Hiring: Analytics Engineer Company: The Phoenix Group Location: New York City Metropolitan Area Job Posted Time: 2026-09-16 22:28:22 Target Skills & Keywords : AWS, Agile, Airflow, Data Pipeline, Phoenix, Quality Assurance, SQL, Snowflake, Systems Integration, dbt About the job Experience: •1 to 3 years of relevant experience in data analytics, data engineering, or reporting roles within finance, asset management, or private equity. •3 years of relevant experience in data analytics, data engineering, or reporting roles within finance, asset management, or private equity. Required Skills: •Design, develop, and optimize data models, datasets, dashboards, and reports supporting monthly and quarterly fund performance and operational reporting cycles. •Transform raw source data into high-quality, reusable, and structured datasets for analytics and business intelligence purposes. •Utilize dimensional modeling principles to create and maintain fact and dimension tables, star schemas, and business metrics aligned with fund valuation and reporting needs. •Write, test, and maintain complex SQL queries, stored procedures, and data transformations involving joins, aggregations, window functions, and subqueries across multiple systems. •Develop analytics solutions using BI platforms such as Power BI, Sigma Computing, and Snowflake, including dashboard and report creation. •Partner cross-functionally with Data Engineers to understand source system architecture, establish reliable data pipelines, resolve data-quality issues, and support end-to-end data workflows. •Partner with Business Analysts and stakeholders, including fund managers and portfolio leads, to translate business requirements into effective data models, KPIs, and report deliverables. •Validate data accuracy, reconcile discrepancies, and troubleshoot data issues across multiple systems and models. Qualifications: •Strong proficiency in SQL, including joins, aggregations, subqueries, window functions, and CTEs. •Solid understanding of dimensional data modeling concepts such as fact/dimension tables, star schemas, and data relationships. •Hands-on experience developing dashboards and reports using Power BI, Sigma Computing, Snowflake, or similar BI tools. •Operational familiarity with data transformation frameworks like dbt or equivalent. •Knowledge of source system integration, data pipeline development, and data quality assurance practices. •Demonstrated capacity to collaborate effectively with Data Engineers on data pipelines and source system issues. •Strong attention to detail, data validation, and troubleshooting skills. •Excellent written and verbal communication, capable of translating technical concepts for stakeholders. •Bachelor’s degree in Computer Science, Data Analytics, Finance, or related field, or equivalent practical experience. •Exposure to Sigma Computing, Power BI, and Snowflake. Compensation: •$100,000 - $120,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!