Collaborate with business stakeholders to understand their data needs and requirements, and translate them into actionable insights and data-driven solutions.
Perform data analysis tasks, including data cleaning, data transformation, and data visualization, to uncover meaningful patterns and trends in large datasets.
Partner with data engineering to develop and maintain data pipelines and workflows, ensuring efficient and accurate data extraction, transformation, and loading (ETL) processes.
Apply statistical analysis techniques and machine learning algorithms to identify correlations, predict outcomes, and optimize business processes.
Assist in the development and maintenance of data models, data dictionaries, and data documentation to ensure data integrity and consistency.
Conduct exploratory data analysis to discover insights and provide recommendations for improving business performance and decision-making.
Collaborate with data engineers and data scientists to identify opportunities for automation and optimization of data processes and workflows.
Monitor data quality and proactively identify and resolve data discrepancies or anomalies.
Participate in cross-functional teams to support data-related projects, providing expertise and guidance on data analysis, data management, and data visualization.
Work on business case development, project value proposition, and help with workload prioritization.
Stay updated with the latest industry trends and advancements in data analytics, data science, and data engineering, and apply this knowledge to enhance data capabilities within the organization.
Constant, self-motiviated pursuit of learning systems, organizational structure, processes, data sets, techniques, etc.
Interpret and explain information to audiences who are not familiar with the subject matter, often requiring persuasion.
Is required to review and recommend solutions to issues that involve a number of possible alternatives which may not be clearly defined.
Serve as a project lead or task force member on projects and/or issues having a significant impact on functional and strategic goals.
Provide guidance and training to others in the use of new technologies, theories, concepts and techniques.
Constant, self-motiviated pursuit of learning systems, organizational structure, processes, data sets, techniques, etc.
Operate with limited supervision, guidance, and direction from leadership and senior staff.
Provide training and guidance to less experienced professionals.