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    Data Management - Chicago, United States - Dale Workforce Solutions

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    Description
    Data Analyst


    Responsibilities:
    Innovation
    Act as key data lead to leverage versatile technical capabilities to drive the development, evolution, and
    implementation of data products, which enable self-service by data consumers
    Re-engineer data processes and migrate the processes from on-premises to Amazon Web Services
    Explore industry trends, tools, and techniques in Open Source/Big Data/Digital domain
    Business Intelligence
    Execute and monitor data processes that deliver critical data to partners and regulators
    Develop prototypes and implement new business intelligence tools, solutions, and techniques
    Assist in development of standards and policies for business intelligence frameworks
    Data Management
    Evaluate data management, data quality and data access processes for gaps, inefficiencies and
    opportunities; provide recommendations for improvement
    Implement solutions and processes for management and governance across data quality metrics, metadata,
    lineage, data access rights, and business definitions
    Develop data mapping to enable data end users to more easily transition to using new systems


    Ideal candidate will have:
    Degree specialized in a Science, Technology, Engineering, or Mathematics discipline
    Experience with Python, Snowflake SQL, Unix/Linux, Databricks and Github
    Experience with Amazon Web Services products, such as EC2, S3, Redshift, and Snowflake
    Desire to learn about external companies (typically Fortune 500) that *** partners with for co-brand and
    private label programs.
    Experience with BI tools such as Tableau/Thoughtspot


    Basic Qualifications:
    Bachelor's Degree
    At least 1 year of experience in at least one scripting language with automation
    At least 1 year of experience in querying, analyzing, and working with data languages and platforms


    Preferred Qualifications:
    Master's Degree in a Science, Technology, Engineering, or Mathematics discipline
    Previous COF experience
    Experience in domain knowledge focused on risk management/audit/ credit operational control space
    1+ years of experience working within process management and improvement methodologies - Lean, Six
    Sigma, etc)
    1+ years of experience working with and demonstrating knowledge of data governance, data quality
    management concepts and data quality tools
    1+ years of experience with hands on Python/SQL coding in Databricks along with automation scripting skills

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