Docker, Inc · 9 hours ago

Staff Data Analyst

United States

Full-time

Remote

Senior Level, Lead/Staff

5+ years exp

Maximize your interview chances

Developer PlatformDeveloper Tools

Comp. & Benefits

No H1B

Insider Connection @Docker, Inc

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Lead data initiatives by designing, developing, and optimizing data models and reporting structures that support the organization’s strategic objectives.

Conduct advanced data analysis, leveraging tools like Snowflake, DBT, and SQL to ensure accuracy, consistency, and actionable insights across various data sources.

Develop and maintain scalable, robust data models that enable both real-time and ad-hoc analysis, driving key business decisions.

Create, manage, and optimize dashboards and reports using Looker, providing stakeholders with clear, actionable insights.

Partner closely with business teams, data engineers, and leadership to understand and meet data needs, aligning data initiatives with broader business goals.

Provide mentorship to other analysts, fostering professional growth and encouraging best practices across the team.

Drive data quality initiatives, identifying and resolving inconsistencies while defining best practices for data governance.

Continuously refine and enhance data models, reporting pipelines, and processes to support evolving business needs and ensure scalability.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLData WarehousingETL/ELT ProcessesSnowflakeDBTLookerData AnalysisBusiness IntelligenceData GovernanceTeam Development

Required

5+ years of experience in data analysis, business intelligence, or a related field, with a proven ability to deliver impactful data solutions in fast-paced environments.

Advanced proficiency in SQL and strong experience with data warehousing and ETL/ELT processes.

Strong analytical thinking with the ability to interpret data, identify trends, and generate actionable insights to inform business decisions.

Exceptional communication skills, with the ability to distill complex technical concepts for both technical and non-technical audiences.

Experience mentoring junior team members and contributing to team development.

Bachelor’s or Master’s degree in a relevant field such as Data Science, Computer Science, Statistics, Economics, or Mathematics.

A meticulous approach to data, ensuring accuracy and reliability in all deliverables, while maintaining a high standard of data quality.