As a Data Scientist, the role focuses on developing machine learning models to solve complex business problems, stepping into ML engineering tasks, such as troubleshooting pipelines and ensuring operational stability, mentoring junior team members and fostering collaboration across teams.

Improve client and provider experience by building machine learning models to solve business problems. This is a cross-functional role where you will collaborate with product managers, software engineers, and designers to define and execute on the Care Finding product roadmap. You will have the opportunity to tackle challenging problems such as client-provider matching, LTV modeling, and user segmentation.

As a Data Engineer- I, you will report to a Team Manager/Lead and work closely with a team, responsible for running and maintaining data pipelines and producing highly accurate data deliverables for internal and external clients. You will collaborate using virtual tools, resolve issues, improve documentation, and provide critical thinking to meet client needs.

The Associate II, Data Operations is responsible for managing the daily operational tasks, supporting business needs and developing best practices and efficiencies. This role will be the expert and go-to-person in providing solutions to clients based on their goals and requirements. Responsibilities include custom segment setup, data activation, report preparation, and troubleshooting.

As the Senior Customer Analytics Manager, you will lead high-impact analytical initiatives supporting Jobber’s most critical strategic priorities, collaborating across departments to drive data-informed decisions that fuel sustainable growth. This role involves strategic insights, experimentation and advanced analytics, stakeholder partnership and communication, and enablement and thought leadership.

Lead GTM data analytics and metrics reporting to identify key business trends, support GTM initiatives, and drive ad hoc analyses. You’ll work closely with GTM business partners and Finance teams to deliver impactful insights and scalable reporting solutions. The role involves owning GTM Finance reporting and dashboarding providing visibility into key performance metrics.

We are seeking a Senior Power BI developer who will be responsible for designing, developing, and deploying advanced Power BI reports and dashboards, maintaining data analytics platforms, and ensuring optimized query performance. The candidate will connect to various data sources and transform data into actionable insights through Power BI.

The company is looking for an experienced Data Engineer with strong expertise in Python and SQL. This role requires hands-on experience with AWS services, big data processing, and distributed computing. The Data Engineer will be responsible for building and optimizing data pipelines and integrating various data sources.

We are seeking an experienced Analytics Implementation Engineer to join our growing team. In this role, you will take ownership of tracking and instrumentation across multiple digital products, ensuring data integrity and visibility from front-end tagging to data pipelines. You will work closely with engineering, marketing, and analytics teams to implement robust and scalable solutions that drive data-informed decision-making.

As the leader of the analytics engineering team, you’re going to build and lead the team, develop deep product expertise, leverage AI and LLMs, unlock the value of our data, and directly deliver business impact. Prioritize outcomes over tools and bridge the gap between business and data to drive real value in decision-making.