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.

✖

Before you go further ...

or

Direct apply link!