Senior Business Operations Engineer - Data Analytics (all genders)

Arctic Wolf
Frankfurt am Main, Germany
27 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
€56,000 - €113,000
Working hours
Regular working hours
Languages
German
Job source

Tech stack

Amazon Web Services Data Analysis Microsoft Azure Cyber Security Data Infrastructure Data Presentation Data Visualization Python (Programming Language) Machine Learning Operational Data Store SQL Databases Tableau (Software)
+8 more
Google Cloud Git Information Technology Data Analytics Data Management Machine Learning Operations Software Version Control Data Pipelines

Job description

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., 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., Arctic Wolf recognizes that success comes from delighting our customers, so we work together to ensure that happens every day. We believe in diversity and inclusion, and truly value the unique qualities and unique perspectives all employees bring to the organization. And we appreciate that-by protecting people’s and organizations’ sensitive data and seeking to end cyber risk- we get to work in an industry that is fundamental to the greater good.

We celebrate unique perspectives by creating a platform for all voices to be heard through our Pack Unity program. We encourage all employees to join or create a new alliance. See more about our Pack Unity here.

We also believe and practice corporate responsibility, and have recently joined the Pledge 1% Movement, ensuring that we continue to give back to our community. We know that through our mission to End Cyber Risk we will continue to engage and give back to our communities.

Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, colour, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law. Arctic Wolf is committed to fostering a welcoming, accessible, respectful, and inclusive environment ensuring equal access and participation for people with disabilities. As such, we strive to make our entire employee experience as accessible as possible and provide accommodations as required for candidates and employees with disabilities and/or other specific needs where possible. Please let us know if you require any accommodations by emailing EMEA.recruitment@arcticwolf.com

All wolves receive compelling compensation and benefits packages, including:

  • Equity for all employees
  • 30 days annual leave, bank holidays, and paid volunteering days off
  • Pension plan: BaV Direktversicherung
  • Training and career development programs
  • Robust Employee Assistance Program (EAP) with mental health service
  • Family-forming benefits

Security Requirements

Conducts duties and responsibilities in accordance with AWN’s Information Security policies, standards, processes and controls to protect the confidentiality, integrity and availability of AWN business information (in accordance with our employee handbook and corporate policies).

Background checks are required for this position.

Requirements

  • Bachelor’s or Master’s degree in Data Analytics, Business Analytics, Computer Science, Statistics, or a related field
  • Deep experience in data analytics, business operations, or analytics roles with a track record of strategic impact
  • Proficiency in Python, SQL, and data visualization tools such as Tableau
  • Strong understanding of machine learning, statistical modeling, and machine learning operations (MLOps) practices
  • Strong communication skills and the ability to influence senior stakeholders and cross-functional teams
  • Experience with cloud platforms such as Amazon Web Services (AWS), Azure, or Google Cloud Platform (GCP), and with version control systems such as Git
  • Business-level German skills, both written and spoken

Benefits & conditions

The base salary range for this job family is 56,000 to 113,000 EUR annually. This range reflects the base pay the company reasonably expects to offer for this position, aligned to the broader job family base pay structure. Actual base pay may vary based on skills, experience, and location, including job family level. In addition to base pay, Arctic Wolf offers variable incentive compensation, new hire equity grants, and a comprehensive benefits package.

About the company

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., 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.

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