The Analytics Engineer will design and implement analytics solutions, maintain reporting dashboards, partner with Product on KPIs, and support marketing with analytics.
Analytics Engineer
About The Company
We’re reimagining what modern marketing automation looks like. Our
platform helps businesses unify their customer data and deliver personalized,
automated engagement across every major channel, email, SMS, digital
advertising, and direct mail all from one intelligent system.
We’re building a product where data is the foundation, not an afterthought. From
real-time insights to AI-powered automation, our work directly shapes how
companies understand and grow their customer relationships. If you’re excited
about creating reports, building true ROI calculators and extracting intelligent
insights from mass data then this is the opportunity for you.
Role Overview
We’re looking for an Analytics Engineer to help design, build, and scale the
analytics backbone of the platform. This role sits at the intersection of data
engineering, analytics, and product. You’ll own how data flows through our
systems, how it’s modeled for reporting, and how it’s ultimately surfaced to
customers and internal teams. Your work will directly influence product decisions,
customer outcomes, and how we measure success.
If you enjoy building clean, scalable reporting solutions and turning complex data
into insights people actually use this role offers real ownership and impact.
What You’ll Do
- Define and own the implementation for analytics and reporting within the product
- Build and maintain dashboards, reports and supporting data models
- Develop custom analytics solutions for paying customers
- Partner with Product to define and monitor KPIs
- Support Marketing and Customer Success with analytics needs
- Automate recurring reporting workflows
What We’re Looking For
- Strong SQL proficiency and working with Databases (PostgreSQL preferred)
- Experience building, maintaining and enhancing analytics dashboards
- BI tools knowledge (experience with Zoho analytics a plus)
- Knowledge of data modeling and analytics best practices
- Ability to communicate insights clearly
- Self-starter mindset in a fast-paced environment
- Basic programming skills with Python, R or similar tools
- Data warehousing and ETL experience would be a plus (DBT, Snowflake, Pentaho, DataFold)
Qualifications
- 3+ years of reporting or data modeling experience
- Experience delivering analytics for products or customers
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience) or equivalent experience.
Salary based on experience and location.
Similar Jobs
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead sales operations for Regional Mid‑Market, Mid‑Market, and Enterprise segments by building scalable processes, ensuring data integrity, and delivering accurate reporting (Salesforce, Sigma, Hex). Drive territory and account modeling, system integration, KPI frameworks, and cross-functional initiatives. Partner with leadership to prioritize projects, provide stakeholder updates, and implement training and documentation to scale growth and operational excellence.
Top Skills:
HexSalesforce (Sfdc)Sigma
Cloud • Fintech • Food • Information Technology • Software • Hospitality
The Director of Retail Engineering will lead architecture and development of Toast's Retail Platform, ensuring resilience and data integrity, managing teams, and driving technical strategy to support Grocery and Convenience Store demands.
Top Skills:
AIDistributed SystemsEdge Computing
Artificial Intelligence • Edtech • Productivity • Business Intelligence • Consulting
Own the full sales cycle for enterprise and upper mid-market customers: prospect, qualify, negotiate, and close $50K-$200K deals. Drive account expansion, build executive-level business cases, align stakeholders, collaborate with partners and delivery, and represent Scaled Agile at industry events.
Top Skills:
AgileAISafe
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
