Performance Market Data Analyst

Job DetailExperience Level Mid LevelDegree Type Bachelor of Science (BS)Employment Full TimeWorking Type HybridJob Reference 0000017762Salary Type AnnuallyIndustry Hedge FundSelling Points Shape strategic decisions by leveraging advanced analytics and reporting tools. Collaborate with experts in a dynamic, innovation-driven environment. Enhance your expertise in financial data analysis and automation.Job DescriptionOverviewCollaborate with teams to optimize performance reporting and analytics for strategic decision-making.Drive scalability and standardization of reporting frameworks across financial strategies.Lead initiatives to automate processes and adapt to evolving business needs.Provide actionable insights through detailed analysis to support management decisions.Design and implement robust data infrastructure in collaboration with technical teams.Respond to data inquiries with timely, accurate, and high-quality analysis for stakeholders.Contribute to a culture of innovation, continuous learning, and open communication.Engage in a fast-paced, dynamic environment with opportunities for professional growth.Key Responsibilities & DutiesLead initiatives to enhance data quality and governance practices for strategic reporting.Develop and maintain advanced SQL queries for comprehensive data analysis.Collaborate with technical teams to implement scalable reporting solutions.Leverage tools to automate data tasks and extract actionable market insights.Translate complex quantitative findings into insights for diverse stakeholders.Support portfolio managers with macroeconomic data analysis for planning.Ensure adherence to best practices in documentation and validation of processes.Promote collaboration and cross-training within a skilled team environment.Job RequirementsBachelor’s degree in a relevant field with 4–6 years of experience in analytics.Proficiency in SQL, with experience in Python, Power BI, and Databricks preferred.Strong project management skills and ability to work collaboratively with teams.Experience with large-scale datasets and translating findings for stakeholders.Knowledge of data quality validation, governance, and documentation practices.Familiarity with leveraging tools for data task automation and insights extraction.CFA certification or willingness to pursue CFA is highly desirable.Excellent communication skills and adaptability in a dynamic, hybrid work environment.