Back
Tier-1 brand, remote role, common Data Analyst title and mid-level experience increases candidate competition.
Core SQL, BI and analytics skills are transferable across industries, though finance experience adds specificity.
Explicit 2–4 year requirement plus strong SQL and finance-domain expectations increases shortlisting rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Support data and reporting initiatives to deliver trusted insights that drive business outcomes across the organization.
Translate business requirements into data-driven solutions covering governance, quality, analytics, and reporting.
Contribute to solution design, testing, and implementation with exposure to enterprise data platforms and AI-enabled capabilities.
Bachelor’s degree in finance, accounting, computer science, mathematics, statistics, economics, technology, engineering, or related fields; advanced qualifications (MBA Finance, CA, CFA) advantageous.
2-4 years experience in Business Analysis, Data Analysis, Data Management, Reporting, or Financial Technology within Financial Services.
Strong SQL skills and experience with Power BI or similar tools; knowledge of Python or other analytical tools is advantageous.
Work Experience Required: 2-4 years in related roles in Financial Services.
Experienced in finance and data management concepts including financial reporting, data sourcing, transformation, governance, and analytics.
Proven ability to elicit business requirements, document processes, and support solution delivery especially in financial or data-focused environments.
Familiarity with modern data tools including Generative AI, Microsoft Copilot, Collibra, Jira or Confluence to enhance analysis and reporting.