Senior Analytics Engineer - Remote, Equity & Impact

Super.com; United States; On-site; USD 118,000 - 170,000; Full time

Benefits offered by this job

Remote-First flexibility

Unlimited PTO

UberEats credits

Parental leave

Equity options

Wellness budget

Job summary

Super.com is seeking a Senior Analytics Engineer to elevate our data infrastructure, focusing on the finance domain. You will own end-to-end analytics tooling from ingestion to activation, ensuring data quality and availability for scalable reporting and analysis.

You will work with business, engineering, and analytics teams to promote best practices in data governance and to empower decision-making across the organization.

Qualifications

• 3+ years of work experience as an analytics engineer or full stack data analyst.
• Proficient in SQL with a focus on writing performant code.
• Strong data modeling experience and familiarity with dbt.
• Solid understanding of data warehouses and the modern data stack.
• Track record delivering projects with datasets that drive business outcomes.
• Experience building ELT and reverse-ETL pipelines; can design simple DAGs in Airflow.

Responsibilities

• Data-Driven Culture: shape data to facilitate analysis, insights, and decisions.
• Data Management: ingest, clean and organize raw data for the team.
• Project Management: lead data projects from ingestion to reporting.
• Collaborative Actualization: translate business needs into data schemas.
• Data Strategy: help shape the data model to advance analytics strategy.
• Teamwork: collaborate with stakeholders to improve processes.

Skills

SQL

Data modeling

ELT pipelines

Data warehousing

Python

Communication

Tools

dbt

Airflow

Python

Job description

Super.com is seeking a Senior Analytics Engineer to elevate our data infrastructure, focusing on the finance domain. You will own end-to-end analytics tooling from ingestion to activation, ensuring data quality and availability for scalable reporting and analysis.

You will work with business, engineering, and analytics teams to promote best practices in data governance and to empower decision-making across the organization.