Junior Analytics Engineer
Junior Analytics Engineer
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1 Vacancy
Job Description
Job Summary
Were looking for a talented Junior Analytics Engineer to help us turn raw data into actionable insights. Youll play a key role in building and maintaining ELT pipelines modeling data and defining metrics that drive business decisions. If youre passionate about data and eager to learn wed love to have you on board!
Key Responsibilities
- Build test and maintain scalable data models and transformations (e.g. dbt) for analytics and BI use cases.
- Develop and support ELT pipelines from various sources (product marketing finance) into the data warehouse.
- Define document and operationalize business metrics and semantic layers in collaboration with stakeholders.
- Create and maintain data quality tests; monitor and resolve data issues and pipeline incidents.
- Contribute to BI development (e.g. Looker Tableau Power BI): build datasets explores dashboards and semantic definitions.
- Optimize query and model performance and manage warehouse cost/efficiency.
- Write clear documentation for datasets models metrics and data lineage; contribute to the data catalog.
- Use version control (Git) and CI/CD to ensure reliable reviewable analytics code.
- Partner with analytics product and engineering teams to translate requirements into data solutions.
- Support ad hoc inquiries by guiding teams to the right certified data assets.
- Follow data governance privacy and security practices; help enforce naming and modeling standards.
- Participate in sprint ceremonies code reviews and continuous improvement of analytics engineering practices.
Skills
- Excellent foundational knowledge of SQL and data modeling (dimensional/star schemas slowly changing dimensions).
- Proficiency with contemporary ELT workflows and DBT (core or cloud).
- Knowledge of at least one cloud data warehouse such as Databricks SQL BigQuery Redshift or Snowflake.
- Proficiency with Git/GitHub or GitLab; proficiency with basic Python for data jobs and tooling.
- Experience with CI/CD and orchestration (Airflow Dagster dbt Cloud tasks or comparable).
- Understanding of observability principles and data quality testing (dbt tests Great Expectations).
- Proficiency with BI tools and metrics layers such as Tableau Power BI Looker/LookML and dbt metrics.
- Knowledge of APIs and event/data gathering tools (such as Segment and Snowplow).
- A learning attitude analytical problem-solving skills and meticulousness.
- The capacity to manage work set priorities and deliver in a fast-paced setting.
Education and Experience
- Bachelors degree in a quantitative field (e.g. Computer Science Data Science Engineering Statistics) or equivalent practical experience.
- 02 years of experience in analytics engineering data analytics or data engineering; internships or projects welcome.
- Hands-on experience with SQL and a modern data stack project (e.g. dbt Snowflake/BigQuery/Redshift).
- Experience building dashboards or datasets in a BI tool.
- Nice to have: Python for data workflows; LookML/dbt certifications; exposure to Airflow/Dagster; privacy and compliance basics (GDPR/CCPA).
Annual Salary
- Expected base salary range: USD $70000$120000 depending on location skills and experience. Candidates in higher cost-of-living markets may fall toward the upper end of the range. Exact compensation will be determined during the interview process.
Compensation & Benefits
- Performance Bonus: 5-10% of base salary
- Equity/Stock Options: Eligibility available
- Comprehensive Health Benefits: Medical dental vision coverage
- Retirement Plan: Company match (e.g. 401(k))
- Paid Time Off: Generous vacation holidays sick leave
- Paid parental leave and benefits
- Annual development budget for courses certifications conferences
- Wellness: Home office stipend equipment mental health resources
If youre excited to build reliable analytics foundations and learn from a collaborative data team wed love to hear from you. Apply with your resume links to projects or a portfolio and a brief note on why this role interests you.
We are unfortunately unable to consider candidates residing outside of US territories for this position.
Employment Type
Full Time
