Senior Business Operations Engineer – Data Analytics (all genders)

Posted 2 Days Ago
Be an Early Applicant
Frankfurt am Main, Hessen, DEU
In-Office
56K-113K Annually
Senior level
Security • Software • Cybersecurity
The Role
Leads strategic data analytics initiatives for Security Services, delivering executive insights, predictive models, machine learning pipelines, data pipelines, dashboards, and automated workflows. Partners with engineering, product, and senior leadership to translate complex business challenges into data-driven strategies, improve data governance, and implement AI and emerging technologies.
Summary Generated by Built In
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 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

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, 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 [email protected] 


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.  

This position may require access to information protected under U.S. export control laws and regulations, including the Export Administration Regulations (“EAR”).  Please note that, if applicable, an offer for employment will be conditioned on authorisation to receive software or technology controlled under these U.S. export control laws and regulations. 


Ready for your next challenge? We look forward to receiving your CV and supporting documents.


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.

Skills Required

  • 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 MLOps practices
  • Strong communication skills and ability to influence senior stakeholders and cross-functional teams
  • Experience with cloud platforms such as AWS, Azure, or GCP, and version control systems such as Git
  • Business-level German skills, written and spoken

Arctic Wolf Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Arctic Wolf and has not been reviewed or approved by Arctic Wolf.

  • Strong & Reliable Incentives — Incentive plans in sales roles are seen as strong when targets are met, with on‑target earnings positioned as competitive. This dynamic helps explain notably higher satisfaction in sales relative to other functions.
  • Equity Value & Accessibility — Equity is included for all employees across offers, broadening ownership beyond limited groups. Broad access to equity can provide meaningful upside tied to company performance.
  • Leave & Time Off Breadth — Flexible paid time off and dedicated volunteer time off are core parts of the package. These options expand avenues for time away beyond standard vacation and holidays.

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The Company
HQ: Eden Prairie, CA
810 Employees
Year Founded: 2012

What We Do

The cybersecurity industry has an effectiveness problem. Every year new technologies, vendors, and solutions emerge, and yet despite this constant innovation we continue to see high profile breaches in the headlines. All organizations know they need better security, but the dizzying array of options leave resource-constrained IT and security leaders wondering how to proceed. At Arctic Wolf, our mission is to End Cyber Risk through effective security operations. To achieve this, we believe that organizations must do three key things:

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