A Business Intelligence Analyst wanted by DIA Associates LLC in Jersey City, New Jersey.
Responsibilities
Identify the business objectives for DIA’s clients; Study economic and statistical data in finance, transform these objectives into qualitative and quantitative analysis.
Perform business intelligence analysis, conduct research on economic issues and disseminate research findings through technical reports offered by clients.
Conduct financial modeling for clients by simulating outcomes and calculating revenue, cost and profitability, in order to quantify the economic impact of various scenarios for a company.
Compile, analyze, and report data to explain economic phenomena and forecast market trends, applying mathematical models and statistical techniques. Work with clients and external data vendors such as credit bureaus and online resources to gather information and data required for business analysis.
Process data and information gathered from various sources of customer characteristics such as credit scores, account balances, and monthly expenditures, in order to analyze client business projects, and compile data to detect patterns. Provide advice and consultation on economic relationships to businesses.
Execute discrete analysis such as: Profiling, by considering evolution of population characteristics over time; Segmentation, by separating population into distinct groups based on underlying metric using population and/or entity characteristics; and Modeling, by building statistical/economical models in order to establish relationships.
Capture and interpret analysis findings and recommendations; translate findings into visually presentable pages and detailed presentations for clients.
Requirements
Master’s degree in Business Analytics
Must have at least Six (6) months of experience in business intelligence analysis
Must have knowledge of optimization models, big data, Regression Analysis, Hypothesis Testing, Time Series, PCA and clustering, Python, data mining, data warehousing, statistical models, binary classification, machine learning algorithms, Classification, Tree-based methods, bootstrap, natural language processing, data visualization, SQL.
Salary
$120,000
Benefits
401(k) & 401(k) matching, health insurance, dental insurance, vision insurance, paid time off.
