Job Title: Senior Data Analyst
Department: Data & Analytics / Business Intelligence
Reports To: Head of Digital Transformation / Director of Analytics
Location: [Insert location or “Hybrid – based in [city/country]”]
Employment Type: Full-time
Job Summary
As a Senior Data Analyst at Norconsult Telematics, you will play a key role in turning complex project, operational, and financial data into actionable insights that support strategic decision-making across engineering, telecom, and digital transformation initiatives.
You will work closely with project managers, engineers, and senior stakeholders to optimize performance, monitor KPIs, and enhance the company’s data-driven culture. Your work will directly influence how Norconsult Telematics designs, manages, and delivers world-class consulting and technology services to clients worldwide.
Key Responsibilities
1. Data Analysis & Insights
- Collect, clean, and validate large datasets from project management systems, ERP tools, and client platforms.
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Conduct analytical studies to identify performance trends, resource utilization, and profitability across telecom and infrastructure projects.
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Deliver actionable insights that support project delivery optimization, risk mitigation, and client satisfaction.
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Develop and maintain automated dashboards and executive reports using Power BI or Tableau, integrated with Norconsult’s data ecosystem.
2. Business Intelligence & Strategic Support
- Partner with business units (Engineering, Project Delivery, Finance, ICT) to translate analytical findings into strategic recommendations.
- Design and track performance metrics for digital transformation initiatives, telecom projects, and sustainability objectives.
- Provide quantitative support for bids, proposals, and client reporting through evidence-based insights.
- Support the design and evaluation of performance frameworks, predictive KPIs, and scenario modeling for project outcomes.
3. Data Infrastructure & Governance
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- Collaborate with IT and Data Engineering teams to improve the quality and accessibility of enterprise data.
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- Ensure data consistency, compliance, and governance in alignment with Norconsult’s standards and ISO-certified frameworks.
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- Contribute to the development of a unified data warehouse and metadata documentation.
4. Advanced Analytics & Automation
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- Use SQL, Python, or R to perform complex statistical analyses and automate recurring reporting tasks.
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- Develop predictive models (e.g., cost forecasting, project duration prediction, risk assessment).
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- Introduce automation and machine learning techniques to enhance project management analytics.
Qualifications
Required:
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- Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.
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- 5+ years of experience in a data analytics or business intelligence role, ideally within consulting, engineering, or telecom industries.
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- Advanced skills in SQL, Power BI, and at least one analytics programming language (Python or R).
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- Strong understanding of data modeling, ETL processes, and enterprise data architecture.
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- Proven ability to translate complex data into clear business narratives for senior management.
Preferred:
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- Master’s degree in Data Analytics, Business Intelligence, or Engineering Management.
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- Experience with ERP systems (e.g., Oracle, SAP) and project management tools (e.g., Primavera, MS Project).
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- Familiarity with cloud data platforms (Azure, Snowflake, or BigQuery).
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- Exposure to telecommunications or infrastructure projects and understanding of KPI frameworks for large-scale project delivery.
Core Competencies
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- Analytical & Critical Thinking
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- Business & Technical Communication
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- Data Visualization & Storytelling
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- Project and Financial Insight Development
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- Cross-Functional Collaboration
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- Process Automation & Continuous Improvement
Performance Indicators
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- Accuracy, clarity, and impact of analytical deliverables.
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- Improved decision-making efficiency across departments.
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- Successful integration of analytics into project management workflows.
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- Contribution to digital transformation initiatives and operational excellence.