Senior Data Analyst

Incedo Inc.; United States; On-site; USD 85,000 - 120,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Job summary

A leading data analysis firm is looking for a Senior Talent Acquisition Specialist who specializes in the Wealth Management domain. The successful candidate will analyze complex financial datasets and work closely with data engineers in a fast-paced environment. Required qualifications include strong SQL and Python skills, along with AWS experience. This is a full-time position offering comprehensive benefits, including medical and 401(k) plans.

Qualifications

• 5+ years of experience in the Wealth Management domain.
• Strong hands-on experience with SQL and Python.
• Experience working with AWS cloud technologies.
• Experience designing or contributing to data quality rule engines and DQ monitoring is a plus.

Responsibilities

• Analyse Wealth Management data, including portfolios and transactions.
• Perform data validation and reconciliation of data issues.
• Define and implement data quality rules and framework.
• Create reports and dashboards to monitor recruiting metrics and outcomes.

Skills

Wealth Management domain knowledge

SQL

Python

AWS cloud technologies

Analytical skills

Data quality rules

Tools

AWS S3

AWS Athena

AWS Redshift

AWS Glue

Spark/PySpark

Job description

Senior Talent Acquisition Specialist at Incedo - Hiring for Life Sciences

Job Summary

We are seeking a highly skilled Data Analyst with strong Wealth Management domain knowledge and backend cloud data processing experience. The ideal candidate will analyze complex financial datasets, support data quality initiatives, and work closely with engineering teams to ensure reliable, cloud-based data solutions.

Key Responsibilities

• Analyse Wealth Management data, including portfolios, holdings, trades, transactions, and market/pricing data.
• Perform data validation, reconciliation, and root-cause analysis of data issues.
• Define and implement data quality (DQ) rules and framework requirements.
• Work closely with data engineers to support backend data processing in AWS.
• Create reports and dashboards for business and operational teams.
• Write complex SQL queries and perform large-scale data analysis.

Required Skills

• Strong experience in the Wealth Management domain (AUM, portfolios, asset classes, client reporting).
• Hands-on experience with SQL and Python.
• Experience working with AWS cloud technologies (S3, Athena, Redshift, Glue).
• Experience designing or contributing to data quality rule engines and DQ monitoring.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Experience with Spark / PySpark.
• Knowledge of data governance and metadata management.
• Experience in Agile/Scrum environments.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Business Development

Industries

• IT Services and IT Consulting

Benefits

• Medical insurance
• Vision insurance
• 401(k)