The Role
We’re Tovala, a food-tech company reinventing home cooking to save consumers time. Through an innovative combination of hardware, software, and fresh food delivery, we make it incredibly simple for anyone to prepare and enjoy delicious, home-cooked meals without sacrificing time to do whatever matters to them. Through our superior technology, product experience and food quality, we have separated Tovala from the busy pack of other meal delivery businesses. In the process, we’ve amassed a loyal, rapidly growing following and our retention, product engagement and customer NPS are all best-in-class. We’ve raised over $100mm from great investors like Left Lane Capital, Origin Ventures, Y Combinator and Comcast Ventures and have invested strongly in building a unique culture that fosters growth, personal development and camaraderie.
At Tovala, we eat data for breakfast… along with our delicious biscuits. Our team is a small group of analysts and engineers who are passionate about helping teams across the Tovala organization make data-driven decisions. We are looking for an experienced Analytics Engineer to join our data team. This role will focus on designing, building, and maintaining data models that facilitate advanced data analysis, enabling data-driven decision-making across the company. The Analytics Engineer will sit on the data engineering team and collaborate closely with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and ready for analysis, with a specific focus on enhancing growth marketing efforts.
How you will spend your time at Tovala:
- Analytics Enablement: Build trusted, scalable data models that serve as a foundation for analysis across the company.
- Data Democratization: Increase data accessibility by organizing and surfacing key datasets for self-serve use by stakeholders.
- Insight Acceleration: Partner with analysts and decision-makers to enable faster, deeper insights by improving the usability and transparency of our data.
- Data Quality Assurance: Implement data quality checks and monitoring to ensure data accuracy, consistency, and integrity across all data systems.
- Documentation: Create and maintain comprehensive documentation for data models, pipelines, and processes to ensure knowledge sharing and maintainability.
- Monitoring and Troubleshooting: Monitor data systems for issues and troubleshoot problems as they arise, ensuring the reliability and efficiency of data collection and processing.
- Continuous Improvement: Stay informed about emerging trends and technologies in data engineering and analytics, applying this knowledge to enhance data modeling efforts.
- Knowledge Sharing: Participate in code reviews, documentation efforts, and knowledge-sharing activities to foster collaboration and continuous learning.
About you:
- You have 1-3 years of experience in analytics engineering, data engineering, data analytics, or a similar role.
- You have strong SQL programming skills and have experience working in a data warehouse environment (preferably Snowflake).
- You have a deep understanding of conceptual data modeling best practices.
- You have hands-on experience with dbt.
- You have strong communication skills and the ability to collaborate with teams to translate business needs into scalable data models.
- You have experience with data validation, testing, and ensuring high data quality.(Nice to have).
- You have experience with version control. (Nice to have).
- You have experience with data visualization tools (e.g., Sigma, Tableau, Power BI).(Nice to have)
- You have familiarity with marketing data and segments, including CRM, attribution, and campaign performance metrics.
The values that we hold dear:
- Put the Team First- we operate with resolve and humility to do what’s best for the broader team
- Get S#!t Done (Well)- We celebrate all employees for delivering high-impact work
- Connect the Dots- We engage with curiosity to learn how our work impacts others at the company
- Be Direct- We share our perspective openly and directly, even when it’s difficult
- Embrace the Obstacles- We rise to meet challenges with a sense of urgency, resolve, and optimism
- Champion the Customer- We prioritize our customer in all of our decisions
The values we hold dear
Put the team first
We put what is best for the broader team ahead of what is best for ourselves or our immediate department.
Get s#!t done (well)
We celebrate people at all levels for delivering high impact work that expands the bounds of what we’re able to do.
Connect the dots
We engage with curiosity to learn how our work impacts others so that we can problem-solve holistically and work collaboratively.
Be Direct
We share our perspective openly and directly, even when it feels difficult to do so.
Embrace the obstacles
We rise to meet challenges with a sense of urgency, resolve, and optimism.
Champion the customer
We consider and prioritize our customer in all of our decisions
At Tovala we‘re committed to building a workplace that represents a variety of backgrounds, skills, and perspectives and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Everyone is welcome here!
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The Company
What We Do
We're Tovala, a food-tech company completely reinventing how people eat & live.
Through an innovative combination of hardware, software, and food creation, we give our customers a way to enjoy really good, good-for-you meals without sacrificing time to do the things that matter to them. We've amassed a loyal, rapidly growing following in just a few years, radically changing the day-to-day lives of people across the country and successfully creating a new model for the food industry.
Why Work With Us
The heart of Tovala is an ever-growing community of passionate, unique, culture-centric teammates from all different backgrounds and industries working together to make the magic happen. We're looking for great people to join our team of hard-working, fun-loving, food-focused folks who bring their full selves to work every day.
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