Sr. Data Solution Analyst - AI Ready Data

Core Responsibilities

• Serves as a subject matter expert (SME) of data sets for a given industry, data storage systems, and the operational processes being supported. Maintains awareness of changing business needs to create appropriate project solutions.

• Leads process design efforts to support new offerings, business initiatives, or improvement projects. Performs root cause analyses of complex data errors. Identifies opportunities to eliminate future occurrences, prioritizes initiatives, mitigates risk, leverages technology, and recommends short- and long-term solutions for issues.

• Focuses on improving Data Management's service offer and communicates with stakeholders and management to obtain their input and buy-in as appropriate. Recommends, coordinates, documents, and implements changes that will enhance work-flows and procedures. Integrates new or existing technologies into work-flows and communicates to all team members. Analyzes impacts and prepares environment for change.

• Builds and maintains relationships with internal and external partners to define data requirements, develop project specifications, and execute data projects to ensure that the expected outputs are delivered. Provides validation and approval of project deliverables.

• Identifies solutions independently and with input from internal and external partners, external vendors, and industry contacts to enable best-in-class data management practices, scalability, and cost effectiveness. Leads and consults on new projects to ensure operational readiness upon implementation into the live environment.

• Participates in special projects and performs other duties as assigned.

Qualifications

• Intermediate to advanced technical skills required – SQL, Python, AWS, Tableau

• Expertise in Data Management & Data Quality best practices.

• Strong consultation, data storytelling, and stakeholder management skills

• Strong professional presence and experience presenting recommendations to senior management.

• Strong data analysis and problem-solving skills.

• Skilled and passionate about developing innovative solutions.

• Financial or Investment data background is a plus.

• Minimum of five years of related work experience.

• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

• Nice to have: Collibra, experience working with Metadata, MS Dynamics