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Über
analytics-focused data pipelines
using modern data stacks Develop and optimize
ELT / ETL workflows
to support analytics, BI, and experimentation Build reliable
data models and transformations
(e.g. dbt-style workflows) Partner with product, growth, and engineering teams to define
metrics, KPIs, and data standards Enable data-driven decision-making through
well-designed dashboards and analytics tools Improve
data quality, governance, and observability , including tracking and event design Automate manual analytics workflows and reduce operational overhead Contribute to analytics best practices, documentation, and internal enablement What We're Looking For 6+ years of experience in
data engineering, analytics engineering, or advanced data analytics Strong proficiency in
Python and SQL Hands-on experience with
modern data stacks , such as: Cloud data warehouses (BigQuery, Snowflake, Redshift, etc.) Workflow orchestration (Airflow or similar) Data modeling / transformation frameworks (e.g. dbt)
Solid understanding of
analytics systems , event tracking, and data modeling Experience building
business-facing analytics or BI solutions
(Looker, Power BI, Tableau, etc.) Ability to translate business questions into scalable data solutions Strong ownership mindset and ability to work independently in a remote environment Nice to Have Experience with
growth, marketing, or product analytics Background in
data governance, tracking design, or server-side analytics Experience building
analytics tools or internal data products Exposure to
event-driven architectures
or streaming systems
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.