Support and maintain data quality efforts by tracing ETL data pipelines, primarily through SQL queries
Translating non-technical requirements into analytical designs developers can build and support
Defining and implementing data validation and reconciliation frameworks for project data
Identifying data quality gaps and embedding validation checks in their processes
Developing and maintaining the performance calculation engine for IRR, benchmarks, quartiles, and related computations
Establishing pragmatic standards documentation, and reporting, including reusable templates/assets to accelerate delivery
Delivering intuitive Power BI dashboards and reports that clarify complex metrics and support planning, prioritization, and performance tracking
Enabling analytics by translating business requirements into actionable analytical designs
Support and enforce data governance by applying validation and cleansing procedures to maintain accurate, consistent, and compliant data
Communicating findings and recommendations to technical and non-technical stakeholders

Bachelor’s degree in Data Analytics, Statistics, Finance, Computer Science, or related field
5+ years in data analysis or Business Intelligence roles within financial services
Advanced Power BI skills (DAX, Power Query, data modeling, dashboard design)
Strong grounding in data validation, reconciliation, and quality assurance
Competent SQL for data exploration and validation
Exceptional written and verbal communication skills
Ability to prioritize and multi-task in a fast-paced, dynamic environment
Excellent time management and organizational skills
Preferred: familiarity with Azure Data Lake/Synapse/Fabric; experience leading internal upskilling; understanding of financial or operational performance metrics
Nice to have: Private capital domain knowledge, experience with data-quality tooling, Python for data wrangling

employer-funded benefits plan
attractive retirement offering
group retirement plan
no fee/no carry basis for investing in Northleaf funds
fitness and wellness reimbursement
charitable donation matching
tuition assistance
flexible working arrangements (up to two remote days per week and fully remote for up to two weeks per year)

Senior Data Analyst, Technology, Data & Digital Transformation

Key skills