Prototyping analytical tools developed by the engineering and analytics teams for Clir Renewables. Collaborating on automation scripts and methods for renewable energy analysts.
About the role
- Senior Analytics Developer at SOCi developing data pipelines and analytic products for AI-powered marketing solutions. Collaborating with teams to ensure data quality and business insights.
Responsibilities
- Own the relationship with one or more business team stakeholders for the data team.
- Collaborate with business teams to identify, document and develop analytic solutions.
- Collaborate with data analysts, engineers and other stakeholders on data lake models.
- Develop and maintain data pipelines collecting data from various source systems.
- Develop and maintain data model transformations for use in analytic models.
- Ensure data accuracy, quality and consistency with monitoring and validation processes.
- Maintain our data catalog, and document data pipelines, transformations and models.
- Monitor, and respond to production incidents in the data lake.
- Optimize queries, and data engineering activities for performance and cost.
- Assist in implementing data governance and security best practices.
- Document processes, workflows, and data definitions to support knowledge sharing.
- Guide user story breakdown sessions, and contribute to quarterly planning sessions.
- Provide mentorship and coaching to junior Analytics Developers.
- Be willing to adapt to changes in the job description as necessary by the business and accept all other duties as assigned.
Requirements
- 5+ years of experience working with cloud based data platforms (Airflow, FiveTran, Stitch, etc.)
- Expert-level proficiency in SQL and hands-on experience with cloud-based data warehouse platforms (e.g., Snowflake, Redshift, BigQuery).
- Proficiency and working experience in Python.
- Proficiency building transformations and data models using declarative programming (dbt, Snowflake Dynamic Tables, SQLMesh).
- Strong knowledge of data modeling, schema design, and data governance principles.
- Experience with “Data Hub” or equivalent open source data catalog platform is a plus.
- Demonstrated experience optimizing performance and managing complex datasets.
- Excellent leadership and communication skills, with a proven ability to mentor and guide team members.
Benefits
- Health insurance plans, dental, and vision
- Wellness incentives
- 401(k) plan with employer match
- Flexible paid time off
- Quarterly wellness days
- Paid holidays
- Unique employee engagement programs
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
AI & Analytics Engineer I at Finning tasked with developing data models and AI agents. Collaborating with senior engineers and supporting Analytics Engineering initiatives.
Analytics Engineer at Trulioo focusing on building Python applications for analytics. Collaborating with data teams to automate reporting and enhance data accessibility.
Analytics Engineer leveraging data to enhance business operations at Tailscale. Collaborating with diverse teams to deliver scalable data solutions.
Guidewire ETL Developer creating and enhancing data pipelines using advanced SQL. Working on Data Migration projects with Guidewire modules.
Staff Analytics Engineer developing AI growth solutions for real estate professionals at Luxury Presence. Collaborating on high - impact analytics initiatives and shaping innovative products in a fast - paced environment.
Senior Analytics Engineer at Caribou optimizing data models and building dashboards for home care operations. Collaborating across teams to enhance data quality and facilitate decision - making.
BI & Analytics Developer transforming raw data into business insights for decision - making at PCL Constructors. Focused on reporting, analytics, and ETL development.
Data and Analytics Engineering Manager focusing on designing AI - driven data solutions for clients. Collaborating with teams to enhance data engineering processes and tools.
Analytics Engineer transforming data into trusted insights for mobile app growth. Collaborating with various teams to ensure accurate KPIs and building data infrastructure.