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Responsibilities
Analyze datasets to identify trends, patterns, and actionable insights.
Support data extraction, transformation, and loading (ETL) activities.
Assist with the development, testing, and implementation of analytical tools and software.
Prepare data for analytics, reporting, and machine learning initiatives.
Support data scientists and analysts in research, modeling, and analytical projects.
Develop reports, dashboards, and technical documentation.
Perform data quality reviews and validation activities.
Identify opportunities for process improvement and automation.
Communicate analytical findings to technical and non-technical stakeholders.
Participate in Agile development activities and team collaboration efforts.
Qualifications
Bachelor's degree in: Data Science, Statistics, Mathematics, Computer Science, Operations Research, Information Systems, Analytics, or a related quantitative discipline
Two (2) years of relevant experience in analytics, business intelligence, data science, statistics, computer science, operations research, or related fields.
A Master\'s degree in a related field may substitute for required experience.
Understanding of data analytics, statistics, data visualization, and databases.
Familiarity with programming or scripting languages used in analytics environments.
Strong analytical, problem-solving, and communication skills.
Ability to work effectively in a collaborative team environment.
Strong attention to detail and willingness to learn new technologies.
Bereit?
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