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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

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