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    Senior Engineer - Mississauga, ON, Canada - Invafresh

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    Description

    WHO WE ARE:

    Based in Mississauga, Canada, and deployed globally, Invafresh is a leading technology company specializing in FreshologyTM software solutions for supermarket & boutique fresh food grocers around the world.

    In business since 1988, Invafresh continues to invest in its people and technology.

    Today, Invafresh is an organization of experienced and retail-savvy Freshologists equipped with industry specific solutions that supermarket chains can leverage to succeed in the field of fresh operations.

    Our fresh food retail operations solutions are deployed collectively in over 25,000 grocery stores worldwide, actively supporting the in-store execution of fresh operations.

    We enable our customers to achieve and maintain a leadership position in their fresh food offering by providing data integrity and decision support tools needed to enhance sales, reduce shrink and inventories, and improve overall margins while positively impacting the planet by reducing food waste throughout the supply chain of fresh food retail.

    We help our customers achieve success in the highly competitive grocery market.

    We are seeking a highly motivated and detail-oriented Senior Analytics Engineer to join our team.

    As a Senior Analytics Engineer, you will be responsible for interpreting data, analyzing results, and providing insights to guide business decisions.

    You will work closely with cross-functional teams to gather, organize, and transform data into meaningful reports and visualizations that drive actionable insights.


    Data Collection and Preparation:
    Collaborate with various teams to identify data sources and collect relevant data.
    Clean, transform, and preprocess data to ensure accuracy, consistency, and suitability for analysis.


    Data Analysis:
    Utilize statistical techniques to analyze large datasets and extract meaningful insights.
    Identify trends, patterns, and correlations in the data to support business objectives.
    Perform exploratory data analysis to discover hidden insights.

    Create recurring reports and automate data visualization processes where possible.

    Translate complex data into understandable insights that drive decision-making.
    Collaborate with business teams to understand their needs and provide data-driven recommendations.


    Data Quality and Integrity:
    Monitor and ensure data quality and accuracy through regular audits and validation procedures.
    Identify and address data discrepancies or anomalies.

    Work closely with cross-functional teams, including business analysts, managers, and data scientists, to understand requirements and provide analytical support.

    Communicate findings and insights effectively to both technical and non-technical stakeholders.

    Stay up-to-date with industry trends, best practices, and emerging technologies in data analysis.
    Proactively suggest process improvements and ways to enhance data analysis efficiency

    Bachelor's degree in a related field such as Data Science, Statistics, Computer Science, Economics, or Mathematics. Proven experience as a Data Analyst or similar role.
    Proficiency in data analysis tools such as Python, R, or SQL.
    Experience with data visualization tool Power BI
    Attention to detail and a strong sense of data accuracy.
    Familiarity with data warehousing concepts and data modeling is a plus.


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