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Job Detail

Mid-level Data Analyst – Python & GitHub

Experience Level

3+ years Year(s)

Location

Richmond, VA/ Mclean, VA

Posted Date

01/06/2020

Job Requirements

Please send resume with contact details, Education(Degree, Univ, Graduation date), copy of work visa & ID and rate
 
Mid-level Data Analyst – Python & GitHub – 3 positions
 
Location: Richmond, VA/ Mclean, VA
Duration: 3 months+
 
Call notes:
 
Top Skills:
3+ years of Python scripts – MUST have ( will not look at someone without Python experience)
Data quality checks
Data will come from store systems – snowflake or API connection or data lake
Needs some experience with Github
Will look at Python Developers with strong data analysis experience.
 
Team Info: 
Enterprise Services Risk
Risk Function supports – Non Line of business areas of client- HR, Technology, etc.
This team is a part of - Technology Risk
Monitor potential technology risk
Work closely with Senior leaders of technology.
Deliver various reports to technology leaders
 
Role Info:
Dashboards currently contain 90 metrics sourced from different sources in the company
Currently working on version 2-0 of that dashboard
Building data quality checks and alerts that are automated. 
 
 
Job Description:
Data Analyst who is looking to assist the Tech Risk Department harnessing the power of data to deliver on its mandate. You will be working with Risk Analytics to write Python scripts to ingest and enrich data to produce metrics that support our oversight of technology risk. The data will be ingested from a variety of sources including the data lake, through APIs or other direct connections. These are metrics that are leveraged at the highest level of technology and risk to help identify our risk posture and inform remediation plans. As a result, attention to detail and the ability to understand the intent of the metrics will be critical.
 
On any given day, you could be:
- Writing SQL to clean, transform, query data
- Writing Python scripts to ingest and enrich data.
- Ensure data and intent integrity by automated data quality verification pipelines.
 
Basic Qualifications:
- At least 3 years of experience with relational databases and programming in SQL
- At least 3 years of experience with version control system like GitHub.
- At least 2 years of experience with Python.
 
Preferred Qualifications:
- 1+ year experience working with advanced Git Workflows (Pull Requests, Code Reviews, Issues, and Branching).
- At least 1 year of experience in open source programming languages for large scale data analysis (Python or Scala).
- Experience in the banking industry.
 

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