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
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Drives strategy, design, implementation, and ongoing improvement of HRIS solutions supporting claims data and employee processes. Partners with business, technology, operations, HR, and customer stakeholders; analyzes and reconciles data; troubleshoots system issues; prepares reports; supports customer implementations; manages communications; trains new analysts; and uses AI to identify business trends.
Top Skills:
APIsArtificial IntelligenceCatalystData FeedsEib ProcessingHcm SystemsHrisExcelPivot TablesVlookupWorkday
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Manages and grows a portfolio of automotive dealer clients with floor plan credit lines ranging from $50,000 to $2.5 million. Responsibilities include client relationship management, credit utilization, financial analysis, risk mitigation, collections support, inventory inspections, fraud and compliance reporting, onboarding, Salesforce documentation, and revenue growth. The role requires frequent client visits within the Kansas City territory, occasional overnight travel, and collaboration with risk, recovery, and cross-functional teams.
Top Skills:
ExcelMicrosoft OutlookMicrosoft PowerpointMicrosoft TeamsMicrosoft WordSalesforce
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Owns strategic post-sale relationships with major U.S. Federal customers, advising C-suite stakeholders on ServiceNow platform value, adoption, transformation, retention, and expansion. Leads complex multi-workstream programs, governance, risk mitigation, change management, and executive communications. Partners with Sales, Delivery, and Customer Success teams to identify services opportunities, resolve escalations, improve satisfaction, and prevent churn while mentoring internal teams and guiding responsible AI adoption.
Top Skills:
Artificial Intelligence (Ai)Customer Service ManagementIt GovernanceIt Service ManagementSdlcSecurity OperationsServicenow
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
