Business Operations Engineer - Data Sciences

Eden Prairie, United States

Arctic Wolf

Arctic Wolf delivers dynamic, 24x7 AI-driven cybersecurity protection tailored to the needs of your organization. Ready to boost your cyber resilience?

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At Arctic Wolf, we're not just navigating the cybersecurity landscape - we're redefining it. Our global team of dedicated Pack members is driving innovation and setting new industry standards every day. Our impact speaks for itself: we've earned recognition on the Forbes Cloud 100, CNBC Disruptor 50, Fortune Future 50, and Fortune Cyber 60 lists, and we recently took home the 2024 CRN Products of the Year award. We’re proud to be named a Leader in the IDC MarketScape for Worldwide Managed Detection and Response Services and earning a Customers' Choice distinction from Gartner Peer Insights. Our Aurora Platform also received CRN’s Products of the Year award in the inaugural Security Operations Platform category. Join a company that’s not only leading, but also shaping, the future of security operations. 

Position Overview and Objective

The Business Operations Engineer - Data Sciences, compiles and mines performance data to drive opportunities and improvements in the service, driving weekly/monthly/quarterly reports and presentations.

Key Responsibilities: 

  • Data Analysis: Utilize advanced data analysis to analyze business data, uncover insights, and forecast business outcomes. 

  • Process Optimization: Work with other members of the Business Operations team to identify areas for process improvement and design automated solutions that drive efficiency and reduce costs. 

  • Visualization: Create automated dashboards and reports that provide actionable insights to business leaders, helping them make informed decisions. 

  • Reporting: Develop, design, and deliver accurate and insightful data reports and dashboards to support business decision-making and performance tracking. 

  • Collaboration: Collaborate with other Business Operations Engineers to design solutions for other business organizations. 

  • Data Integration: Integrate data from multiple sources (both internal and external business systems) to provide a unified view of operations and performance metrics. 

  • Performance Monitoring: Track and measure the performance of business operations and ensure the effectiveness of implemented solutions. 

  • Predictive Analytics: Develop predictive models that help forecast business trends, customer behavior, and other key metrics to guide strategic decisions. 

  • Continuous Improvement: Constantly assess and enhance existing models and processes, identifying new opportunities for efficiency improvements and innovations. 

 

Required Skills and Qualifications: 

  • Bachelor’s degree in Data Science, Computer Science, Engineering, Business, or two years of relevant work experience in a similar role or field in lieu of degree ​

  • Experience in programming languages such as Python, R, SQL, and experience with data science libraries (e.g., Pandas, NumPy, scikit-learn). 

  • Solid understanding of data analytics and statistical modeling techniques. 

  • Experience in business operations or management consulting, with the ability to translate business problems into technical solutions. 

  • Proven track record of working with large datasets and developing data-driven solutions to optimize business processes. 

  • Familiarity with business intelligence tools (e.g., Tableau, Power BI, Looker) and reporting/dashboarding. 

  • Excellent communication skills, with the ability to convey complex data insights to non-technical stakeholders. 

  • Strong problem-solving skills, with an ability to think critically and creatively in a fast-paced environment. 

  • Experience with cloud platforms (AWS, Azure, GCP) and data storage solutions (e.g., Redshift, BigQuery, Hadoop) is a plus. 

 

Preferred Qualifications: 

  • Knowledge of business processes in areas such as supply chain, finance, sales, or operations. 

  • Experience with process automation tools and techniques (e.g., Robotic Process Automation). 

  • ​​​Understanding of Agile project management methodologies. 

  • Experience working with cross-functional teams in a dynamic, fast-paced environment. 

  • Knowledge of Jira

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 (2021-2024), Best Places to Work – USA (2021-2024), Great Place to Work – Canada (2021-2024), Great Place to Work – UK (2024), and Kununu Top Company – Germany (2024). Our commitment to bold growth and shaping the future of security operations is matched by our dedication to customer satisfaction, with over 7,000 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.  

All wolves receive compelling compensation and benefits packages, including:  

  • Equity for all employees 

  • Flexible time off and paid volunteer days 

  • RRSP and 401k match 

  • Training and career development programs 

  • Comprehensive private benefits plan including medical, mental health, dental, disability, life and AD&D, and value-added services 

  • Robust Employee Assistance Program (EAP) with mental health services 

  • Fertility support and paid parental leave 

Arctic Wolf is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, 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 recruiting@arcticwolf.com.  

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 authorization to receive software or technology controlled under these U.S. export control laws and regulations. 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Agile AWS Azure BigQuery Business Intelligence Computer Science Consulting Data analysis Data Analytics Engineering Finance GCP Hadoop Jira Looker NumPy Pandas Power BI Python R Redshift Robotics RPA Scikit-learn Security SQL Statistical modeling Statistics Tableau

Perks/benefits: 401(k) matching Career development Equity / stock options Fertility benefits Flex hours Flex vacation Health care Medical leave Parental leave

Region: North America
Country: United States

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