Company Name: A5 Labs

Job Details: RemoteContract

Job Url: https://hiring.cafe/viewjob/c02b5cyp2z6pjkn0

Job Description: Posted 15h agoSenior Data Analyst (Remote)@ A5 LabsView All JobsUnited StatesRemoteContractResponsibilities:Design pipelines, Build dashboards, Improve data qualityRequirements Summary:6+ years in data engineering/analytics; strong Python and SQL; experience with modern data stacks; BI tools; data modeling; data quality and governance; remote work.Technical Tools Mentioned:Python, SQL, BigQuery, Snowflake, Redshift, Airflow, dbt, Looker, Power BI, Tableau
What You’ll DoDesign, build, and maintain analytics-focused data pipelines using modern data stacksDevelop and optimize ELT / ETL workflows to support analytics, BI, and experimentationBuild reliable data models and transformations (e.g. dbt-style workflows)Partner with product, growth, and engineering teams to define metrics, KPIs, and data standardsEnable data-driven decision-making through well-designed dashboards and analytics toolsImprove data quality, governance, and observability, including tracking and event designAutomate manual analytics workflows and reduce operational overheadContribute to analytics best practices, documentation, and internal enablementWhat We’re Looking For6+ years of experience in data engineering, analytics engineering, or advanced data analyticsStrong proficiency in Python and SQLHands-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 modelingExperience building business-facing analytics or BI solutions (Looker, Power BI, Tableau, etc.)Ability to translate business questions into scalable data solutionsStrong ownership mindset and ability to work independently in a remote environmentNice to HaveExperience with growth, marketing, or product analyticsBackground in data governance, tracking design, or server-side analyticsExperience building analytics tools or internal data productsExposure to event-driven architectures or streaming systems