Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems
Job Summary
Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
Partner with the business to provide consultancy and translate business needs to design and develop tools, techniques, metrics, and dashboards for insights and data visualization.
Drive an understanding and adherence to the principles of data quality management including metadata, lineage, and business definitions.
Matching Summary
Leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems.
Salary
McLean, VA: $111,200 - $126,900; Richmond, VA: $101,100 - $115,400; Chicago, IL: $101,100 - $115,400; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits
Skills & Requirements
Must-have
data mining complex data sources
build data solutions and tools
develop self-service frameworks
data visualization and insights
data quality management principles
Nice-to-have
explore and grasp new technologies
partner with business for consultancy
process management and improvement methodologies
Key Requirements
Bachelor’s Degree in quantitative field
2 years of data analytics experience
1 year scripting language experience
1 year business intelligence visualization tool experience
1 year querying data languages and platforms
Master’s Degree in STEM discipline (preferred)
2 years coding in Python, R, Spark, or SQL (preferred)