Analytics Consultant - Predictive/ML/AI

In this role, you will:

- As a part of the Customer Remediation Analytics team within the Customer Remediation Center of Excellence specifically focused on Exploratory Analytics, this Analytic Consultant will be responsible for:

- Understand business objectives and provide credible challenge to analysis requirements.

- Verify sound analysis practices and data decisions were leveraged throughout planning and data sourcing phases.

- Conduct in-depth research within complex data environments to identify data integrity issues and propose solutions to improve analysis accuracy.

- Applying critical evaluation to challenge assumptions, formulate a defendable hypothesis, and ensuring high quality analysis results.

- Ensure adherence to data management/data governance regulations and policies.

- Performing and testing highly complex data analytics for customer remediation

- Designing analysis projects flow and documentation that is structured for consistency, easy to understand, and to be offered to multiple levels of reviewers, partners, and regulatory agents demonstrating research and analysis completed

- Investigate and ensure data integrity from multiple sources

- Ensure data recommended and used is the best "source of truth"

- Applies knowledge of business, customers, and products to synthesize data to 'form a story' and align information to contrast/compare to industry perspective. Data involved typically very large, structured or unstructured, and from multiple sources.

- Must have a strong attention to detail and be able to meet high quality standards consistently

- Other duties as assigned by manager

- Willing to assist on high priority work outside of regular business hours or weekend as needed

Required Qualifications:

- Around 4+ years in similar analytics roles

- 4+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

- Bachelors, M.A/M.Sc. College Degree or Higher in applied mathematics, statistics, engineering, physics, accounting, finance, economics, econometrics, computer sciences, or business/social and behavioral sciences with a quantitative emphasis.

- 3+ years of programming in SAS and SQL.

- Strong experience with data integration, database structures and data warehouses.

- Persuasive written and verbal communication skills.