34 total jobs
8 new jobs this week
Design end-to-end data platforms and analytics solutions, from lakehouse architecture and ELT/ETL pipelines to enterprise Power BI models and dashboards, while advising clients and translating business needs into scalable technical.
As an Analytics Engineer, you will oversee analytic and reporting needs, cleanse and transform data, and collaborate with teams to ensure data quality and usability across Financial Services.
Build customer support data models, metrics, and dashboards to explain contact drivers, measure automation and self-service outcomes, monitor operational performance, and help teams prioritize evidence-based improvements.
Build and maintain reliable data pipelines, products, integrations, and internal analytics tools, partnering with data scientists and engineers to strengthen data foundations and support product decisions.
As an Analytics Engineer, you will own Addi's marketing data platform, ensuring reliable data pipelines and integrations while leveraging AI for efficient marketing operations.
As an AI-First Analytics Engineer, you'll own the data modeling layer that drives analytics and AI across the business, ensuring data quality and impactful insights.
As an Analytics Engineer, you will own the transformation layer between raw data and business decisions, modeling data in dbt and defining certified metrics for the company.
As an Analytics Engineer, you will build scalable data models and dashboards, enabling teams to leverage data for strategic decision-making and operational insights.
Build and maintain BI dashboards, reports, and reusable SQL data models, translating business requests into accurate visualizations while improving metric consistency, data quality, and reporting performance.
Build and optimize sales data infrastructure, ETL/ELT pipelines, and Looker Studio dashboards, ensuring accurate, actionable reporting that helps sales leaders make better decisions and improve revenue operations.
We are hiring an Analytics Engineer to maintain and optimize our finance data platform, enhancing the reliability and performance of our data pipelines and core datasets.
As an Analytics Engineering Manager II, you will lead a high-performance team to enhance data science quality and velocity by building robust data foundations and tools at Pinterest.
The Data Analytics Engineer will drive business impact by creating a robust data environment, maintaining the transformation layer, and ensuring data quality for analytics and decision-making.
Join the Growth Analytics International team to establish an operational analytics framework for new international markets, driving growth and profitability through data-driven insights.
As an Analytics Consultant, you will build client-facing analyses and dashboards, driving product discovery and delivering impactful reporting solutions for senior living communities.
As a Software Engineer II in Data Analytics and Engineering, you will enhance data science and product development by building scalable data foundations and analytics tools.
The Collections & Recoveries Analyst will lead the collections and recoveries strategy for Affirm Canada, managing the entire post-delinquency lifecycle to enhance recovery outcomes.
The Analytics Engineer plays a crucial role in the data strategy at Asaas, focusing on data integration, organization, modeling, quality, governance, and accessibility.
The role involves structuring and monitoring daily performance reports, analyzing the complete sales funnel, and transforming data into actionable insights to optimize e-commerce performance.
Join the Revenue Analytics team to drive strategic insights and data solutions that enhance Affirm's revenue growth and optimize merchant relationships.
Build and own revenue analytics data products, reporting models, dashboards, and semantic foundations, translating business questions into reliable, well-tested infrastructure that supports decision-making and AI.
Lead the data and analytics functions to enhance Zero Trust maturity assessments and implementation measurements through effective data modeling and analytics.
Build and maintain trusted, production-grade data models and pipelines that support reporting and decision-making, while simplifying manual workflows and partnering across Finance, Engineering, Sales, and other teams.
Build and maintain trusted, production-grade data models and pipelines, turning complex systems and manual workflows into scalable solutions that support reporting, analysis, and company-wide decisions.
