AI Data Analyst / Data Engineer - 100% Remote at Expressable

Job Title: AI Data Analyst / Data Engineer Status: Full-Time Exempt Direct Hire Location: Remote in the United States Target Salary: $100-120k Annual Salary WORK AUTHORIZATION: We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor any type of visas at this time. We’re a fast-growing, fully remote healthcare organization on a mission to improve access to care—and we know our people make that possible. As we expand, we are adding a new role to our team. We are seeking an AI Data Analyst / Data Engineer who is responsible for accelerating AI-driven analytics and strengthening data infrastructure to reduce organizational risk. About Expressable Expressable is a virtual speech therapy practice on a mission to transform care delivery and expand access to high-quality services, serving thousands of clients since our inception in late 2019. We are passionate advocates of parent-focused intervention. Our e-learning platform contains thousands of home-based learning modules authored by our clinical team, helping SLPs empower caregivers to integrate speech therapy techniques into their child’s daily life and improve outcomes. Our mission is to set a new standard in speech therapy by making every caregiver a champion of their loved one’s success. We envision a world where everyone can fulfill their communication potential. What You Would Be Doing at Expressable Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This role operates within a fast-evolving data and technology environment where the Data Analyst/Data Engineer is expected to work alongside AI tools to surface business insights while also serving as a quality control layer for AI-generated outputs. The position requires strong analytical judgment, familiarity with modern data engineering practices, and the ability to guide colleagues in effective AI tool usage. Complexity arises from the dual nature of the role: contributing to technical infrastructure transitions while simultaneously delivering business value through timely, accurate analytics. - Collaborate with AI tools to generate actionable business insights that support strategic and operational decision-making - Review, validate, and continuously improve the context and inputs provided to analytics AI systems to enhance output quality and relevance - Support the organization's transition to an AI-native ELT (Extract, Load, Transform) pipeline by evaluating, implementing, and documenting emerging data engineering technologies - Assist with the adoption of full CI/CD (Continuous Integration/Continuous Deployment) governance practices for data management, including pipeline testing, version control, and deployment workflows - Review AI-developed analytical projects and outputs for accuracy, completeness, and business alignment; identify errors and recommend improvements - Coach and upskill internal stakeholders on how to effectively interact with AI tools to improve the quality and usefulness of their analytical outputs - Monitor data infrastructure performance and contribute to efforts that reduce organizational risk through reliable, well-governed data practices What You Bring to Expressable Education - Bachelor's degree in Data Science, Analytics, Statistics, Computer Science, Information Systems, or a related field - Equivalent combination of education and hands-on experience in data analysis or data engineering may be considered Experience - 3–5+ years of experience in a data analyst, analytics engineer, or related data role - Demonstrated experience using SQL for data querying, transformation, and analysis in production environments - Experience with ELT/ETL pipeline concepts and tools, including exposure to modern data stack technologies (e.g., dbt, Fivetran, Airbyte, or similar) - Familiarity with CI/CD principles and version control practices as applied to data workflows (e.g., Git, GitHub Actions, or equivalent) - Experience working with or alongside AI/ML tools for analytical purposes, including prompt refinement, output validation, or AI-assisted insight generation - Experience in healthcare, telehealth, or regulated data environments Technical Skills - Proficiency in SQL for complex querying, joins, aggregations, and data modeling - Strong working knowledge of Excel and/or Google Sheets, including advanced formulas, pivot tables, and data visualization - Proficiency in Python for data manipulation, automation, and analysis (e.g., pandas, NumPy, or similar libraries) - Familiarity with AI-native analytics tools and prompt engineering techniques for business intelligence applications - Working knowledge of ELT pipeline architecture and data transformation frameworks - Understanding of data governance, data quality best practices, and CI/CD principles for data management - Ability to communicate technical findings and data insights clearly to non-technical stakeholders KEY COMPETENCIES - AI Collaboration & Output Quality: Effectively partners with AI tools to generate data-driven insights; critically evaluates AI-generated outputs for accuracy and relevance; refines prompts and context to improve AI performance; maintains a quality-first mindset in all analytically produced deliverables. - Data Infrastructure & Technical Acumen: Demonstrates strong understanding of modern data stack architecture, including ELT pipelines and CI/CD data governance; applies technical skills in SQL, Python, and spreadsheet tools to solve complex analytical problems; supports infrastructure evolution with a pragmatic and scalable approach. - Risk Awareness & Analytical Rigor: Identifies and mitigates data quality risks proactively; applies structured thinking to validate assumptions and verify outputs; ensures analytical work is reliable, reproducible, and aligned with organizational risk standards. - Enablement & Knowledge Sharing: Coaches colleagues on AI tool usage and analytical best practices; distills complex technical concepts into accessible guidance; builds internal capability to improve the overall quality of data-driven decision-making across the organization. - Adaptability & Continuous Learning: Thrives in ambiguous, fast-changing environments; proactively explores emerging technologies relevant to data and AI; embraces iterative improvement; stays current with developments in the analytics and AI tooling landscape. PHYSICAL REQUIREMENTS AND WORK ENVIRONMENT This is a sedentary, remote position that primarily involves working at a computer or tablet for telecommunications and documentation. The role requires the ability to remain seated for extended periods, operate standard office equipment, communicate effectively via video and audio platforms, and review electronic information. Occasional light lifting of up to 10 pounds may be necessary. Work is performed in a home office environment with minimal exposure to environmental hazards. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. TRAVEL No travel NOTE This job description is not all-inclusive; duties and responsibilities may change at any time with or without notice. More about Expressable Expressable values people. From the technology we develop, the services we provide, and the culture we maintain, Expressable cares about the experience of our employees, clients, and prospects. We intentionally create and sustain supportive environments in which everyone - clients, caregivers, speech-language pathologists, and team members - can achieve their highest potential. We believe that building trusting and collaborative relationships is paramount to delivering quality care so we operate with the highest levels of honesty, transparency, and accountability as individuals and a collaborative team. We believe that transforming therapy happens through the steady and iterative problem solving of an interdisciplinary team. Expressable is an equal opportunity workplace. We celebrate and embrace diversity and are committed to building a team that represents a broad tapestry of backgrounds, perspectives, and skills. Expressable is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Expressable will take the steps to ensure people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact us at [Upgrade to PRO to see contact]. E-Verify Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States. Expressable participates in E-Verify. E-Verify Participation Poster [Upgrade to PRO to see link] E-Verify Right to Work Poster [Upgrade to PRO to see link]