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Open nowFirst seen 16 hours ago

Data Analyst - Remote

LUZA Group356 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowData Analyst - RemoteLUZA Group · Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

13.4% of postings close within 7 days. Measured by our own scanner across the market. LUZA Group postings stay open a median of 8 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.6%3 days
  3. 13.4%7 days
  4. 21.6%14 days
  5. 36.2%30 days
  6. 59.0%60 days
This job: first seen 16 hours ago

LUZA Group median: 8 days open

The posting

Data Analyst

Location: Hybrid / Remote – All regions considered, including India, provided coverage of North American (NA) and Eastern European (EE) time zones is possible. Work Model: Hybrid / Remote Seniority: 3+ years of professional experience Area: Cost Methods, Tools & Data Solutions (CMTD) – Cost Engineering / Data Engineering Employment Type: Full-Time

ROLE PURPOSE

We are seeking a Data Analyst, preferably with a finance or cost engineering background and hands-on exposure to data engineering, to drive delivery of modern analytics, automation and AI-enabled solutions.

This role will lead cross-functional initiatives spanning cloud data platforms (Snowflake/AWS/Azure), Databricks, Palantir Foundry, and the Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse).

The ideal candidate combines strong project management discipline with technical fluency and an understanding of automotive cost and engineering data.

You will lead end-to-end execution—scope, timeline, dependencies, risks, stakeholder alignment—while working closely with business and ICT partners to deliver scalable, secure, and high-impact data products. Experience with agentic AI development and Microsoft Copilot is strongly preferred.

KEY RESPONSIBILITIES

Project Management

  • Lead end-to-end delivery of data, analytics, automation, and AI initiatives within the CMTD portfolio.
  • Own project planning, execution, scope management, milestones, dependencies, risks, and mitigation strategies.
  • Translate business needs (particularly related to cost engineering) into structured requirements, epics, and user stories; define acceptance criteria and measurable delivery plans.
  • Manage stakeholder alignment across Cost Engineering, Purchasing, ICT, and other Business teams; facilitate decision-making and remove blockers.
  • Provide executive-ready status reporting, dashboards, and clear communication on progress, risks, and decisions.
  • Ensure projects meet compliance/security expectations (data access, retention, auditability, privacy) and enterprise architecture standards.

Data Engineering & Platform Delivery

  • Design and implement modern ETL/ELT data pipelines, curated datasets, and analytics-ready models.
  • Develop and maintain global data engineering solutions across multiple platforms including: Cloud databases / warehouses (Snowflake and/or AWS/Azure-based data services). Databricks (workflows, notebooks, orchestration, transformations). Palantir Foundry (data integration, pipelines, ontology/modeling, operational workflows, Artificial Intelligence Platform (AIP)).
  • Promote best practices: data quality checks, CI/CD awareness, documentation, and operational support readiness.

Analytics, Automation & Power Platform Enablement

  • Drive analytics and business process automation using: RPA (Robotics Process Automation). Power BI (semantic models, dashboards, governance considerations). Power Apps (business and cost-engineering applications). Power Automate (process automation, approvals, integrations). Dataverse (data model design and application integration).
  • Coordinate solution design that balances usability, scalability, and maintainability.

Technical Capability (SQL + Integration)

  • Use SQL to support discovery, validation, reconciliation, and issue triage with business and ICT teams.
  • Oversee integrations between enterprise systems, ensuring reliability, performance, and compliance.

AI Enablement (Preferred)

  • Identify and lead opportunities to leverage AI to improve productivity and decision-making (knowledge retrieval, summarization, coding assistance, process automation).
  • Preferred experience with agentic AI chatbot development, including internal assistants for cost, finance, or operational knowledge retrieval.
  • Support responsible AI adoption through documentation, governance, and user enablement.

REQUIREMENTS

  • Bachelor's degree in Computer Science (or a related technical field).
  • 3+ years of professional experience in technical project delivery, data engineering, or analytics platform implementation.
  • Demonstrated project management skills: planning, execution, stakeholder management, risk management, and delivery governance.
  • Finance or costing background, with understanding of cost drivers, financial models, or cost engineering processes.
  • Data engineering exposure: pipelines, transformations, data modeling concepts, and working with data engineering teams.
  • Hands-on development and experience with one or more of the following: Snowflake, AWS, or Azure. Databricks. Palantir Foundry. SQL. Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse).
  • Experience with enterprise governance for analytics platforms.
  • English Mandatory.

NICE TO HAVE

  • Automotive industry experience, particularly in cost engineering, manufacturing, or product development.
  • Knowledge of AI concepts, capabilities and adoption strategies.
  • Experience with agentic AI development or internal AI assistants.
  • Familiarity with Agile delivery (Scrum/Kanban), DevOps concepts, and structured release management.
  • Experience with Microsoft Copilot.

SOFT SKILLS

  • Strong communication skills: ability to explain technical details to non-technical stakeholders and align decisions quickly.
  • Excellent English communication skills (written and verbal).
  • Highly organized with strong attention to detail; effective at managing ambiguity and changing priorities.
  • Ability to influence across teams without direct authority; strong facilitation and conflict resolution skills.
  • Analytical mindset with comfort interpreting data issues (reconciliation, validation, root cause analysis).
  • Customer-focused approach: understands end-user workflow pain points and drives practical, adoptable solutions.
  • Passion for digital transformation, automation, and AI-driven solutions.
  • Strong documentation, training, and presentation capabilities.

BENEFITS

Important:

  • Our company does not sponsor work visas or residence permits for employment purposes. All candidates must have the legal right to work in the country where the position is based.
  • Only candidates who meet the requirements and match our clients' desired profile will be contacted.

#VisionaryFuture – Build the future, join our living ecosystem!

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