[Hiring] Analytics Engineer @Addi
Apr 05, 2025 - Addi is hiring a remote Analytics Engineer. 💸 Salary: unspecified. 📍Location: Latin America (LATAM).
Role Description
This role involves transforming raw data into reliable, accessible, and actionable insights that empower business teams to make better decisions. This person will act as a bridge between data and the business, building and maintaining scalable analytics workflows while pushing forward strategic data initiatives and promoting data stewardship across the organization.
- Gain full understanding of Addi’s data ecosystem within the first 90 days, including event structures, transactional systems, and data from third-party tools.
- Participate in code reviews (PRs) and contribute to decisions about data quality, consistency, and business impact.
- Deliver high-quality dashboards and reports to business stakeholders, ensuring alignment with decision-making needs.
- Ensure usage and data freshness for key reports across at least 2 business units within the first 6 months.
- Handle ad-hoc business requests and operational support, resolving issues through alerts, runbooks, and support channels.
- Participate in on-call rotations and document solutions to common data problems.
- Lead at least one cross-functional data initiative during the first six months that improves business visibility, operational efficiency, or data governance.
Qualifications
- Strong SQL skills for querying, transforming, and validating large datasets.
- Proficiency with basic Python, especially for scripting or automating data workflows.
- Familiarity with Git and collaborative version control workflows.
- Experience designing and implementing data models (datamarts, etc.).
- Understanding of ETL/ELT tools and orchestration frameworks such as DBT, Airflow, Talend or others.
- Experience with data warehouses (Databricks, Snowflake, Redshift, GCP).
- Experience working with unstructured data.
- Proficiency with at least one data visualization tool such as Looker, Tableau, Power BI, or Preset.
- Demonstrated ability to understand business needs and translate them into technical requirements.
- English is a must.
- Ability to prioritize tasks and manage expectations in a fast-paced, dynamic environment.
- Skilled at communicating clearly with both technical and non-technical stakeholders, supporting decision-making with data insights.
- Commitment to data quality, consistency, and documentation.
- Experience following and promoting best practices in testing, validation, and monitoring of data products.
- Ability to take ownership of initiatives, push for improvements, and work independently when needed.
Requirements
- Exposure to cloud platforms (AWS, GCP, or Azure).
- Understanding of data governance and data quality frameworks.
- Familiarity with big data tools such as Spark.
- Basic understanding of statistics or ML.
How the hiring process looks like
We believe in a fast, transparent, and engaging hiring experience that allows both you and us to determine if there's a great fit. Here’s what our process looks like:
- Step 1: People Interview (30 min) - A conversation with a recruiter or hiring manager to get to know you, your experience, and what you're looking for.
- Step 2: Initial Interview (60 min) - A more in-depth conversation with the hiring manager and analytics engineer, where we explore your skills, experience, and problem-solving approach.
- Step 3: Technical Assessment (60 min) - You’ll work through a practical challenge during the interview.
- Step 4: Deep Dive Interviews (20-30 min each) - You'll meet future colleagues and cross-functional team members.
- Step 5: Co-Founder Interview - If there’s a strong match, you’ll have a final conversation with our Founder.
We value efficiency and respect for your time, so we aim to complete the process as quickly as possible. Our goal is to make this experience insightful and exciting for you, just as much as it is for us. Regardless of the outcome, we are committed to always providing feedback, ensuring that you walk away with valuable insights from your experience with us.
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| 📍 | Be aware of the location restriction for this remote position: Latin America (LATAM) |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
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Salary
💸
unspecified
|
Remote
Location
Latin America (LATAM)
|
|
Job Type
full-time
|
Posted
Apr 05, 2025
|
| 📍 | Be aware of the location restriction for this remote position: Latin America (LATAM) |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
