we're looking for a Head of Analytics to define and elevate how analytics is practiced across the organization.
This is a senior individual contributor role with broad organizational influence. Beyond delivering insights, you'll define how success is measured, establish analytical standards and methodologies, and help teams across Product, Growth, Marketing, Sales Operations, and Content make better decisions with data.
You'll serve as a trusted advisor to senior stakeholders, raise the analytical maturity of the organization, and help drive the next generation of AI-powered analytics.

Were looking for a curious, analytical, and action-oriented Senior Product Analyst to join our Product Team. In this role, you will be the data leader within your product area, helping the team make data informed decisions, identify opportunities, and measure the impact of product initiatives.
Reporting into our GM, you will partner closely with Product Managers, Data Engineers, Business Intelligence Developers, and Software Engineers to turn complex data into clear insights that shape product strategy, roadmap decisions, and business planning.
You will play a key role in understanding how members interact with the Meds product, where we can improve their experience, and how we can better support their long-term success.
Responsibilities:
Partner with Product Managers and cross-functional stakeholders to support data-informed product decisions, roadmap planning, and business strategy.
Analyze user behavior, product usage, funnels, and engagement trends to identify opportunities to improve the member experience and product outcomes.
Build, maintain, and improve dashboards, reports, and alerts using business intelligence and analytics tools.
Define, track, and evaluate key performance indicators and reporting frameworks that help the business understand product performance.
Translate complex data sets into clear insights, actionable recommendations, and concise narratives for product, leadership, and business teams.
Design and analyze product experiments, including A/B tests, funnel analysis, and other methods that measure the impact of product changes.
Partner with Data Engineering, Business Intelligence, and Engineering teams to ensure data quality, reporting accuracy, and reliable measurement.
Proactively surface trends, anomalies, and risks in the data, bringing findings and recommendations to Product Managers and stakeholders ahead of requests, not just in response to them.
Define and build analytical frameworks to empower product and analytics teams with standardized, high-impact insight generation.
Define and build analytical frameworks to empower product and analytics teams with standardized, high-impact insight generation.

Required Principal Product Analyst (Cortex)
Your Career
Join the Cortex Product Analytics team and help shape product strategy through data and AI. As a Principal Product Analyst, you will transform product usage, customer behavior, and business insights into recommendations that influence roadmap decisions, improve customer outcomes, and drive product adoption.
Working closely with Product, Engineering, Design, GTM, and Customer Success, you will define trusted product metrics, leverage AI to accelerate analysis and uncover insights, and enable data-informed decision-making across the Cortex portfolio.
Your Impact:
Partner with cross-functional teams to define product success metrics and answer strategic business questions.
Analyze product usage and customer behavior using data and AI to identify opportunities to improve adoption, engagement, and customer outcomes.
Translate complex datasets into actionable insights that influence product strategy and roadmap decisions.
Define and maintain trusted product KPIs, executive dashboards, and scalable measurement frameworks.
Partner with Engineering and Product Management to ensure high-quality product instrumentation and analytics.
Leverage AI-powered analytics and automation to improve insight generation, reporting efficiency, and decision-making.
Champion analytics and AI best practices to foster a culture of data-informed product development.

Join the Cortex Product Analytics team and help shape product strategy through data and AI. As a Principal Product Analyst, you will transform product usage, customer behavior, and business insights into recommendations that influence roadmap decisions, improve customer outcomes, and drive product adoption.
Working closely with Product, Engineering, Design, GTM, and Customer Success, you will define trusted product metrics, leverage AI to accelerate analysis and uncover insights, and enable data-informed decision-making across the Cortex portfolio.
Your Impact
Partner with cross-functional teams to define product success metrics and answer strategic business questions.
Analyze product usage and customer behavior using data and AI to identify opportunities to improve adoption, engagement, and customer outcomes.
Translate complex datasets into actionable insights that influence product strategy and roadmap decisions.
Define and maintain trusted product KPIs, executive dashboards, and scalable measurement frameworks.
Partner with Engineering and Product Management to ensure high-quality product instrumentation and analytics.
Leverage AI-powered analytics and automation to improve insight generation, reporting efficiency, and decision-making.
Champion analytics and AI best practices to foster a culture of data-informed product development.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

Required Data Analyst
Description
We're transforming the way fleets operate by leveraging data, automation, and AI to power smarter mobility. As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform
What youll do:
Own the product analytics domain for key products and strategic initiatives, with a focus on user behavior and product engagement.
Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel.
Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product.
Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.

Were looking for a Analytics Engineer to own the data and analytics foundation that helps Product, Growth, Customer Success, R&D, and leadership make better decisions.
Youll own the path from raw data to actionable insight - building reliable models, defining key metrics, analyzing product and business performance, and communicating what the data actually tells us.
What youll do:
Analyze product and business performance: Track core KPIs, investigate trends and anomalies, and analyze product usage, feature adoption, customer behavior, funnels, and retention to identify opportunities for improvement.
Turn data into actionable insights: Translate analytical findings into clear recommendations that help Product, Growth, Customer Success, and leadership make better decisions.
Evaluate product initiatives: Measure the impact of new features, product changes, and experiments using appropriate analytical and statistical methods.
Own analytical data models: Develop and maintain reliable, well-structured data models that support consistent metrics, self-service analytics, and trusted business reporting.
Improve the analytics foundation: Contribute to the evolution of our analytics infrastructure, data quality, and tracking in collaboration with Engineering and other stakeholders.
Build and communicate insights: Develop dashboards and targeted analyses, and present findings clearly to technical and non-technical stakeholders, connecting results to business impact.

We're looking for a sharp, hands-on Product Analyst to join us at a pivotal stage of growth, where data drives every product and strategic decision we make.

This is a unique opportunity to join a fast-growing B2C market leader and shape how we understand our users, funnels, and business performance.

You'll work closely with the company's leadership and Product team, turning complex questions into clear insights, and insights into meaningful product decisions.

Your main focus will be driving the metrics that matter most to us: improving retention, increasing subscription conversion, and scaling our acquisition engines, while building the analytical foundation that enables Mami to grow with confidence.


What You'll Do
Partner directly with company leadership to drive strategic and product decisions through data.
Turn business questions into clear analyses, actionable recommendations, and product insights.
Bring a strong product mindset to every analysis, focusing on turning insights into clear next steps.
Define, monitor, and own the KPIs that matter most across the user journey.
Work closely with cross-functional teams to improve retention, increase subscription conversion, and scale our acquisition funnels.
Own and develop Mami's analytics infrastructure across BigQuery, Looker, and Data Studio, from raw data to executive-ready dashboards.
Build and integrate AI-powered tools into day-to-day analysis workflows.

This is a high-ownership role combining strong business judgment with deep technical capabilities. You will contribute to strategic initiatives, work closely with Product Managers, engineers, and senior leadership, and help shape how decisions are made across the company.
You will work primarily with dbt, BigQuery, Looker, and GitHub, using AI-enabled tools such as Cursor, MCP integrations, n8n, and OpenClaw to accelerate and automate your work.
For us, AI-native means more than generating SQL in a chatbot. It means giving agents the right context and tools, validating their output, and turning repeatable processes into reusable workflows.
Product data is consumed throughout Connecteam. Success in this role therefore requires excellent communication, proactive ownership, and the ability to translate complex analysis into practical business recommendations.

Key Responsibilities
Partner with Product Managers and engineers to define events, funnels, activation criteria, adoption metrics, and post-launch measurement.
Analyze high-impact questions involving signup conversion, first-day behavior, feature adoption, retention, and release performance.
Contribute to strategic projects and provide leadership with trusted insights and actionable recommendations.
Define and validate analytics events, then integrate them into our usage, 360, and feature-usage models.
Extend and validate dbt models, owning changes through pull request and CI.
Build and maintain focused Looker dashboards that support product decisions.
Investigate anomalies, usage drops, tracking failures, spam, and inconsistent metrics.
Turn repeatable analyses and operational processes into agent skills, rules, and automated workflows.

Were seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role youll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of todays energy landscape.

This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. Youll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.

What Youll Do:
Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
Ensure data quality and consistency for accurate analysis and reporting.
Conduct statistical analysis and use data visualization tools to present findings.
Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
Provide data-driven insights and recommendations to support decision-making processes.
Interpret and communicate results to customers and management in a clear and concise manner.
Present key findings of your analysis to customers around the globe.