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This role supports organizational decision-making by analyzing business requirements and translating them into data requirements such as reports and visualizations. It involves analyzing and interpreting complex data sets to identify trends and inform business strategies. The role requires collaboration with various stakeholders to define data elements, capture metadata, and prepare data for analysis. Success is measured by the accuracy and relevance of data insights and the timely delivery of data products. The work impacts the organization by enabling data-driven decisions and improving data quality management processes.
Job Responsibility:
Collaborate with business subject matter experts and data professionals to define critical data elements and prepare data for analysis
Perform data profiling and monitor data quality by working with data stewards and quality leads to support remediation efforts
Partner with product owners and agile teams to ensure timely and quality delivery of data-related projects
Interpret data models and convert user requirements into technical specifications and design documents
Also responsible for other duties/projects as assigned by business management as needed
Requirements:
Bachelor's Degree OR graduate degree
Must graduate between December 2026 or June 2027 to be eligible
Knowledge of relational databases and data architecture computer systems, including not limited to SQL
Experience working with relational databases using SQL
Experience with Data querying, cleaning, wrangling, working with common relational and non-relational databases in big data environments such as Azure, AWS and Google Cloud
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data
Data Visualization skills using tools such as PowerBI, Tableau etc
Excellent presentation, communication, and organizational skills
Familiarity with Agile Methodology
Strong analytical, critical-thinking skills with demonstrated ability analyze/synthesize data and generate insights
At least 18 years of age
Legally authorized to work in the United States
High School Diploma or GED
Must be actively enrolled in a degree program or graduated within the last year
Nice to have:
2-4 years Experience in data identification, querying, cleaning, wrangling, checking quality, working with common relational and non-relational databases in big data environments on both on- prem and cloud such as Azure, AWS and Google Cloud
2-4 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data
2-4 years Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
2-4 years Experience working with relational databases using SQL
2-4 years Experience with data visualization tools such as Power BI, Tableau etc
2-4 years Experience with big data architecture and pipeline, such as Hadoop, Hive, Spark, and Kafka
What we offer:
Relocation may be provided to program participants who reside more than 50 miles from the internship location