Sago is looking for an Analytics Engineer to build and support reporting workflows, improve data processes, and make internal analytics tools more efficient and reliable.
Requirements
- Strong power query and excel skills (pivot tables, complex formulas, data validation, automation, etc..)
- Intermediate proficiency in SQL
- Beginner to intermediate proficiency in Python
- Comfortable working with structured and semi-structured data from a variety of sources
- Familiarity with notebook-based environments such as Jupyter, Hex, or SageMaker
- Experience with business intelligence tools like Superset, Power BI, Tableau, etc..
- Basic understanding of Data Governance and Data Modeling concepts and best practices
Responsibilities
- Maintain, update, and build SQL-based datasets and dashboards in collaboration with other data team members
- Assist in automating data cleaning, transformation, and Excel-based workflows using Python and other tools
- Support and troubleshoot stakeholder issues related to existing datasets in our data lake and data platforms
- Document data definitions, reporting logic, and analytics processes clearly and consistently
- Identify opportunities to streamline or improve existing, manual analytics tasks
- Partner with internal stakeholders to gather requirements and translate them into repeatable, stable analytics solutions
- Independently own analytics projects from request to delivery
Other
- Fluent/native English communication skills (written & verbal); must be comfortable speaking with non-technical stakeholders
- Comfortable learning new tools and platforms used for data modeling, reporting and orchestration
- Passion for improving and automating business and analytics processes
- A degree is not required - we welcome candidates with certifications or bootcamp training in data, analytics, or engineering (or equivalent on-the-job experience)
- Opportunity to grow into a more senior data engineering or analytics role with mentorship and additional training
