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Data Analyst

Job ID: 25-11577
Job Title: Data Analyst
Location: Remote or hybrid position (Boston or Madison)
Duration: 6 months, potential to convert
Contract Type: W2 only
Pay Rate: $50-$55/Hour
 
Responsibilities
  • This position uses data, statistical and quantitative analysis, explanatory and predictive modeling, and fact-based management to develop new insights, enhance understanding of business performance, and drive decision-making.
  • Responsible for developing dashboards, financial models, and advanced statistical models, as well as data scrubbing, validation, and manipulation.
  • Conducts accurate and timely business analysis and reporting to support and drive business decisions using statistical modeling and other business analysis tools.
  • Collaborates with key stakeholders to define key financial and operational metrics to continuously monitor, track, and report performance.
  • Collaborates with business partners in the development and delivery of key performance analysis and reporting.
  • Builds and maintains models used to project business results; enhances the model where there is business value in adjusting the models.
  • Ensures analysis and reporting accuracy and integrity and explains performance drivers and provides insights into performance trends.
  • Analyzes and addresses data quality issues, tests and analyzes impact of system changes to data/reporting infrastructure.
  • Develops, tests, and deploys automated reporting solutions and automated decision analytics to replace manual business processes.
  • May be requested to complete other assignments or participate in projects based upon skills, achievements, or experience.
  • Demonstrated experience providing customer-driven solutions, support or service.
  • Solid knowledge and understanding of forecasting techniques or statistical analysis.
  • Demonstrated strong experience utilizing data tools to build complex formulas and create reports.
  • Understanding of software tools to query and report data.
  • Knowledge of a variety of standard reporting software packages and best practices for report deployment processes.
  • Demonstrated experience developing data sets.
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