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About the Role

We are seeking a skilled Data Analyst to join our Fusion Analytics and Data Engineer Team, focusing on building out presentations and ETL data pipelines to support our automation initiative. You will be helping the team visualize our scorecard and metric presentations aiming to provide insight into various EPO functions within Cyber Fusion. The ideal candidate will bring strong technical capabilities and analytical skill, leveraging their experience in data analytics to support data-driven insights and build sustainable analytics solutions.

Responsibilities

• Design and implement ETL workflows and presentations using Databricks and PowerBI
• Ensure thorough documentation of workflows, procedures and technical configurations for successful knowledge management
• Develop, maintain, and enhance dashboards, reports, scorecards, and analytical views that support enterprise business and operational priorities.
• Analyze data from multiple sources to identify trends, patterns, anomalies, and opportunities for process or performance improvement.
• Partner with stakeholders to understand business questions, define metrics, gather requirements, and translate analytical findings into clear recommendations.
• Use tools such as SQL, Excel, Power BI, Python, or enterprise data platforms to extract, transform, validate, and visualize data.
• Document data definitions, assumptions, analytical logic, reporting workflows, and procedures to support consistency, transparency, and knowledge sharing

Requirements

• Bachelor or above degree in Computer Science or related field.
• 3+ years strong experience working as a data analyst, security data analyst, security engineer or on a SOC team.
• In-depth understanding of Agile/Scrum values and principles; rich experience of working at high-efficient Scrum cross-functional team of software development and delivery.
• Excellent verbal and written communication skills at all stakeholder levels across multiple countries globally.
• Intermediate to advanced hands-on experience with Python, SQL and Databricks.
• Previous experience in analytics, quickly generating insights from various security data sources.
• Open minded, fast learner, self-motivated, result driven, detail oriented, candid attitude, team player, high commitment spirit.
• Motivated by an Agile, fast-paced, global team environment with all-round cultural respects.
• Self-driven and highly motivated to deliver top-tier solutions with cohesive collaborations and teamwork.

Skills

• Databricks
• PowerBI
• SQL
• Excel
• Python
• Data Analytics
• ETL
• Agile
• Scrum

Location

• Primary location specified

Work Type

• Full-time

Experience Level

• 3+ years experience

Education Level

• Bachelor or above degree in Computer Science or related field

Salary/Compensations

• $90,000 - $157,500 Annual

Benefits

• Retirement savings plan (401K) with company match
• Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
• Paid-time off including vacation, sick leave, short term disability, and family care responsibilities
• Access to our Employee Assistance Program
• Incentive compensation including eligibility for annual performance-based awards
• Eligibility for certain tax advantaged savings plans

About the Company

• Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
• We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

Equal Opportunity

• As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.