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    Data Analyst - Toronto, Canada - Data SEA Consulting

    Data SEA Consulting
    Data SEA Consulting Toronto, Canada

    6 days ago

    Default job background
    Technology / Internet
    Description

    Data SEA Consulting – Data Analyst

    Company Description

    Data SEA Consulting focuses on helping mid-sized businesses harness the power of their data by leveraging the latest analytics tools and techniques. We work with Private Equity Funds and Independent Business Owners to find the unique data solutions that will drive the most value for their business. After creating the data strategy and proposing solutions, we use our technical expertise to execute on building out these solutions into analytics infrastructure and tools that can help drive the business forward.

    For more information about Data SEA, please visit our website:

    If you are passionate about working with data, delivering great analytics solutions, and solving challenging problems, then we would love to hear from you.

    Job Description

    In this role as a full-time Data Analyst, you will work with members of the Data SEA team to design, develop and deploy high-quality data solutions and data infrastructure that will drive value for our clients' businesses.

    Responsibilities

    • Directly engage with clients to lead the implementation of analytics solutions, ensuring a successful user experience.
    • Assist in the design and development of data architecture to optimize data flow, storage, and accessibility, meeting business needs and improving decision-making processes.
    • Construct robust Data Pipelines to efficiently transfer data from source systems to a centralized Data Lakehouse, utilizing best practices in Data Engineering and implementing a medallion architecture
    • Oversee the training, deployment, and monitoring of Machine Learning models, ensuring they provide accurate and timely predictions
    • Help in establishing and managing data governance policies to maintain data integrity, quality, and security, while ensuring compliance with data access and usage regulations
    • Create data visualizations and analyses by merging various data sets to present key insights through different reporting techniques
    • Dive into clients' data and develop strategic plans to maximize value for clients, balancing hands-on work with big-picture thinking
    • Innovate by prototyping new frameworks and technologies, enabling Data SEA to rapidly equip its clients with state-of-the-art infrastructure

    Qualifications

    Should Have

    • A background in computer science and/or relevant work experience in the field of Data Analytics, Data Engineering and/or Data Science
    • Ability to pick up new technologies with ease
    • A strong SQL knowledge and experience working with relational databases
    • Experience with object-oriented & functional scripting languages such as Python
    • A history of manipulating, processing, and extracting value from large, disconnected datasets
    • A natural curiosity about how to improve systems and processes
    • A keen interest in learning about our clients' businesses and a passion for finding the right solutions
    • Strong oral and written communication skills
    • Experience working with Power BI, Tableau, and/or Looker

    Nice to Have

    • Experience with Databricks
    • Experience working on AWS, Azure, and/or Google Cloud infrastructure
    • Experience working in a Dev, UAT and Prod configuration when writing and deploying code
    • Experience in applying Data Engineering best practices to create robust data pipelines and implement a medallion architecture for efficient data storage and retrieval.
    • A solid understanding of Data Architecture best practices, including data modeling techniques, design principles for data warehousing and lakes, and strategies for data integration and lifecycle management to build robust and scalable data ecosystems.
    • Knowledge and experience in implementing Data Governance best practices, including developing and enforcing data policies, standards, and procedures to ensure data accuracy, consistency, and security, while promoting compliant data usage and management.
    • Proficiency in Machine Learning best practices, including approaches to training, deploying, tuning, and monitoring Machine Learning models for optimal performance and accuracy.

    What You Can Expect from Us

    At Data SEA Consulting, we are passionate about finding the right people and helping them grow so that they can help us solve the complex analytical problems that we tackle on behalf of our clients. As a key member of a small but growing team, you would receive extensive 1:1 coaching and the chance to work on a wide variety of projects across a number of different industries.

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