WithSecure
Senior Data Analyst – AI-Enabled Insights
WithSecureFinland1 day ago
Full-timeInformation Technology
At WithSecure™, we protect businesses all over the world. Our SaaS solutions safeguard against modern cyber threats, and our innovative Co-security approach reflects our belief that true protection requires collaboration and shared expertise. No one can solve every cyber security problem alone. Our vision is to become Europe’s flagship in cyber security. Every day, our talented teams work to prevent cyber extortion, secure critical infrastructure, and prevent misuse of sensitive data. At WithSecure, it’s our people who make us exceptional – a diverse community that values passion, purpose, and a commitment to workplace well-being. If you’re ready to make an impact with a company that’s transforming cybersecurity, we’d love to hear from you.

Role Overview

We are seeking a data analyst with a strong AI-native mindset to transform raw data into actionable insights that drive strategic decisions and operational excellence. This role blends analytical rigor with modern tooling, enabling the analyst to support AI-enabled services, automation, and decision intelligence across the enterprise.

Key Responsibilities

  • Insight Generation: Analyze structured and unstructured data to uncover trends, patterns, and opportunities that inform business strategy and AI use cases.
  • AI-Ready Analytics: Prepare and curate datasets for Generative AI and predictive modeling, ensuring quality, relevance, and compliance.
  • Visualization & Storytelling: Build compelling dashboards and reports using tools like Power BI and Databricks to communicate insights effectively to stakeholders.
  • Collaboration: Work closely with data engineers, product owners, and business teams to translate analytical findings into operational improvements.
  • Governance & Quality: Apply data governance principles to ensure accuracy, lineage, and trust in analytical outputs.
  • Continuous Improvement: Monitor performance of analytics solutions and iterate based on feedback and evolving business needs.

Required Skills & Experience

  • Proven experience in data analysis, business intelligence, or analytics roles.
  • Proficiency in SQL, Python (Pandas, NumPy), and data visualization tools.
  • Familiarity with Databricks, AWS (Athena, S3, Glue), and cloud-native analytics workflows.
  • Understanding of Generative AI data preparation and prompt engineering basics.
  • Business acumen: ability to link data insights to business outcomes.
  • Consultative mindset: skilled in stakeholder engagement and translating needs into analytical solutions.

Preferred Qualifications

  • Experience supporting AI/ML initiatives through data readiness and insight generation.
  • Proven track record supporting business with business analytics
  • Exposure to agentic workflows and AI-native service design.
  • Familiarity with multi-cloud environments and data democratization strategies.

Key Skills

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