Business Intelligence Data Analyst Resume
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Paramus, NJ
SUMMARY:
- Financial analytics professional with experience in quantitative analysis, financial modeling, data management and reporting automation to support high - quality results and decisions. In-depth knowledge of data structure and reporting needs for consumer/commercial lending, credit risk management, business analytics and modelling with expertise in Excel, SQL, R, Python, SAS, Tableau and manipulating large complex data sets.
- Advanced proficiency in data analysis and building custom tools in R, Python (Pandas), and Tableau
- Able to multi-task, prioritize and flex with changing business requirements
- Client management & relationship building
- Strong math, analytical, written & oral communication skills
- Gathering user requirements and translating needs between developers and non-technical users
- Creative and effective storytelling approach to results
- Exposure to big data and machine learning applications
PROFESSIONAL EXPERIENCE:
Confidential, Paramus, NJ
Business Intelligence Data Analyst
Responsibilities:
- Provide in-depth financial analysis and reporting
- Database management using SQL, Access and ETL tools
- Analyze current performance using Probability of Default (PD), Allowance of Loan Loss (ALLL), and other risk and default related models
- Conduct ad-hoc research analysis to enhance decision making
- Present results and recommendations to top level executives
- Gather user requirements and create SOPs for reporting products and tools
- Create data visualizations and custom dashboards using SSRS and Tableau
- Build data manipulation and automated reporting tools in R and Python to streamline analysis
- Train end users on implementing automated tools in lieu of manual data manipulation
- Design and recommend updates based on user feedback
Confidential, New York, NY
Senior Marketing Research Analyst
Responsibilities:- Managed custom research programs from proposal to debrief for major CPG, food/beverage, retail and technology companies
- Coordinated with clients, internal teams and vendors on research design, project updates and client objectives
- Analyzed resulting data to extract actionable insights and distilled data into an enthralling story
- Presented final research results and actionable business recommendations to end clients and business decision makers
- Created and maintained relational client databases and custom dashboards using SQL, Access and Tableau
- Analyzed data and built analysis products using R and Python, including Pandas
- Mentored and trained entry level researchers
- Served as technical liaison between clients, internal stakeholders and external developers when delivering custom technology solutions
Confidential, New York, NY
R&D Lab Technician/Chemist
Responsibilities:
- Received exposure to market research teams processes in determining fragrance's perceived in-market success
- Created experimental fragrances and modifications based on specifications from various master perfumers
- Coordinated with sales/marketing teams on product applications
Confidential, Middletown, CT
Research Assistant
Responsibilities:
- Performed quantitative analysis including regressions and model forecasting to support graduate research efforts
- Summarized resulting data by creating PowerPoint presentations for internal department roundtables
