Role Overview
The Junior Data Consultant/Analyst is responsible for supporting end-to-end data analysis activities, from initial collection to final stakeholder reporting. This role focuses on transforming raw data into actionable business insights through advanced spreadsheet modeling and emerging data automation tools.
Key Responsibilities
- Data Preparation & Cleaning: Identify, extract, and clean data from diverse sources including spreadsheets and internal databases to ensure accuracy and consistency.
- Advanced Analysis: Utilize statistical techniques to detect trends, patterns, and correlations within large datasets to support organizational goals.
- Consulting & Collaboration: Work with cross-functional teams to define business problems, track key performance indicators (KPIs), and recommend process improvements.
- Reporting & Visualization: Develop structured reports, interactive dashboards, and visual presentations to communicate findings clearly to non-technical stakeholders.
- System Maintenance: Assist in the upkeep and documentation of data collection systems and databases to maintain data integrity.
Technical Requirements
- Advanced Excel (Must-Have): High proficiency in complex formulas (e.g., XLOOKUP, INDEX/MATCH), PivotTables, and data modeling is essential for daily analysis tasks.
- Preferred Tools (Pluses):
- SQL: Ability to write queries to extract and manage data from relational databases.
- Python: Experience with libraries like Pandas and NumPy for data manipulation and automation.
- Alteryx: Hands-on experience creating automated workflows for data wrangling and ETL processes.
- Education: Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or Information Management.
