, advanced analytics, data engineering, machine learning, or optimization projects.
• Hands‑on experience with cloud platforms, especially AWS services such as SageMaker, Model Monitor, Redshift, DynamoDB, and Aurora.
• Proficiency with Python, SQL, Alteryx, Tableau, Teradata, Oracle, PostgreSQL, NoSQL databases, Linux, GitLab, CloudWatch, and QuickSight.
• Track record of designing and delivering data visualizations and dashboards that drive actionable insights.
• Experience solving ambiguous, complex problems using structured, analytical approaches.

Core Skills & Competencies

• Data Modeling & Architecture: Ability to design scalable data schemas and understand modern data lake/warehouse architectures.
• Statistical Analysis: Competence in selecting appropriate statistical methods for business problems and interpreting results.
• Automation & Orchestration: Familiarity with workflow orchestration tools (e.g., Airflow, Prefect) to schedule and monitor pipelines.
• Version Control & CI/CD: Experience using Git, GitLab CI, or similar tools to manage code and deploy changes reliably.
• Collaboration: Strong teamwork orientation, comfortable working in cross‑functional, remote environments.
• Continuous Learning: Passion for staying current with emerging data technologies, industry trends, and best practices.

Learning & Development Opportunities

careerzynith invests heavily in employee growth. As a Remote Big Data Analyst, you will have access to:

• Mentorship programs pairing you with senior data engineers and scientists.
• Sponsored certifications (e.g., AWS Certified Data Analytics, Google Cloud Professional Data Engineer).
• Monthly “Tech Talk” webinars covering topics from advanced machine learning to data governance.
• Annual learning stipend to attend conferences, workshops, or online courses.
• Opportunities to lead pilot projects that can shape the future data strategy of careerzynith.

Culture & Work Environment

Our remote‑first culture is built on trust, autonomy, and collaboration. At careerzynith you will experience:

• Flexible work hours that respect work‑life balance and accommodate different time zones.
• A supportive community that celebrates achievements through virtual “shout‑outs,” team‑building activities, and inclusive events.
• Commitment to diversity, equity, and inclusion – we actively seek to reflect the communities we serve.
• Transparent communication from leadership, with regular town‑halls and open Q&A sessions.
• Access to state‑of‑the‑art collaboration tools (Slack, Microsoft Teams, Confluence) to stay connected with peers.

Compensation, Perks & Benefits

While exact compensation will be based on experience and market factors, careerzynith offers a competitive package that includes:

• Base salary aligned with industry standards for remote data engineering roles.
• Performance‑based bonuses tied to project milestones and business outcomes.
• Generous 401(k) match up to 9.3% of eligible compensation, plus potential profit‑sharing contributions.
• Comprehensive health, dental, and vision coverage for you and eligible dependents.
• Paid time off, holidays, and sick leave to ensure you can recharge.
• Free travel privileges on all careerzynith flights for you and eligible family members – experience the product you help improve.
• Wellness programs, including virtual fitness classes, mental‑health resources, and employee assistance services.
• Home office stipend to equip your workspace with ergonomic furniture and technology.

How to Apply

If you are excited about leveraging data to drive meaningful outcomes, thrive in a remote environment, and want to grow with a forward‑thinking airline, we want to hear from you. Submit your resume, a cover letter highlighting your relevant experience, and any portfolio items (e.g., dashboards, code samples) that showcase your expertise.

careerzynith is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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Join careerzynith Today

Take the next step in your data career with a company that values innovation, collaboration, and personal growth. Become part of a team that not only moves people across the country but also moves the industry forward through data‑driven insight. Apply now and help shape the future of travel at careerzynith.