Senior Data Analytics Engineer Audit - Hybrid

Are you passionate about data analytics and want to use your skills to make a meaningful impact in a global financial company? Our client, a leading Financial Services organization, is seeking a career-minded professional with knowledge and abilities in audit, data analytics, and investments to take on this unique challenge. Our client is a progressive financial organization that uses data to deliver valuable insights into risks, controls, and processes. They also value their employees and allow for a flexible team environment and work-life balance. What are people saying about this company?

• If you are looking for a great job, a stable company, room for growth, and want to be rewarded for hard work, this is a great place to work.
• Good pay, good time off, great management
• It truly is a company that rewards hard-working employees and takes care of their people and community.Title: Senior Data Engineer

Salary: $115,000 – $125,000 +Bonus Location: Hartford County, CT (Hybrid)Key Responsibilities:

• Drive Advanced Analytics in the internal audit department and in the company to solve a range of technical and business questions in support of the department’s objectives
• Lead Design of Data Solutions
• Maintain a comprehensive Center of Excellence library of data sources and source owners.
• Identify Data-Driven Opportunities
• Utilize analytics solutions and related tools to identify and execute data-driven opportunities in support of the audit plan.
• Leverage data mining and business intelligence tools to analyze large datasets, identifying relationships and patterns within the data.
• Collaborate with audit team members and relevant business and functional lines to maintain a strong working knowledge of the business, including its products, systems, data, processes, procedures, and customers.
• Provides Leadership & Mentoring: Work independently and provide data analytics leadership, influencing, guidance, and coaching/mentoring to auditors, fostering a culture of continuous learning and improvement.
• Participate in training, Development materials and delivery of training.Qualifications
• Bachelor’s degree required. A Master’s Degree is a plus. Preferred fields include business, computer science, computer engineering, data science or related areas.
• Professional certifications (such as CIA, CPA, or CISA) are highly valued
• 6+ years in data analytics or auditing/consulting, including 4+ years with descriptive and diagnostic-based analytics and supporting tools and scripting languages (e.g., Tableau, Power BI, Python, SQL, etc.). Broader experience with predictive analytics and native Google and AWS tools is a plus.
• Skills: Excellent influencing, collaboration, and communication skills (both verbal and written) and the ability to work effectively with audit teams, business clients, and IT resources.