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.