More jobs:
Data Scientist
Job in
Miami, Miami-Dade County, Florida, 33222, USA
Listed on 2026-10-12
Listing for:
StevenDouglas
Full Time
position Listed on 2026-10-12
Job specializations:
-
IT/Tech
Data Analyst, Data Warehousing
Job Description & How to Apply Below
- Develop recurring reports and analytics supporting capital, sales, commissions, intercompany transactions, and risk management, and create ad hoc reports and analyses for the direct manager and C-suite.
- Build, maintain, enhance, and troubleshoot Power BI dashboards and reports, including Power Query transformations, DAX measures, data models, and reporting logic.
- Prepare and distribute a biweekly Risk Committee reporting package highlighting portfolio performance, emerging risks, exceptions, trends, and areas requiring management attention.
- Use financial modeling, regression analysis, statistical techniques, and advanced Excel tools to evaluate business drivers, support dynamic pricing, and contribute to revenue growth.
- Extract, clean, reconcile, and analyze data from SQL databases, accounting systems, Excel workbooks, CSV files, and other applications to identify trends, anomalies, risks, and performance drivers.
- Partner with stakeholders to define reporting requirements and key performance indicators, validate data accuracy, automate recurring processes, and maintain reporting documentation.
- Bachelor's degree in Computer Science and at least three years of professional experience in data analytics, business intelligence, financial analytics, or a related role.
- Advanced proficiency in Microsoft Excel and SQL, including complex queries, joins, common table expressions, aggregations, pivot tables, financial modeling, data validation, and large-dataset analysis.
- Hands-on experience building and maintaining Power BI dashboards and reports using Power Query, DAX, relational data models, and calculated measures.
- Strong understanding of relational databases, data structures, data quality controls, reporting methodologies, and business intelligence concepts.
- Experience applying statistical analysis, regression, forecasting, trend analysis, and variance analysis to business or financial data.
- Ability to translate business requirements into accurate reports, dashboards, key performance indicators, and actionable recommendations, and clearly present findings to senior management and C-suite stakeholders.
- Experience with accounting systems and financial data, combined with strong analytical, organizational, problem-solving, communication, multitasking, and time-management skills.
- Experience with Python or R for data manipulation, statistical analysis, automation, or model development.
- Experience in financial services, lending, portfolio or risk analytics, ETL processes, data warehouses, APIs, or cloud-based data platforms.
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