Virtuous is hiring a
Analytics Engineer

Summary

Join Virtuous' expanding DataOps & Analytics Team as a highly motivated Analytics Engineer to design, develop, and maintain dashboards, reports, and visualizations that empower stakeholders to make data-informed decisions and drive business outcomes.

Requirements

• 3+ years experience as an Analytics Engineer, Business Analyst, Data Analyst or related role
• Proficiency in SQL and Python
• A drive to ask questions, challenge assumptions, and dig deeper into complex problems
• A passion for growth and continuous learning, driven by a desire to stay current on the latest technologies and best practices as an Analytics Engineer, and a commitment to ongoing professional development
• Independent, self-starter who thrives in a fast pace, collaborative work environment
• Proactive in seeking out opportunities to innovate and enhance processes through research and experimentation
• Strong discipline in validating data and ensuring data integrity throughout workflows, with a focus on quality, documentation and precision
• In-depth experience and expertise in data visualization tools such as Tableau, PowerBI, Sigma. , Mode, Looker or similar BI tooling
• Direct, proven experience with relational databases including MySQL and Azure SQL Server, and data warehouse models in Snowflake
• Experience with data integration, transformation, and version control platforms including Fivetran. , dbt. , GitHub. and similar technologies
• Knowledge of data governance and security best practices
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders

Responsibilities

• Design, develop, and maintain dashboards, reports, and visualizations that empower stakeholders to make data-informed decisions and drive business outcomes
• Develop and optimize data models to ensure clean, accurate, and reliable data for analytics, data science, and reporting needs
• Establish and maintain data documentation, validation processes, and quality checks to guarantee the accuracy and integrity of analytics outputs
• Collaborate with Sales, Marketing, Customer Experience, and other cross-functional teams to understand data needs, analyze trends, and provide insights to solve business challenges
• Monitor and optimize data pipelines and infrastructure to ensure efficient and scalable data processing
• Contribute to data governance initiatives by maintaining data definitions and ensuring the integrity, reliability, and privacy of company data
• Support the DataOps team in implementing security and privacy controls to ensure compliance with industry regulations and standards
• Proactively identify and implement improvements to data tooling, processes, and workflows to enhance communication, performance and scalability
• Collaborate with Data Engineering to ensure data infrastructure aligns with evolving business needs and technology stacks
• Stay current with industry trends and best practices in data engineering and analytics to continuously improve processes and tools

Benefits

• Market competitive pay leveraging Carta data
• Employee recognition through Bonusly (birthdays, anniversaries, achievements, etc.)
• 401(k) retirement plan with company matching- 50% match up to 6% of compensation after 90 days
• Unlimited PTO
• Supportive time off including paid volunteer days and company holidays
• Employer-contributed healthcare benefits, encompassing medical, dental, and vision coverage, with plans available for dependents and choices for Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA)
• 12 weeks primary parent leave, 4 weeks secondary parent leave - full pay (adoption as well)