Data Analyst

Responsibilities: • Analyze relevant policy and program requirements for data governance and access management, and ensure technical integration of policy requirements, specifically related to attribute-based access controls. • Develops data access methodologies to establish attribute-based access controls, transition from roles-based access controls to attribute based access controls. • Develop and write access control policies in Immuta; proficiency in SQL required. • Design and implement methodologies to track and measure compliance. • Analyze relevant policy and program requirements, including data governance, data licenses, and records management, from the Board of Governors and System business lines and ensure technical integration of policy requirements. • Develop and conduct assessments to assess risks and compliance with enterprise data and analytics policies and standards; make improvement recommendations and implement changes to enable greater effectiveness and efficiency. • Works with project teams to understand the business environment to manage enterprise-wide information/data support systems. • Works on multiple projects/issues/enhancements as part of an Agile Release Team. • Works on complex enterprise-wide projects/issues/enhancements. Skills: • Extensive knowledge and experience in data-driven solutions, analytics, and software development. • Proficiency in SQL; data science, statistics, machine learning, optimization, text mining. • Strong analytical and problem-solving skills with a high level of attention to details. • Strong interpersonal and communication skills, particularly written communication skills. • Self?motivated, with the capability of managing multiple priorities and efficient in proposing solutions. • Data-oriented mindset. • Intellectual agility and interpersonal flexibility. • Strong time-management, planning, and communication skills. • Ability to work with and collaborate across teams and where silos exist. • Skilled and innovative problem solver. Education: • Bachelor’s or Master’s degree in Data Science, Statistics, Business Administration, Computer Science, Information Science, Information Systems or other related field or equivalent work experience. Experience: • Typically has 5+ years of related experience Pay range is $78 - $85 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience. THE PROMISES WE MAKE: At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey. For more information regarding our Privacy Policy, please visit crystalequation.com/privacy.