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KellyMitchell Group is hiring for an entry level Data Anlayst role in US



Position:

  • Title: Data Analyst Level 1

Company:

  • Name: Not disclosed (Client company of KellyMitchell)

Location:

  • City: Cincinnati, Ohio, US

Job Type:

  • Type: Contract to Hire

Job Mode:

  • Mode: On-site (unless specified otherwise)

Job Requisition ID:

  • ID: 132492

Years of Experience:

  • Not explicitly mentioned; relevant experience with listed skills and tools is expected.

Company Description:

  • A dynamic organization committed to leveraging data to optimize retail operations.
  • Partners with stakeholders, third-party vendors, and internal teams to transform business processes using data-driven insights.
  • Focused on maintaining high data quality standards, ensuring accessibility and reliability of information for decision-making.
  • Operates within the realm of business intelligence, emphasizing predictive analytics and visualization.
  • Strives to create agile workflows that enhance operational efficiency and adaptability.
  • Encourages a collaborative environment that bridges multiple teams to achieve cohesive project outcomes.
  • Dedicated to professional growth by offering exposure to advanced analytical tools and methodologies.
  • Aims to provide employees with a supportive work culture and competitive benefits to ensure career satisfaction.

Profile Overview:

  • The Data Analyst Level 1 will specialize in collecting and analyzing retail operations data.
  • Tasked with data extraction from diverse databases, platforms, and third-party vendors for actionable insights.
  • Responsible for data wrangling, exploratory analysis, and predictive modeling to inform retail strategies.
  • Plays a critical role in standardizing data processes, improving quality, and automating repetitive workflows.
  • Collaborates with cross-functional teams, contributing to system testing and project implementations.
  • Operates within an agile project framework to ensure timely delivery of high-quality outputs.
  • Required to possess strong problem-solving skills to address data-related challenges effectively.
  • Must be skilled in Power BI, R, Python, and associated tools to design intuitive visualizations and enhance user experiences.
  • Encouraged to innovate and contribute to enhancing the organization's analytical capabilities.

Qualifications:

  • Technical Expertise:

    • Proficiency in R for:
      • Data cleaning and preparation.
      • Performing complex calculations on large datasets.
      • Conducting exploratory data analysis.
    • Skilled in Python for scripting and analytical tasks.
    • Extensive experience with Power BI, including:
      • Creating dashboards and reports.
      • Utilizing Power Query for data transformation.
      • Implementing Dataflows and Row-Level Security (RLS).
      • Writing advanced measures using DAX.
    • Strong visualization skills with a focus on usability and user experience.

  • Professional Skills:

    • Ability to standardize and enhance data processes.
    • Competence in automating workflows to improve efficiency.
    • Strong problem-solving capabilities to investigate and resolve data-related issues.
    • Collaboration in agile projects, actively engaging across multiple teams.
    • Experience in contributing to system testing and program increment meetings.

  • Desirable Traits:

    • A detail-oriented mindset.
    • Passion for leveraging data to drive business success.
    • Ability to thrive in a fast-paced, collaborative environment.

Additional Info:

  • Work Environment:

    • Opportunities to work in a collaborative and innovative setting.
    • Encouraged to adopt agile practices and contribute to team success.

  • Benefits Offered:

    • Comprehensive Medical, Dental, and Vision insurance plans.
    • Access to a 401(k) retirement savings plan.

  • Growth Opportunities:

    • Exposure to cutting-edge tools like Power BI, Python, and R.
    • Continuous learning through involvement in advanced analytics projects.
    • Collaboration with diverse teams for holistic professional development.

  • Job Expectations:

    • Regularly participate in system testing and validation phases.
    • Contribute to program increment meetings to plan and execute tasks.
    • Assist in implementing automation processes to streamline data workflows.
    • Enhance reporting and analytics capabilities to drive operational efficiency.

This role provides a rewarding opportunity for individuals passionate about data analytics and business intelligence, aiming to make impactful contributions to retail operations.

Please click here to apply.

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