Senior Data Analyst (Remote)
About The Position
What You’ll Do Design, build, and maintain 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
Requirements
- 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 Haves
- 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
Responsibilities
- Design, build, and maintain 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
