Senior People Analytics & Insights Engineer
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Job Location:
San Francisco, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
2 hours ago
Vacancies:
1 Vacancy
Job Summary
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!
Location: San Francisco CA
Employment Type: Full Time
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.
You will:
- Translate business needs into user-friendly self-service dashboards agents and analytical products for stakeholders in People and G&A teams to provide actionable insights and improve decision-making.
- Define validate and build company-wide corporate metrics with cross-functional teams.
- Deliver deep-dive so-what analyses and strategic insights via descriptive diagnostic and predictive analytics/ML modeling on complex datasets presenting findings to leadership for forecasting/business use cases.
- Collaborate with data engineering to build scalable data models semantic layers and metrics using dbt and BigQuery.
- Work with DE IT teams to automate data pipelines and ETL automation for manual processes .
- Optimize refactor validate and document business logic metrics and data products to ensure proper governance of quality accuracy and scalability.
- Act as a liaison across business and technical teams to align analytical solutions with strategic goals.
- Lead complex cross-functional analytics projects.
- Help define best practices for scalable analytics design and contribute to data strategy.
- 5 years of experience in analytics engineering business intelligence or data analytics roles
- Hands-on experience building dashboards using Tableau or a similar BI tool
- Strong proficiency in SQL and working with large datasets in BigQuery or similar cloud data warehouses
- Understanding of key metrics and workflows in Peo functions
- Experience collaborating with data engineers and working with dbt or other data modeling frameworks
- Experience using AI BigQuery ML or other no-code/low-code ML tools for predictive modeling
- Familiarity with data governance principles including documentation privacy and access controls
- Ability to translate business needs into scalable user-friendly analytics solutions
- Bachelors degree in a technical or quantitative field (e.g. Computer Science Engineering Mathematics Statistics or related field) or equivalent practical experience
- Experience with AI agent frameworks natural language querying or building AI-powered user interfaces
- Familiarity with People analytics and metrics such as time to hire retention eNPS etc
- Prior experience in a cloud-native data environment such as Google Cloud Platform (GCP)
- Exposure to Client data ecosystem (e.g. identity resolution clean rooms audience activation)
- 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.
