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  • Posted: Jul 1, 2024
    Deadline: Not specified
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    We are a leading company specializing in omnichannel customer support, committed to delivering top-quality customer experiences at affordable prices. With a team of passionate professionals dedicated to your product and brand, we utilize advanced metrics and tools to ensure maximum efficiency throughout the customer support journey.
    Read more about this company

     

    Data Analyst

    Summary:

    • We are seeking an experienced Data Analyst with expertise in Python, AWS, MySQL, and APIs. Optional knowledge of Docker is a plus.
    • The successful candidate will work with large datasets tgenerate insights that drive business decisions.

    Key Responsibilities:

    • Data Analysis: Use Python tanalyze large datasets and identify trends.
    • Database Management: Manage and manipulate data within MySQL databases.
    • AWS Services: Utilize AWS services (e.g., Lambda, ECR) for automated datastorage, processing, reporting, and analysis.
    •  Automation: Automate data tasks using Python scripts.
    • Data Visualization: Create visualizations using Python tools tpresent data insights.
    • API Integration: Integrate APIs for data retrieval and exchange.
    • Data Quality: Ensure accuracy and consistency of data.
    • Docker: Use Docker for containerizing data environments (optional).
    • Ability tLearn New Tools Quickly: Adapt tand learn new data analysis tools and techniques in a timely manner.
    • Collaboration: Work with teams tunderstand data needs and deliver reports.

    Qualifications:

    • Experience as a Data Analyst (minimum 3 years)
    • Proficiency in Python (minimum 3 years)
    • Experience with AWS services (minimum 2 years)
    • Proficiency in SQL (minimum 1 year)
    • Familiarity with API development
    • Strong analytical and communication skills

    Preferred:

    • Docker experience
    • Familiarity with Affiliate Marketing domain

    Method of Application

    Interested and qualified? Go to SnappyCX on www.linkedin.com to apply

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