Data AnalysT - Richmond

Company: Optimhire
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Location: Richmond, USA
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Work Experience:

Advanced SQL and/or Python working knowledge

Experience working with structured and unstructured databases

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement

A successful history of manipulating, processing, and extracting value from large disconnected datasets

Experience with full-stack JavaScript development and frameworks

Experience with business intelligence tools E.G. Qlik, Tableau, ETL, etc.

Skill Sets:

Strong desire and experience with data in various forms (data warehouses/SQL, unstructured data)

Experience utilizing and developing within AWS services

Data Analytics experience

Experience utilizing a business intelligence visualization tool

Experience in querying and analyzing and working with data languages and platforms

Strong experience coding in Python, R, Spark, or SQL

Strong analytical and problem-solving skills

Ability to contribute both independently and as part of a team

Strong listening, communication, interpersonal and presentation skills

Able to work in diverse teams, under tight deadlines, to deliver quality work for customers

Commitment to delivering excellent customer service

A drive to learn and master new technologies and techniques
Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms

Build well-managed data solutions, tools, and capabilities to enable self-service frameworks for data consumers

Demonstrate ability to explore and quickly grasp new technologies to progress varied initiatives

Work Day: Full Time
Employment type: Permanent Job
Salary: USD 80,000.00 - 100,000.00 Yearly
Positions available: 3

Minimal experience: 3 years
Languages: English Medium
Minimum required education: Bachelor's degree
Gender: Indistinct
Computer skills: ETL, Python, SQL
- Availability to travel and work outside the city

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