Were Hiring BI & Product Analyst
About The Position
Join Our Mission
We are dedicated to creating a world where every older adult receives the care they truly deserve. Guided by compassion and driven by innovation, we aim to redefine the future of caregiving. If youre passionate about making a meaningful impact, join us in advancing our virtual assessment tool. This cutting-edge technology monitors seniors' health in their homes 24/7, delivering emergency alerts, actionable insights, and predictive analysis to enable proactive and effective care.
Here, youll discover exciting opportunities for professional growth, make a direct and meaningful impact on our products and company, and contribute to a mission that truly matters.
Position Overview:
Are you passionate about turning data into real-world impact? were looking for a sharp, data-driven thinker and doer to join our product team. As our Product & BI Analyst, you wont just crunch numbers-youll unlock insights that shape how we build, deliver, and scale products that make a difference in peoples lives. Youll be at the intersection of product, operations, and strategy-empowering teams across the company to make smarter, faster, and more impactful decisions.
Key responsibilities:
Own the BI domain: Lead company-wide analytics, define processes, and champion a data-driven culture.
Enable data-driven teams: Partner with Product, Operations, Customer Success, Marketing, and Sales to track KPIs, analyze performance, and uncover improvement opportunities.
Turn data into impact: Identify trends, anomalies, and opportunities that shape product and business decisions.
Define KPIs and data needs: Collaborate with Product and R&D to define success metrics, guide event implementation, and ensure relevant data sources and flows are in place.
Design accessible reporting interfaces: Build intuitive dashboards and reports that provide easy access to key metrics and clearly surface insights for each stakeholder.
Recommend the right tools: Evaluate and guide the selection of data tools that support evolving business needs.

Were looking for a talented BI Engineer to join our BI team and spread the power of our company. The BI team builds the analytics foundation that powers our company's product strategy and global business growth. We are looking for versatile builders and independent thinkers who can translate complex product domains into scalable data models and AI-driven workflows. If you are a logical thinker with a passion for creating high-impact data products and redefining how organizations interact with data, this role is for you.
WHAT YOULL DO
Lead analytics initiatives end-to-end: requirement gathering → metric definition → data modeling → dashboard delivery.
Partner with Product Managers to define KPIs and translate complex business needs into scalable data models in dbt and BigQuery.
Drive the evolution of BI infrastructure at our company, building reusable models and standardized metrics to enable scalable self-service analytics.
Lead AI-powered initiatives and automation to redefine data discoverability and improve company-wide efficiency.
Own data observability and governance, architecting a scalable BI platform to deliver high-impact data products.
Independently lead cross-functional projects, managing complex stakeholder relationships with a high-ownership approach.

looking for a Data Engineer to help build and scale our analytics data infrastructure. In this role, you will work closely with analysts and business stakeholders to design reliable data models and support the development of a centralized semantic layer used across the company.

You will play a key role in improving the structure, reliability, and usability of our data stack. This includes building and maintaining dbt models, supporting data pipelines, and ensuring analysts have access to clean, well-documented, and consistent data.

This role is ideal for someone who enjoys working at the intersection of data engineering and analytics - translating business needs into scalable data models and enabling teams to move faster with trusted data.

Responsibilities

Design and implement data models that support analytics across key business domains such as GTM, CX, and Finance
Build and maintain transformation workflows using dbt
Work closely with analysts to translate business questions into scalable and reusable data models
Help define and implement a structured semantic layer that enables consistent metrics across the company
Improve the reliability and clarity of the analytics data stack by centralizing logic into well-designed data models
Support the ingestion and transformation of data from various sources using tools such as Fivetran and Airbyte
Contribute to improving data quality, monitoring, and documentation practices
Help establish best practices for analytics modeling and data usage across teams
Actively leverage AI tools (e.g. Cursor, LLM-based assistants) to improve development speed, data modeling, and data workflows

We are looking for a professional and enthusiastic BI Developer to join our team!
Job Id: 25366
The BI Developer will be responsible for defining and building our data pipelines and analytics infrastructure. You will work closely with product managers, R&D engineers, and business stakeholders to support new initiatives and proactively improve our data solutions and AI agents. You will help create and manage data processes for actionable insights and operational needs.
If you are passionate about data modeling and data processing, with excellent visualization and analytical skills, this job is for you.
Key Responsibilities
As a BI Developer, you will be responsible for:
End-to-End Solutions: Design, build, and maintain easy-to-use data solutions. This includes orchestration, data modeling, dashboards, building data agents, monitoring, alerting, and experimentation models.
AI Integration: Actively use AI tools to accelerate development-from writing optimized SQL and automating repetitive tasks to building intelligent agents.
Collaboration: Work effectively with cross-department stakeholders to capture analytical requirements and translate them into technical reality.
Insights: Analyze complex datasets to provide useful, actionable recommendations that drive business value.

We're looking for a Data Warehouse Tech Lead to drive the technical vision and execution of our data infrastructure that powers decision-making across.
You'll lead both the technology and the business coordination for our data warehouse - architecting scalable solutions while working closely with stakeholders and data providers to ensure our platform serves the entire organization's needs. This role combines deep technical leadership with strategic business partnership as we build our next-generation data stack.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Lead technical architecture - design and develop scalable data warehouse solutions that support multiple products and serve the entire organization's analytics needs
Manage the technical roadmap - set strategy and guide execution for the Data Warehouse team, ensuring our platform evolves with business requirements
Drive business process coordination - translate business needs into technical requirements while establishing clear data contracts with R&D, Analytics, and external data providers
Establish and implement best practices - set technical standards for data warehouse architecture, performance tuning, and development methodologies that guide the entire team's approach to building scalable data solutions
Create and maintain sustainable data pipelines - build resilient systems capable of handling unstructured data and managing an evolving schema registry across diverse data sources
Implement advanced data modeling - create robust data structures using methodologies like dimensional modeling, and optimize ETL/ELT processes for our semantic layer
Establish data quality standards - build processes for schema evaluation, anomaly detection, and monitoring data completeness and freshness across all sources
Lead cross-team collaboration - work directly with Data Engineers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers to align technical solutions with business goals

We are looking for a hands-on, strategic Business Application Manager with a proactive, ownership-driven mindset. Someone who takes initiative, thinks beyond the immediate task, and translates data into real business impact. This role requires a unique mix of systems expertise, project management, and analytical skills. Youll not only implement and optimize our platforms but also analyze ROI, create data-driven case studies, and help leadership make informed decisions.
Reporting to the VP of Customer Success, youll work cross-functionally with Sales, Marketing, Finance, Procurement, and Operations to ensure the company has the right tools, workflows, and insights to scale effectively.
This is part project manager, part systems owner, and part business analyst. Youll lead end-to-end implementations, integrate platforms like Salesforce, Intercom, Quicksight, create dashboards and reports, and drive process optimization across the business.

as a revenue operations manager, you'll be at the heart of aligning our gtm teams by managing processes, operations, and analytics. you'll turn complex datasets into actionable growth strategies, own the integrity of our revenue funnel, streamline workflows through automation, and deliver insights that guide our next steps. your goal is to ensure data clarity and operational efficiency across the entire customer journey-from initial lead to long-term retention.
maintain a "single source of truth" by managing database hygiene, lead routing, and the end-to-end lead-to-cash process
administer the tech stack and design scalable integrations between the CRM and third-party tools like gong and zoominfo/clay, ensuring minimal data friction
identify bottlenecks in the sales funnel through data analysis and implement automated workflows to boost team efficiency
build and maintain dashboards to track north star metrics, providing proactive insights to leadership and gtm teams
deliver weekly reports on pipeline health, sales velocity, and churn trends
drive team adoption of tools, processes, and integrations through data -backed training sessions and documentation
we're a newly acquired part of the company, on a mission to redefine how software is built. our ai-powered platform enables anyone to create custom software applications using natural language-no coding required. operating like a startup within the company, we're fast, collaborative, and focused on solving complex problems with simple, powerful solutions.
we exist to empower creators, solo founders, startups, entrepreneurs, and side hustlers to bring their ideas to life. whether you're launching a product, validating a concept, or exploring a new idea, we are here to help you build it.
we're growing rapidly, the potential is immense, and with your expertise, we can drive user-driven growth to new heights.