Senior Business Operations Engineer – Data Analytics
Speichern Sie diesen Job und halten Sie Ihre Suche organisiert
Erstellen Sie ein kostenloses Konto, um Jobs zu speichern, Benachrichtigungen zu erstellen und von Ihrem Dashboard aus zu diesem Eintrag zurückzukehren.
Wenn Sie fortfahren, akzeptieren Sie unsere Nutzungsbedingungen & Datenschutzerklärung.
Senior Business Operations Engineer – Data Analytics (all genders)
Our Mission: To End Cyber Risk
Arctic Wolf is a cybersecurity and AI company on a mission to turn cyber risk into business resilience. Powered by the Aurora® Superintelligence Platform, we combine AI-driven automation with real-world expertise to deliver security operations that actually work.
Cyber risk is now the number one business risk and AI is accelerating the challenge. Attackers are moving faster and traditional approaches are not keeping up.
We take a different approach. Our AI-native platform and Agentic SOC operate at machine speed, helping organizations move to an operations-led security model with faster time to value and measurable risk reduction.
Arctic Wolf is not just participating in the evolution of security, we are helping define what comes next.
Job Summary
We're looking for an experienced, strategic Senior Business Operations Specialist - Data Analytics (m/f/d) to lead data-driven initiatives that shape the future of our Security Services organization. This individual contributor role suits a technically strong, business-savvy person who enjoys solving complex problems and influencing senior stakeholders. You'll partner with leadership and turn data into strategy and innovation.
Key Responsibilities
Strategic Data Leadership
Lead high-impact analytical projects that inform business strategy and operational decisions.Deliver executive-level insights through data storytelling, dashboards, and presentations.Translate ambiguous business challenges into structured analytical approaches.Advanced Modeling and Analytics
Design, build, and deploy predictive models and statistical analyses that support strategic initiatives.Maintain and optimize machine learning pipelines and ensure model performance in production.Collaborate with engineering and product teams to integrate models into business workflows.Design, build, and deploy data pipelines that collect, curate, and manage operational data from internal product, project, and case management tools.Stakeholder Engagement and Influence
Advise senior leadership and provide data-backed recommendations on key initiatives.Partner with internal stakeholders across departments to align analytics with business priorities.Represent the Data Analytics function in leadership meetings, planning sessions, and cross-functional forums.Data Infrastructure and Automation
Ensure data quality through thorough validation, cleaning, and governance practices.Develop automated workflows and reproducible analytics that support scalable decision-making.Promote best practices in data management, documentation, and compliance.Innovation and Emerging Technologies
Identify opportunities to embed artificial intelligence (AI) and machine learning in core business processes.Lead proof-of-concept initiatives to evaluate and implement emerging technologies.Stay current with industry trends and bring forward new ideas that improve our operations.Qualifications
Bachelor's or Master's degree in Data Analytics, Business Analytics, Computer Science, Statistics, or a related fieldDeep experience in data analytics, business operations, or analytics roles with a track record of strategic impactProficiency in Python, SQL, and data visualization tools such as TableauStrong understanding of machine learning, statistical modeling, and machine learning operations (MLOps) practicesStrong communication skills and the ability to influence senior stakeholders and cross-functional teamsExperience with cloud platforms such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP), and with version control systems such as GitBusiness-level German skills, both written and spoken
About Arctic Wolf
At Arctic Wolf, we foster a collaborative and inclusive work environment that thrives on diversity of thought, background, and culture. This is reflected in our multiple awards, including Top Workplace USA (2021-2025), Best Places to Work – USA (2021-2025), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024-2026), and Kununu Top Company – Germany (2024-2026). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 10,000 customers worldwide and more than 2,000 channel partners globally. As we continue to expand globally and enhance our technology, Arctic Wolf remains the most trusted name in the industry.
Our Values
Arctic Wolf recognizes that success comes from delighting our customers