• Partner with the marketing team to build, maintain, and improve reporting infrastructure that supports our provider experience metrics and related KPIs. • Develop dashboards and data visualizations that empower non technical users within the marketing team to understand overall trends and drill into drivers of metric movements. • Partner with the data science team to dive deeper into major trends, helping us understand what is driving those changes. • Ensure downstream teams can access and utilize data effectively by providing training, documentation and support for the dashboards and data products you deliver. • Ensure accurate and consistent reporting of metrics, collaborating with cross-functional stakeholders to ensure data alignment across the business. • Work with our analytics engineering team to maintain the core data models in dbt that support these metrics and ensure data consistency. • Measure marketing campaign effectiveness to optimize how we engage with our members • Explore different attribution models across our entire marketing funnel • Quantifying marketing spend and efficiency across channels

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for a data analyst to help Chord build the context layer for agentic commerce — the platform that enables AI agents to understand, reason, and safely operate real commerce businesses. In this role, you will be an integral part of Chord’s data team’s success. You will investigate trends and patterns in ecommerce that fuel best-in-class insights and a reporting toolkit intended to empower our customers with solid insights to drive their business. As our next Data Analyst, you will: - Support end-to-end analytics solutions through requirements gathering, establishing key metrics, building data models, designing dashboards and visualizations, and analyzing data to drive actionable insights for our customers and internal teams. - Deep dive into complex data across various sources, trends, and questions to provide advanced analyses and insights for our customers. - Optimize, update, review, and troubleshoot data to support new and existing projects and product features in collaboration with the data team. - Collaborate with product and engineering to build scalable and impactful data solutions and new capabilities. - Provide comprehensive analytics support to our customers and internal teams, and develop resources to empower data access and self-service. Qualifications - Strong communication skills with the ability to transform data into a story for and explain complex concepts to different audiences and various stakeholders. - Self-starter with the ability to juggle multiple projects at once and motivated by working in a high-growth, fast-paced, and iterative environment. - Problem-solving skills and the ability to think on your feet to analyze complex questions, support customer questions, and enhance Chord’s commerce data product. - Adept at turning analyses into actionable recommendations for the business and our customers. - Experience analyzing large datasets from different source structure data and data models for reporting consumption. - Experience with SQL, along with reporting and visualization tools. Experience with Looker, dbt, Snowflake, and Fivetran is a plus. - A plus for experience with building or analyzing metrics in an ecommerce business model, including metrics in areas like marketing attribution or web analytics. Benefits - An investment in your physical and mental well-being; we offer 100% employee Medical Benefits coverage, with 69% dependent coverage. - Flexible PTO; we encourage you to take the time you need to be your best self at work. - An onboarding package and annual work from home stipend to ensure you have everything you need to be successful while working remote. - Generous Parental Leave with customizable transition back to work program. - The benefits of working from home, with opportunities to spend quality time with the team at Chord in-person events throughout the year. - To make an impact! We’re an early-stage company, which means there is space to champion ideas, and create and lead initiatives at any level in the Organization. - This is a full-time, salaried position that includes Equity. Salary Information - For US-based employment: the expected salary range for this position is $109,500 - $129,000 USD/year. - For Canadian-based employment: the expected salary range for this position is $116,500 - $137,000 CAD/year. Application Process Chord is an equal opportunity employer, and we value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you’re unsure about your qualifications for this position, we still encourage you to apply. Our interview process for the role begins with an exploratory conversation with our VP Data. After that, we’ll invite you to a zoom session with a range of stakeholders from across our organization. We aim to get to know you and allow you to learn more about our team and product while being respectful of your time.

• Create, maintain, and distribute reports related to clinical outcomes, surveillance, and risk mitigation on a regular basis • Utilize multiple computational languages, platforms and environments to mine and manage data in preparation for analysis and/or reporting • Provide clinical insights and data trends to support and inform a multitude of projects and initiatives across the organization • Present data to and work closely with a variety of stakeholders including senior-level operators and teammates in the clinics • Synthesize results in a non-technical manner to inform recommendations and next steps for leadership • Create cohesive presentations based on findings, summarizing insights from analysis • Act as a collaborative partner during strategy meetings • Become an subject matter expert and thought partner in clinical and methodologic areas • Willing to travel (up to 10% of time)

• Plan and conduct complex data analytics in the direction of Audit and enterprise risk teams. • Interface and communicate with subject matter experts of varied backgrounds, including executives, to properly assess data requirements and execution strategy. • Discuss findings and observations with Management and Audit Teams. • Lead the execution of all aspects of data analytics to fulfill the objective; extract, clean, transform and integrate large and diverse data sources. • Create visually appealing and actionable reports using tools such as Power BI, Power Automate, Python, and SQL. • Maintain documentation of data sources, logic, and procedures to ensure transparency and repeatability. • Stay current on emerging technologies and trends impacting internal audit and data analytics. • Contribute data to internal risk assessments and business monitoring activities across finance, IT, compliance, and operational processes. • Partner with Internal Audit and risk team to build AI strategy, control testing automation, and innovate audit procedures. • Collaboratively engage and manage working relationships with business stakeholders and internal data experts. • Support and assist with internal audit testing as needed.