The organization is looking to drive data-driven decision-making by leveraging data, analytical methods, and business context to identify solutions and insights.
Requirements
- You have practical industry experience using statistical methods to derive insights from data and preparing model-ready data sets for use in AI/ML models.
- You have practical industry experience with deploying a broad range of self-service BI solutions for business users using modern BI tools such as Tableau, Power BI, etc.
- You have practical industry experience using SQL, and R or Python to query, combine, transform, visualize, and analyze data.
Responsibilities
- You apply appropriate scientific and quantitative methods to data to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.
- You identify, gather, and enrich data to design and develop measures, metrics, features, and complex data sets for AI/ML, business intelligence, and other analytic projects.
- You actively contribute to the planning and execution of the enterprise data roadmap by identifying data gaps and defining the sources, transformations, business rules, and other requirements in collaboration with engineering, analytics, and business teams.
- You plan, design, develop, and deploy self-service business intelligence solutions that provide transparency and increased decision-making capacity to the business.
- You write code of high quality in multiple languages to query, transform, combine, analyze, and visualize data following best practices including debugging, versioning, documentation, and peer review.
- You design data and analytic solutions to solve ambiguous and hypothetical business problems.
- You take reasonable measures to ensure accuracy, appropriateness, and completeness of data and method of analysis for the task, pursue problem identification and recommend solutions.
Other
- You communicate findings effectively to less technical audiences incorporating visualization techniques.
- You communicate with colleagues typically within your own job area and may communicate externally as necessary.
- You may work to gain cooperation by sharing information about policies and procedures to other teams.
- You work independently with general supervision on larger, moderately complex projects/assignments.
- You may take the lead on defined components of projects or processes within area of responsibility, as well as provide guidance to more junior team members.
