Akkodis is hiring for an remote entry level Data Analyst role in US

Position:

• Job Title: Data Analyst

Company:

• Employer: Akkodis

Location:

• City: Minneapolis
• State: Minnesota
• Work Setting: Remote

Job Type:

• Employment Type: Full-time / Permanent

Job Mode:

• Work Mode: Remote

Job Requisition ID:

• Requisition Number: Not mentioned

Years of Experience:

• Required Experience: 0-3 years
  

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Company Description:

• About Akkodis:
  • Akkodis is a global leader in digital engineering and a pioneer in Smart Industry solutions.
  • With a robust workforce of 50,000 experts, Akkodis operates across 30 countries, bringing together expertise in technology and engineering.
  • The company offers innovative solutions in mobility, software and technology services, robotics, simulations, AI, data analytics, and data security.
  • Akkodis aims to revolutionize clients' business processes, drive digital transformation, and build a smarter, sustainable future.
  • The company provides end-to-end solutions through its four service lines: Consulting, Solutions, Talents, and Academy.
  • Akkodis is a part of the Adecco Group, a renowned leader in talent management and technology solutions.

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Profile Overview:

• Role Purpose:

  • The Data Analyst will be integral to Akkodis’ Data and Analytics department, helping transform raw data into actionable insights for strategic decision-making.
  • This role involves handling large volumes of data from the data lake, creating user-friendly self-service analytics solutions, and delivering data insights for internal teams and external healthcare technology clients.
  • As a key contributor, the Data Analyst will work in an agile environment, bridging technical solutions with business needs.

• Key Responsibilities:

  • Data Solutions Development: Design and implement data analytic solutions from conceptualization to deployment.
  • Lifecycle Involvement: Participate in the full development lifecycle, including requirement gathering, data profiling, and deploying solutions.
  • Collaboration: Work closely with cross-functional teams to ensure proper backend data structures and seamless reporting functionality.
  • Operational Support: Maintain and troubleshoot reporting solutions while supporting upgrades and configurations for BI tools.
  • Documentation: Create and maintain comprehensive documentation for reporting solutions.
  • Innovation: Contribute to continuous improvement by evaluating new technologies and proposing innovative solutions.
  • Leadership: Mentor junior data analysts and foster industry best practices in data management and analytics.
  • Governance Compliance: Adhere to company-wide data governance policies and standards.

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Qualifications:

• Required Skills and Experience:

  • Education: Bachelor’s degree in Business Analytics, Data Science, Computer Science, Applied Mathematics, or equivalent field experience.
  • Technical Expertise:
    • Proficient in SQL and data visualization tools like Tableau, Looker Studio, or Power BI.
    • Strong understanding of data structures, algorithms, and statistical methodologies.
    • Fluency in programming languages such as Python or R.
  • Systems and Tools:
    • Experience with relational databases (e.g., Oracle, SQL Server) and Hadoop tools (Hive, Impala).
    • Familiarity with Data Lake, Data Warehouse, and BI analytic concepts.
  • Soft Skills:
    • Excellent verbal and written communication skills for conveying complex data insights to stakeholders.
    • Ability to prioritize tasks and manage multiple projects efficiently.

• Preferred Skills:

  • Experience in data modeling and design.
  • Familiarity with cloud-based platforms like GCP.
  • Knowledge of workflow automation tools such as Airflow.
  • Exposure to healthcare data and user acceptance testing (UAT) in agile environments.

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Additional Info:

• Role Highlights:

  • Opportunity to work with cutting-edge technologies and contribute to significant business transformations.
  • Support and mentorship opportunities to develop junior team members.
  • Involvement in building self-service tools to automate data collection processes.

• Compensation and Benefits:

  • Salary Range: $100,000–$105,000 annually (negotiable based on experience, education, and other factors).
  • Benefits:
    • 401(k) retirement plan with a company match.
    • Comprehensive medical insurance coverage.
    • Paid holidays off.

• Work Environment:

  • Remote working environment fostering flexibility and work-life balance.
  • Collaborative and innovative workplace culture.

Please click here to apply.

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