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
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound calls and warm leads, consult customers on insurance needs, recommend appropriate coverages, and convert prospects into policyholders. The role includes paid training and Property and Casualty licensing, customer communication, sales closing, and brand representation. Employees must work four weekdays and one weekend day, initially follow assigned evening shifts, and maintain a professional home workspace with reliable wired high-speed internet.
Top Skills:
Cable InternetDslFiber InternetPcWired High-Speed Internet
Artificial Intelligence • Cloud • Information Technology • Security • Social Impact • Software
Own the end-to-end financial planning and forecasting function, including ARR forecasting, annual operating plans, expense and headcount modeling, scenario analysis, and monthly reforecasting. Deliver budget-to-actual variance analysis, business-driver insights, board reporting, and financial narratives. Partner with business leaders, Accounting, and the Controller while improving forecasting accuracy, reporting workflows, and process efficiency.
Top Skills:
ClaudeExcelNetSuiteSaaSSQL
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead go-to-market, new product introduction, and customer adoption for ServiceNow’s AI offerings serving developer and admin personas. Build customer understanding, guide early-access programs, advocate for customer needs, create technical enablement content, conduct onboarding sessions, manage community engagement, and collaborate with product, engineering, partners, analysts, and thought leaders. The role requires translating generative AI and agentic technology capabilities into enterprise customer value and influencing product strategy.
Top Skills:
Agent OrchestrationAi AgentsApplication DevelopmentGenerative AiLlmsMcpServicenow Ai Platform
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus



