The main purpose of a data analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better business decisions.
Essential Functions:
25% Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures.15% Collect, analyze, and interpret data to glean insights, and develop business appropriate recommendations.15% Serve as an expert resource supporting data questions and issues from stakeholders and driving to resolution.15% Research and analyze data flow across complex data ecosystem including operational and analytical data platforms.10% Manage the collection of business and technical requirements from stakeholders to deliver data driven solution. Produces and reviews technical documentation that is consistent with professional standards.10% Lead in the design, development, validation and delivery of data to provide insight into business decisions.10% Act as a mentor to all team members.Qualifications:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.The requirements listed below are representative of the knowledge, skill, and/or ability required.Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Education Level: Bachelor's Degree
Education Details: Data Science, Mathematics, Computer Science, Statistics, Business or related field.
Experience: 8 years experience in a progressively responsible analytical/quantitative role.
In Lieu of Education: In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
Preferred Qualifications:
Experience in healthcare industry.Hands on experience with Big Data/NoSQL Platforms with experience delivering production projects at scale.Strong project management skills and ability to manage multiple and diverse stakeholders and leadership roles.Knowledge, Skills and Abilities (KSAs):
Quantitative, analytical and problem solving skills. Expert.Knowledge and understanding of analytical tools, languages, applications, platforms. Expert.Excellent communication skills both written and verbal. Expert.Ability to learn quickly and take direction. Expert.Experience working on AI/client projects/products.Knowledge of AWS ecosystem and tools.The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes them ineligible to perform work directly or indirectly on Federal health care programs. Must be able to effectively work in a fast-paced environment with frequently changing priorities, deadlines, and workloads that can be variable for long periods of time. Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.
Notes:
6 to 7 years of experience.Research Analyst.Analyst who has skillset of data analyst – Machine Learning and AI model development.Proficiency in SQL.Working with AWS infrastructure – Glue and Athena, S3.Good understanding of data, different trends of data.Python is nice to have.Output feeds into the data scientist and that helps data scientist to build data models.Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
IT Services and IT Consulting
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