Georgia Tech is looking to solve business and technical problems by analyzing data, interpreting trends and patterns, and providing insights to support decision-making processes.
Requirements
- Proficiency in business intelligence tools (e.g., Tableau, Power BI, Looker, Qlik).
- Strong SQL querying and data blending skills across multiple data sources.
- Familiarity with data modeling concepts
- Working knowledge of basic statistics and descriptive analytics.
- Ability to prototype and iterate quickly on dashboards and reports.
- Understanding of performance optimization for dashboards and data models.
- Experience with data visualization tools such as Tableau and SQL
Responsibilities
- Collect, analyze, and interpret data from various sources, databases, and systems to extract insights, trends, and patterns that inform business decisions, strategies, and operations.
- Collaborate with business users, data scientists, and Information Technology teams to define data requirements, analytics requirements, and data-driven solutions for business problems and opportunities.
- Develop and maintain data models, queries, and reports using SQL, Python, R, or data analysis tools to perform data cleansing, transformation, and visualization tasks.
- Identify data quality issues, anomalies, and discrepancies in datasets, conduct data validation, data profiling, and data integrity checks to ensure data accuracy and reliability.
- Create data visualizations, dashboards, and data analytics reports to communicate data findings, trends, and key metrics to stakeholders, management, and decision-makers.
- Conduct ad-hoc data analysis, exploratory data analysis, and statistical analysis to support decision-making processes, performance monitoring, and data-driven insights.
- Perform data mining, predictive analytics, and machine learning tasks to uncover hidden patterns, predict outcomes, and drive data-driven decision-making in organizations.
Other
- Associate's Degree in a related discipline or equivalent combination of education and experience.
- Two or more years of relevant experience.
- Strong verbal and written communication skills for non-technical audiences.
- Ability to manage multiple concurrent data requests and reporting projects.
- Successful candidate must be able to pass a background check.
