Analytics Engineer

We are looking for an Analytics Engineer to join our internal Data & Analytics team at Sago – a leader in executing marketing research projects. In this role, you will collaborate closely with stakeholders across the organization to translate business needs into data solutions. You’ll help build and support reporting workflows, improve data processes, and make our internal analytics tools more efficient and reliable.

This is an ideal role for someone who is a few years into their data career and eager to grow in a hands-on environment. If you have a strong foundation in Excel, SQL, and Python, and a passion for making data more accessible and impactful, we’d love to meet you.

Key Responsibilities

• Partner with internal stakeholders to gather requirements and translate them into repeatable, stable analytics solutions
• 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
• After an initial onboarding period, independently own analytics projects from request to delivery

Requirements

• Fluent/native English communication skills (written & verbal); must be comfortable speaking with non-technical stakeholders
• 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
• 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)

Nice-to-Haves

• Exposure to orchestration tools like Airflow
• Knowledge of Data Lake/Lakehouse architectures
• Familiarity with columnar data storage like Parquet, Delta Lake, Iceberg, etc…
• Understanding of Git and version control best practices

Why Join Us?

• Opportunity to grow into a more senior data engineering or analytics role with mentorship and additional training
• Supportive team culture that values curiosity and continuous learning
• A chance to flex your creativity with POC (proof-of-concept) projects that often require inventive problem solving to resolve product and engineering gaps and meet immediate business needs
• Chance to work across a wide range of business domains and contribute to meaningful impact