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    Data Analyst II - Toronto, Canada - Axelon Services Corporation

    Axelon Services Corporation
    Axelon Services Corporation Toronto, Canada

    Found in: Talent CA C2 - 2 days ago

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    Description

    Job Title: Data Analyst (Hybrid)
    Location: Toronto, ON
    Shift: 9:00 am - 5:00 pm

    Job Description:

    • Will be responsible for gathering, cleaning, analyzing, and interpreting data from various sources, including client databases, Nielsen, and POS data sets.
    • This role will involve supporting sales projects, ensuring data integrity, and providing valuable insights to stakeholders.

    Key Responsibilities:

    • Data Collection: Gather data from diverse sources, including databases, spreadsheets, and customer portals.
    • Data Cleaning: Prepare collected data for analysis by identifying and rectifying errors, handling missing data, and mapping data sets to the company hierarchies.
    • Data Analysis: Apply statistical and analytical techniques to interpret data, identify trends, and extract meaningful insights.
    • Project Support: Provide ongoing support to sales projects to maintain data integrity.
    • Reporting: Communicate findings and insights to stakeholders through reports, presentations, and dashboards.
    • Continuous Improvement: Stay updated on data analysis techniques and tools, identify opportunities to enhance analytical processes.

    Skills:

    • Analytical Skills: Ability to interpret complex data sets and draw meaningful conclusions.
    • Statistical Knowledge: Understanding of statistical methods, such as regression analysis and hypothesis testing.
    • Programming Skills: Proficiency in Python, R, or SQL for data analysis.
    • Data Visualization: Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib.
    • Problem-Solving Skills: Capacity to identify data-related problems and develop innovative solutions.
    • Domain Knowledge: Understanding of the industry or business domain.
    • Communication Skills: Ability to effectively communicate technical findings to non-technical stakeholders.
    • Attention to Detail: Thoroughness in data cleaning and analysis processes.
    • Teamwork: Collaboration with colleagues from different departments.

    Education & Qualifications:

    • Bachelor s degree in Data Science, Statistics, Computer Science, or related field.
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