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Generalist data title, mid-level experience, metro locations, and broad technical requirements increase competition.
Requires financial services knowledge and domain data understanding, reducing cross-industry transferability.
Mandatory 4+ years, strong SQL and visualization skills, plus Snowflake and tooling requirements increase filter strictness.
Consult with business stakeholders to identify and deliver advanced analytics solutions that address business challenges and opportunities.
Develop and automate efficient, simple data and analytics processes in an Agile, multi-disciplinary team environment.
Create and communicate insightful data visualizations and analytics updates that translate technical outputs into business value.
Minimum 4 years of relevant work experience in data analytics within financial services or related domain.
Strong proficiency in SQL coding, preferably with Snowflake/AWS platforms.
Experience with visualization tools such as Tableau, PowerBI, or QuickSuite.
Work Experience Required: Minimum 4 years.
Experienced in working within Agile data and analytics teams, coordinating cross-functional resources to deliver projects and scrum outcomes.
Strong domain knowledge of data resources, data architecture, and dependencies in financial services.
Able to translate complex data and analytics insights into clear, actionable business communication and visualization for diverse stakeholders.