Qode

Wealth Management

DataAnalyst-WealthManagement

$85–125k ~AI est. Austin, Texas, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Analyst - Wealth Management at Qode. Skills: SQL, Data analysis, Wealth Management. Analyze complex financial data. Translate business needs into data logic”

Industry & Context.

Wealth Management
Problems you'll solve

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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