Highlight
New York
2-10 employees
Highlight provides next-gen in-home product testing via mailer boxes. Leveraging tech to offer agile, targeted, robust product insights.
Prior Listings
Analytics Engineer
Analytics Engineer
About Highlight
Highlight is a women-owned, minority-owned startup that’s growing to work with innovation and insights teams at companies like P&G, Mondelez, Nestle, Pepsi, Mars, and more. Highlight has brought together a community of brands and consumers that are united in their mission to create better products for all, and democratized access to data for both emerging and enterprise brands. Highlight exists to revolutionize product intelligence and in turn, build better products for all. We streamline everything from recruit to data set, including all the logistics of getting your product to your target customers.
As a rapidly scaling company, we move fast and experiment often. Our analytics function is strategically important for superior decision-making at every level, empowering the company with the information needed and transparency to make great decisions. We focus on comprehensive reporting across Finance, Product, Marketing, Operations, and Sales to drive our growth and operational excellence.
Role Overview
As a Senior Analyst at Highlight, you will support and empower business stakeholders to drive key outcomes and make strategic decisions through measurement and data-led insights. You’ll work closely with the executive team and cross-functional leaders across all functions.
As part of a small data/analytics team, we will look to the person to create scalable reporting and foster a broad data-fluent culture to support the company. To thrive in this role, you must enjoy cross-functional and collaborative work, and finding elegant, simple solutions distilled from complex inputs and perspectives.
Key Responsibilities
- Reporting & Visualization
- Develop and maintain key reports used for quarterly board meetings and monthly business reviews using Looker and LookML.
- Create and manage data models in dbt to ensure reliable and scalable data pipelines.
- Integrate and analyze CRM data from HubSpot to support Finance, Product, Marketing, Operations, and Accounting reporting needs.
- Data Engineering & Management
- Work with Snowflake and Postgres databases to gather, process, and analyze large datasets.
- Utilize ETL tools like Fivetran to integrate data from various sources, including HubSpot, into the data warehouse.
- Manage and optimize data flows between HubSpot and other systems to ensure data integrity and availability.
- Analytics & Insights
- Generate actionable insights for special projects and initiatives, supporting cross-functional teams in Finance, Product, Marketing, Sales, Operations, and Sales.
- Proactively identify data needs related to CRM and other key business areas and implement solutions to enhance reporting capabilities.
- Collaboration & Communication
- Collaborate with stakeholders across the company to ensure data accuracy and integrity.
- Present data findings and recommendations to stakeholders in a clear, concise manner.
- Empower the rest of the company to become more data-fluent through training and support, particularly in leveraging HubSpot data for reporting.
Key Qualifications
- At least 3 years working in a business analyst, product analyst, or analytics engineering role at a SaaS company.
- 1+ year of experience with dbt for data modeling
- Expert SQL skills.
- At least 1 year of experience working with Looker and LookML.
- Proficient with Snowflake and Postgres databases.
- Experience with dbt for data modeling.
- Familiarity with ETL tools like Fivetran.
- Experience with HubSpot CRM and integrating its data into analytics workflows.
- Experience with version control using GitHub.
- Knowledge of AWS services.
- Strong attention to detail and ability to work in a fast-paced, agile environment.
- Excellent communication skills.
- Proactive self-starter with the ability to work independently and collaboratively.
Nice to Have Qualifications
- Experience with Python for data analysis.
- Familiarity with the Modern Data Stack concepts and dimensional modeling.
- Experience with additional BI tools or data visualization platforms.
Our Data Stack
- Fivetran
- dbt
- Snowflake
- Looker
- Pendo
- Datadog
- HubSpot
- Quickbooks
- Airtable
- Google Sheets
- Amazon RDS/Aurora for PostgreSQL
- GitHub
$110,000 - $145,000 a year
You do not need to match every listed expectation to apply for this position. At Highlight, we know that diverse perspectives foster the innovation we need to be successful. We are committed to building a team that comes from a wide range of backgrounds - including but not limited to - race, age, sexual orientation, gender identity and expression, national origin, religion, disability, and veteran status. If you’re someone who can think rigorously and isn’t afraid to challenge assumptions, join us.
We've built a world-class team with decades of experience in the space. We’ve encountered the problems we’re trying to solve first hand and care deeply about making better products. We’ve been fortunate to raise a seed round from First Round Capital as well as experienced angels and insiders to help us further our mission. We’re also a passionate, capable, and empathetic team who live by our Humans First value. We have fun, we care about one another, and we’re all in on tacos.