Analytics Engineer
Machinify- Full Time
- Mid-level (3 to 4 years)
The ideal candidate should possess 3+ years of experience as an analytics engineer, data engineer, or business intelligence engineer, with at least 1+ years of experience developing in dbt, preferably within a B2B SaaS company. Proficiency in SQL is essential, along with prior experience in data modeling, ETL/ELT development principles, and data warehousing concepts. Familiarity with tools such as Segment, Fivetran, BigQuery, dbt, Looker, and Airflow is preferred.
As an Analytics Engineer, you will be responsible for designing and maintaining data transformations to ensure accurate, scalable, and high-quality datasets, unifying metrics and definitions across the data warehouse and BI tools, and partnering with Data Engineering to manage the data stack. You will also champion data privacy and quality by implementing governance processes and compliance measures, and working with analytics, data science, data engineering, and data-savvy business stakeholders to design reliable and consistent datasets for business intelligence.
Digital platform for automating contract management
Ironclad is a digital contracting platform that simplifies and automates the entire contract lifecycle for legal teams in large enterprises and fast-growing companies. The platform allows users to create, automate, and track contracts in a straightforward manner, making it easier for legal departments to handle high-volume contracts efficiently. Unlike traditional contract management systems, Ironclad's user-friendly interface reduces complexity and enhances collaboration within legal teams, enabling them to focus on business growth. The company operates on a subscription-based model, offering various tiers that cater to different business needs, ensuring a steady income stream while providing ongoing support and updates. Ironclad's goal is to transform contract management by streamlining processes and improving connectivity within legal departments.