Sales Operations Reporting & Analytics Specialist creating reports and dashboards for Springer Nature. Collaborating across teams to deliver operational improvements in the academic publishing industry.
About the role
- Data Analyst Intern supporting various projects in the Transportation/Supply Chain organization at CHS. Collaborating with business and IT professionals in a hybrid work environment.
Responsibilities
- Work closely with business stakeholders to understand their requirements and translate them into technical solutions.
- Communicate insights and findings effectively to non-technical stakeholders.
- Retrieve data from different sources (Snowflake, databases, APIs, spreadsheets, etc.).
- Clean, transform, and integrate data to create a unified dataset for analysis.
- Perform individual and business testing to ensure dataset accuracy.
- Design and build interactive dashboards/reports using tools such as Power BI and Dataiku.
- Ensure that visualizations are user-friendly and provide meaningful insights.
- Document data models, and BI solutions for future reference and maintenance.
- Regularly update and maintain existing BI solutions as per business requirements.
Requirements
- Currently a junior or senior enrolled in Business Analytics, MIS, Statistics, Mathematics, Economics, Business Administration, International Business, Supply Chain, or related degree.
- Training/Experience with Microsoft suite of tools – e.g. Teams, Outlook, Excel, Power Apps, Power Automate.
- Experience with Data visualization tools – e.g. Power BI or Tableau.
- Excellent communication skills, customer focus, strong analytical and problem-solving skills, self-motivated with confirmed leadership abilities, presentation skills, and ability to function in a team-oriented environment with resource and time constraints.
- A passion for customers, analytics, and product quality.
- Training/Experience with database management technologies in the data analytics context
- Training/Experience with DAX and SQL
- Technical writing skills & coding skills in languages such as Python, Spark or R
- Training/Experience in data science areas, such as time series analysis and forecasting.
- Training/Experience with Robotic Process Automation (RPA)
- Training/Experience in Lean and Agile methodologies
Benefits
- Compensation includes base wage
- 401(k) if eligibility requirements are met
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