Data Analyst supporting supply chain risk management for federal agencies. Focusing on data analysis and mitigation strategies in a collaborative team environment.
About the role
- Data Analyst conducting and presenting analyses of data to drive decision-making at Kami's leading digital classroom platform for over 70 million users.
Responsibilities
- Collect, clean and analyse data from various sources, including app usage, user feedback, and external data sources, to identify trends and patterns in student learning and app usage and to monitor performance for company goals.
- Contribute to data models based on transformations of raw data to be building blocks that enable educational and business insights.
- Assist with the development of bespoke internal tools or other data engineering tasks from time to time, as needed by current business priorities.
- Prototype and develop reports for educators to help them understand their and their students’ performance, progress and challenges.
- Communicate insights and findings clearly and informatively to relevant internal and external stakeholders.
- Collaborate with a wide range of team members including data engineering, sales, marketing and customer success, to understand requirements for data analyses.
- Follow, implement and make recommendations on data governance policies and procedures.
- Continually improve relevant knowledge and skills in programming, statistics, analytics tools and other common data practices.
- Stay up to date with industry trends, data technologies and education technology, and recommend improvements to the company’s data systems.
Requirements
- A bachelor’s degree or equivalent, and at least three years’ experience in a heavily quantitative discipline including programming experience
- Extensive expertise in tools and techniques in statistics and data analytics
- Advanced coding proficiency in SQL, and in technical computing languages such as Python, Julia, R and/or Stata with libraries relevant to data analytics (e.g. dataframes)
- Excellent command of using writing and data visualisation to present analytics findings with clarity and insight
- Extensive expertise in data cleaning, manipulation and transformation methods
- Ability to analyse complex problems and break them down into smaller components to facilitate defining clear specifications
- Excellent communication skills to work effectively with teams across the business and distil project requirements from stakeholder requests
- Strategic thinking and ability to contribute to the long-term data vision of the business
Benefits
- Continuous learning and development opportunities, including subsidised course fees, certifications, conferences, and free access to Udemy and more
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