Why skillspath?
At skillspath we are redefining the future of sustainable transportation and clean‑energy solutions. As a global leader in electric mobility, energy storage, and intelligent vehicle software, we combine cutting‑edge technology with a relentless commitment to environmental stewardship. Our mission is to accelerate the world’s transition to renewable energy by delivering high‑performance, zero‑emission products that inspire both consumers and industry partners.
Joining skillspath means becoming part of a visionary team that values curiosity, collaboration, and continuous learning. Whether you are a seasoned data professional or an emerging talent, you will have the opportunity to shape data‑driven strategies that directly influence product development, manufacturing efficiency, and customer experience across a rapidly expanding global footprint.
Position Overview
We are seeking a highly motivated Remote Data Analyst & Insight Engineer to join our New Product Introduction (NPI) analytics squad. In this role you will design, build, and maintain robust data pipelines, analytical tools, and interactive dashboards that empower engineers, supply‑chain managers, and senior leadership to make faster, more informed decisions. Your work will directly impact the efficiency of our manufacturing processes, the quality of our next‑generation vehicles, and the overall performance of skillspath’s product portfolio.
This is a full‑time, 100 % remote position based in the United States (candidates must be eligible to work in the U.S.). The role offers a competitive hourly rate of $24 USD, with additional performance‑based incentives and a comprehensive benefits package.
Key Responsibilities
- Data Pipeline Development: Build scalable, automated ETL/ELT pipelines using Python, SQL, and modern data‑orchestration tools to ingest, cleanse, and transform high‑volume manufacturing and product data from multiple sources.
- Advanced Analytics & Modeling: Design and implement statistical models, machine‑learning algorithms, and simulation studies (e.g., AnyLogic, FlexSim) to predict production bottlenecks, quality issues, and cost‑optimization opportunities.
- Dashboard & Visualization Creation: Develop interactive, real‑time dashboards in Power BI, Tableau, or custom D3.js visualizations that surface key performance indicators (KPIs) for cross‑functional teams.
- Cross‑Functional Collaboration: Partner closely with design, manufacturing, supplier, and IT teams to translate business questions into analytical solutions and to ensure data integrity across the product lifecycle.
- Process Automation: Identify repetitive manual tasks and automate them through scripting, API integration, or low‑code platforms, reducing cycle time and error rates.
- Data Governance & Quality Assurance: Establish data validation rules, monitor data quality metrics, and document data lineage to maintain trustworthy data assets.
- Thought Leadership: Provide expert guidance on data‑driven decision making, mentor junior analysts, and champion best practices in data engineering and analytics across skillspath.
- Innovation & Continuous Improvement: Stay current with emerging technologies (e.g., cloud data warehouses, AI/ML frameworks) and propose new tools or methodologies that can accelerate skillspath’s data capabilities.
- Reporting & Communication: Synthesize complex analytical findings into clear, actionable insights and present them to both technical and non‑technical stakeholders.
Essential Qualifications
- Education: Bachelor’s degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Electrical Engineering, or a related field. Advanced degrees are a plus.
- Technical Proficiency: Strong command of SQL and relational database concepts; hands‑on experience with Python (pandas, NumPy, scikit‑learn) or R for data analysis.
- Data Visualization Skills: Proven ability to create compelling visual stories using Power BI, Tableau, or JavaScript libraries (e.g., D3.js).
- Statistical & Modeling Knowledge: Experience building predictive models, simulation tools, or optimization algorithms.
- Communication: Excellent written and verbal communication skills; ability to translate technical results into business value.
- Problem‑Solving Mindset: Demonstrated curiosity and resilience when tackling ambiguous, high‑impact problems in a fast‑moving environment.
- Collaboration: Comfortable working remotely with distributed teams across multiple time zones, while maintaining strong relationships and clear accountability.
Preferred Qualifications & Experience
- 3+ years of professional experience in data engineering, analytics, or a related field within a manufacturing, automotive, or high‑tech environment.
- Familiarity with cloud platforms (AWS, Azure, GCP) and services such as Redshift, BigQuery, or Snowflake.
- Experience with containerization (Docker) and workflow orchestration tools (Airflow, Prefect, Dagster).
- Knowledge of manufacturing data standards (EBOM, MBOM, PLM) and supply‑chain analytics.
- Exposure to machine‑learning frameworks (TensorFlow, PyTorch) and deep‑learning concepts.
- Prior involvement in building self‑service analytics platforms for engineers and product teams.
- Certification in data‑related technologies (e.g., Google Data Engineer, AWS Certified Data Analytics).
Core Skills & Competencies
- Analytical Rigor: Ability to dissect large, complex datasets, identify patterns, and draw evidence‑based conclusions.
- Programming Discipline: Write clean, maintainable, and well‑documented code that can be easily shared and extended.
- Automation Focus: Proactively seek opportunities to streamline data workflows and reduce manual effort.
- Business Acumen: Understand the end‑to‑end product development lifecycle and how data insights drive cost, quality, and speed improvements.
- Adaptability: Thrive in an environment where requirements evolve quickly and data may be incomplete or noisy.
- Leadership Potential: Mentor junior team members, lead small project initiatives, and influence cross‑functional decision making.
Career Growth & Learning Opportunities
skillspath is committed to the professional development of its people. As a Remote Data Analyst & Insight Engineer you will have access to:
- Mentorship programs with senior data scientists and engineering leaders.
- Tuition reimbursement for advanced degrees, certifications, or specialized courses.
- Internal hackathons and innovation challenges that encourage creative problem solving.
- Opportunities to transition into senior analytics, data‑science, or data‑architecture roles as you demonstrate impact.
- Cross‑departmental rotations that broaden exposure to product design, supply‑chain optimization, and customer experience analytics.
Work Environment & Culture at skillspath
Our remote workforce is built on trust, autonomy, and a shared purpose. Key cultural pillars include:
- Purpose‑Driven Innovation: Every data project is tied to a tangible outcome—whether it’s reducing vehicle assembly time, improving battery efficiency, or enhancing the driver experience.
- Inclusive Collaboration: Diverse perspectives are celebrated. We foster an environment where every voice can contribute to breakthrough ideas.
- Flexibility & Work‑Life Balance: While we operate at a fast pace, we respect personal time and provide flexible scheduling to accommodate different lifestyles.
- Continuous Feedback: Regular one‑on‑ones, peer reviews, and performance check‑ins ensure you receive actionable feedback and recognition.
- Health & Well‑Being: Comprehensive mental‑health resources, virtual fitness classes, and wellness stipends support a healthy remote lifestyle.
Compensation, Perks & Benefits (General Overview)
- Competitive hourly wage of $24 USD plus performance bonuses.
- Full health, dental, and vision insurance with employer contributions.
- 401(k) retirement plan with company match.
- Generous paid time off (vacation, sick leave, and holidays) and additional floating holidays.
- Remote‑work stipend for home‑office equipment, high‑speed internet, and ergonomic accessories.
- Professional development budget for conferences, certifications, and online learning platforms.
- Employee assistance program (EAP) and access to mental‑health counseling.
- Company‑wide recognition programs and quarterly awards for outstanding contributions.
How to Apply
If you are passionate about turning raw data into strategic advantage, love solving complex problems, and thrive in a collaborative, remote‑first environment, we want to hear from you. Submit your resume, a brief cover letter highlighting relevant projects, and any portfolio links that showcase your analytical work.
Take the next step in your career and help skillspath drive the future of sustainable mobility. Apply today and become a catalyst for change!
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