Data Analyst

2 weeks ago

Vancouver, Canada Springpod Full time

**About Us**:
Springpod was born from our desire to transform the way young people engage with employers and universities. We empower students to take control of their career paths by connecting them with leading employers and education providers. From work experience placements to apprenticeships and beyond, we are determined to help students discover their future careers - before they leave education. The use of data is pivotal at all levels at Springpod.

**Key Responsibilities**:

- Gather business requirements directly from key stakeholders
- Build data visualizations
- Contribute to data assets catalogs and documentation by using standards previously set
- Contribute to building Springpod’s analytical ecosystem following architecture principles set by the Data and Analytics area

**Experience**
- **Essential**
- Experience gathering business requirements from key stakeholders
- Experience performing data cleaning, preprocessing, and transformation tasks to ensure data quality and consistency
- Experience creating and following documentation guidelines and development best practices
- Experience implementing data lakes and data warehouses in cloud environments
- Familiarity with data quality concepts
- **Desirable**
- Experience working with user data, with student (13-18) data being beneficial
- Experience working across multiple stacks, include LAMP
- Basic knowledge and/or experience on ML/AI projects

**Knowledge**
- **Essential**
- Strong knowledge on a variety of BI reporting tools. Amazon Quicksight and Holistics are a bonus
- Proficiency in SQL
- Advanced data quality and data warehousing concepts
- **Desirable**
- Data security and privacy policies to ensure compliance with applicable laws and regulations
- Knowledge of early careers sector is a bonus
- Certifications in the Business Analysis field are valuable (IBAA-ECBA, etc.)
- Familiarity with Data Governance concepts

**Skills**
- ** Essential**
- Problem-solving and troubleshooting - You should be able to identify and resolve issues related to data processing, data quality, and data transfer
- Communication and collaboration - Effective communication and collaboration skills are essential for working with cross-functional teams and stakeholders, including data analysts, product managers, and other engineers
- Self-starter - You should be curious, eager to learn, and have a passion for solving complex data problems, with a high degree of autonomy
- Given his seniority, it is expected high level of autonomy and proactive collaboration

**Salary**: C$65k-C$75k

**Location**: Vancouver, Canada (Hybrid)

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