Analytics and Insights Engineer
Analytics and Insights Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
MatchPoint Solutions is a fast-growing young energetic global IT-Engineering services company with clients across the US. We provide technology solutions to various clients like Uber Robinhood Netflix Airbnb Google Sephora and more! More recently we have expanded to working internationally in Canada China Ireland UK Brazil and India. Through our culture of innovation we inspire build and deliver business results from idea to outcome. We keep our clients on the cutting edge of the latest technologies and provide solutions by using industry-specific best practices and expertise.
We are excited to be continuously expanding our team. If you are interested in this position please send over your updated resume. We look forward to hearing from you!
Job Title: Analytics and Insights Engineer
Duration: Fulltime
Salary: $150000/Yr
As we scale our self-service analytics and AI capabilities were looking for a Senior Analytics & Insights Engineer to develop scalable data solutions and intuitive tools that bring insights directly to business teams.
The Senior Analytics & Insights Engineer plays a critical role in delivering trusted scalable analytics solutions to stakeholders across Sales Finance and GTM. Working closely with data engineering youll help shape data models and pipelines that serve as the foundation for high-impact dashboards and predictive analytics. Youll design user-centric tools that empower teams to explore data gain insights and make better decisions - powered by platforms like Vertex AI BigQuery ML and Tableau.
You will:
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Collaborate with data engineering to define and refine scalable data models and semantic layers using tools like dbt Atlan and BigQuery.
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Build and maintain intuitive dashboards in Tableau that provide actionable insights across Sales Finance and GTM functions.
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Develop and deploy ML models using AutoML and BigQuery ML to support forecasting lead scoring and other business use cases.
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Translate business requirements into analytics products that are accessible performant and easy to adopt.
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Design user-friendly AI-powered self-service tools to improve decision-making across teams.
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Ensure governance data quality and documentation standards are consistently applied.
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Act as a liaison between technical teams and business stakeholders to ensure analytical solutions align with strategic goals.
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Lead complex cross-functional analytics projects that guide business decision-making.
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Help define best practices for scalable analytics design and contribute to long-term data strategy.
Your team will:
Partner across Sales Finance and GTM teams to design scalable analytics solutions that unlock insights drive operational decisions and support AI adoption across the business. The team plays a critical role in ensuring that data products are trusted user-friendly and built to scale - combining technical expertise with business context to make impactful decisions easier.
About you:
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5 years of experience in analytics engineering business intelligence or data analytics roles
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Hands-on experience building dashboards using Tableau or a similar BI tool
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Strong proficiency in SQL and working with large datasets in BigQuery or similar cloud data warehouses
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Experience collaborating with data engineers and working with dbt or other data modeling frameworks
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Experience using Vertex AI AutoML BigQuery ML or other no-code/low-code ML tools for predictive modeling
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Understanding of key metrics and workflows in Sales Finance or GTM functions
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Familiarity with data governance principles including documentation privacy and access controls
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Ability to translate business needs into scalable user-friendly analytics solutions
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Bachelors degree in a technical or quantitative field (e.g. Computer Science Engineering Mathematics Statistics or related field) or equivalent practical experience
Preferred Skills:
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Experience with AI agent frameworks natural language querying or building AI-powered user interfaces
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Familiarity with SaaS business metrics such as pipeline coverage sales efficiency and customer acquisition cost
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Prior experience in a cloud-native data environment such as Google Cloud Platform (GCP)
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Exposure to Clients data ecosystem (e.g. identity resolution clean rooms audience activation)
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Experience supporting self-service analytics adoption across business team
MatchPoint Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.
This policy applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.
Employment Type
Full-time
