Addepar Data Analyst

Galent; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

Galent seeks a senior data engineer with 5+ years of Addepar experience to optimize data models, feeds, and reconciliations for wealth management clients.

The role emphasizes SQL proficiency, data quality, and platform integrations, supporting portfolios, holdings, and reporting datasets. You will partner with investment ops, IT, and analytics to deliver reliable data solutions.

Qualifications

• Bachelor’s degree in information systems, IT, CS, finance, accounting, business analytics, data analytics, or related field.
• 5+ years of hands-on Addepar platform experience in wealth/asset management or financial services.
• 5+ years in data engineering, data analysis, investment operations tech, or enterprise data operations.
• Deep understanding of the Addepar data model: accounts, entities, portfolios, holdings, transactions, securities, classifications, attributes, benchmarks, performance, reporting views.
• Experience supporting Addepar data imports/exports, data feeds, integrations, reconciliation, and platform configuration.
• Proficient SQL with joins, aggregations, data profiling, and large-dataset analysis.
• Experience diagnosing data quality issues across portfolios, accounts, transactions, positions, security master, performance, reporting datasets.
• Strong wealth/asset management workflow knowledge: portfolio management, reporting, performance, operations.
• Ability to translate business requirements into data requirements, mappings, validation rules, and procedures.
• Strong analytical, communication, documentation, and stakeholder-management skills.

Skills

Addepar platform

SQL

data modeling

data integration

data quality

wealth management

APIs & integrations

data engineering

Education

Bachelor’s degree in IS/IT/CS/Finance/Accounting/Business Analytics/Data Analytics

Tools

Snowflake

Databricks

dbt

Python

Canoe

ETL/ELT tools

Job description

Looking for professionals with 5+ years of Addepar experience, strong SQL, and investment/portfolio data expertise. Experience with holdings, transactions, securities, reconciliation, data quality, and APIs/integrations is highly preferred. Background in wealth management, asset management, or investment operations is a strong plus.

Required Qualifications:

• Bachelor’s degree in information systems, Information Technology, Computer Science, Finance, Accounting, Business Analytics, Data Analytics, or a related field.
• 5+ years of hands-on experience with the Addepar platform in wealth management, asset management, family office, investment advisory, or financial services environment.
• 5+ years of experience in data engineering, data analysis, investment operations technology, financial systems support, platform analytics, or enterprise data operations.
• Strong understanding of the Addepar data model, including accounts, entities, ownership structures, portfolios, holdings, transactions, securities, classifications, attributes, benchmarks, performance, and reporting views.
• Experience supporting Addepar data imports, exports, data feeds, integrations, reconciliation processes, and platform configuration.
• Intermediate to advanced SQL skills, including joints, aggregations, data profiling, exception identification, reconciliation, and large-dataset analysis.
• Experience diagnosing and resolving data quality issues across portfolios, accounts, transaction, position, security master, performance, and reporting datasets.
• Strong understanding of wealth or asset management workflows, including portfolio management, investment operations, client reporting, performance reporting, alternative investments, and financial reporting.
• Experience translating business requirements into data requirements, technical specifications, data mappings, validation rules, and operating procedures.
• Strong analytical, problem-solving, communication, documentation, and stakeholder-management skills.
• Ability to operate effectively in a fast-paced environment with multiple priorities, production deadlines, and high expectations for accuracy, reliability, and responsiveness.

Desired Qualifications:

• Experience integrating Addepar with Snowflake, Databricks, enterprise data warehouses, BI/reporting tools, CRM platforms, client portals, portfolio accounting systems, or investment operations platforms.
• Experience using Addepar APIs or developer tools to support automated extracts, data enrichment, platform integrations, workflow automation, or downstream reporting processes.
• Experience with Canoe or similar alternative investment document automation and data extraction.
• Experience with Snowflake, including data ingestion, transformation, modeling, access controls, data sharing, and consumption-layer design.
• Experience with Python, dbt, ETL/ELT tools, orchestration platforms, APIs, file-based integrations, and automation scripts.
• Knowledge of portfolio accounting, investment book of record concepts, performance measurement, client reporting, asset classification, account hierarchy, and investment data governance.
• Experience developing dashboards, exception reports, reconciliation tools, operational metrics, or analytics datasets.
• Familiarity with financial services controls, including audit, data lineage, access controls, SOX, AML/KYC, SEC/FINRA, and operational risk requirements.
• Experience with Agile delivery, SDLC processes, production support, incident management, root-cause analysis, release validation, and change-management procedures.
• Ability to work across business, data, technology, investment operations, reporting, compliance, and vendor teams to deliver practical, scalable data solutions.
• Addepar data model, platform configuration, reporting views, data imports, exports, integrations, and APIs
• Portfolio, account, entity, ownership, holding, transaction, security master, classification, benchmark, performance, and reporting data
• SQL, data profiling, data reconciliation, data validation, and exception management
• Snowflake and modern enterprise data platform concepts
• API-based integrations, file-based integrations, ETL/ELT workflows, and data pipeline support
• Wealth and asset management workflows
• Portfolio analytics, client reporting, performance reporting, investment operations, and financial reporting
• Alternative investment data workflows, including Canoe or comparable platforms
• Data governance, data quality, lineage, access controls, auditability, and operational resilience
• Production support, incident triage, root-cause analysis, vendor escalation, release validation, and runbook documentation
• Agile delivery, requirements analysis, user acceptance testing, change management, and technical documentation
• Communication with investment, operations, reporting, compliance, data, technology, and vendor stakeholders

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.eerify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf