Qode
Wealth Management
DataAnalyst-WealthManagement
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analyst - Wealth Management at Qode. Skills: SQL, Data analysis, Wealth Management. Analyze complex financial data. Translate business needs into data logic”
Industry & Context.
Root cause investigation
What They're Looking For.
Must Have
Expert-level SQL skills, Complex joins, CTEs, Window functions, Subqueries, Analytical query design, Strong experience with data discovery, Strong experience with data profiling, Strong experience with data quality analysis, Strong experience with root cause investigation, Strong experience with functional requirements gathering, Hands-on experience validating ETL/Data Pipeline outputs, Strong understanding of Wealth Management data, Strong understanding of Portfolio holdings, Strong understanding of AUM, Strong understanding of Performance returns, Strong understanding of Fees and transactions, Experience with Python for data analysis, Familiarity with Databricks, Familiarity with Spark SQL, Familiarity with cloud-based data platforms, Excellent communication skills, Excellent stakeholder management skills, Ability to translate business requirements into precise data logic, Ability to translate business requirements into acceptance criteria
Nice to Have
Hands-on experience with Python, Hands-on experience with Databricks, Experience within Wealth Management, Experience within Asset Management, Experience within Financial Services, Exposure to custodian feeds
What You'll Do.
Analyze complex financial data
Translate business needs into data logic
Surface insights that drive decisions
Write sophisticated SQL queries
Analyze large datasets
Profile large datasets
Define business logic
Validate data across wealth management systems
Understand functional requirements
Ensure data is accurate
Ensure data is consistent
Ensure data is fit for purpose
How You'll Work.
Team & Collaboration
Partner with investment teams; Partner with operations; Partner with technology; Partner with business stakeholders
Communication Scope
Stakeholder management
Full Job Description
**Role Overview** We are seeking a highly skilled Data Analyst – Wealth Management to join our growing team in Austin, TX. This is a discovery- and analysis-driven role for a curious, detail-oriented professional who thrives on understanding complex financial data, translating business needs into clear data logic, and surfacing insights that drive decisions. The ideal candidate excels at writing sophisticated SQL queries, analysing and profiling large datasets, defining business logic, and validating data across wealth management systems. You will partner closely with investment teams, operations, technology, and business stakeholders to understand functional requirements and ensure data is accurate, consistent, and fit for purpose. Hands-on experience with Python and Databricks is a plus, but this role is fundamentally about analytical depth and business understanding rather than pipeline engineering. **Required Skills** * · **Expert-level SQL skills including:** o Complex joins o CTEs o Window functions o Subqueries o Analytical query design * · **Strong experience with:** o Data discovery and profiling o Data quality analysis o Root cause investigation o Functional requirements gathering * · **Hands-on experience validating ETL/Data Pipeline outputs** * · **Strong understanding of:** o Wealth Management data o Portfolio holdings o AUM o Performance returns o Fees and transactions * · Experience with Python for data analysis (Pandas, NumPy) * · Familiarity with Databricks, Spark SQL, or cloud-based data platforms * · Excellent communication and stakeholder management skills * · Ability to translate business requirements into precise data logic and acceptance criteria **Preferred Qualifications** * · Experience within Wealth Management, Asset Management, or Financial Services * · Exposure to custodian feeds.
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