This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Select Health Proactive Care Internship is designed to augment classroom learning and to prepare future healthcare leaders for opportunities upon graduation. The incumbent will work directly with members of the Select Health leadership team on a variety of high impact projects that advance Select Health’s proactive care strategy. In addition, this person will partner with a senior leader mentor, attend leadership meetings, and participate in multidisciplinary workgroups. Some of the summer intern projects may include: - Proactive care models and risk-based planning/operations - Identifying and coordinating resources across Select Health and Intermountain in support of proactive care initiatives - Working with internal stakeholders to quantify the financial value and operational requirements of proactive care initiatives - Developing materials for external stakeholders to aid in their success under existing risk-based contracts This position allows a student to gain work experience in a non-clinical role. The work experience and projects should be related to the student's field of study and support Select Health's mission, vision, and values. This position is temporary by nature and is anticipated to run from mid-May to mid-August 2026. This position may be performed remotely with business travel as needed. Intermountain Health maintains employment registration in Utah, Idaho, Nevada, Colorado, Montana, and Wyoming. Candidates in other locations may be considered. Currently, we are not hiring remote workers in the following states: CA, CT, HI, IL, NY, RI, VT, and WA. Please note that a video interview through Microsoft Teams will be required as well as potential onsite interviews and meetings. Qualifications - Student in business fields (Finance, Communications, Marketing, HR, legal, etc.), who is in the first two years of an undergraduate program at an accredited institution. Education is verified. - Experience using word processing, spreadsheet, database, internet and e-mail, and scheduling applications. - Experience in a role requiring effective verbal, written and interpersonal communication skills. Requirements - Participates and is involved in a variety of projects that support the needs of the department/facility. - Attends team/department meetings and actively participates/takes on opportunities to share knowledge and skills that are pertinent to the meeting. - Gains knowledge of the department's/facility's functions. May job shadow various roles within the department in order to understand their role in the organization. - Works with other members of the department/facility to accomplish assigned tasks. - Project Assistance: May be assigned one or more specific projects during the internship. Demonstrates an understanding of the process and accountability for the results/outcomes. - Works independently or as a member of a team to accomplish the tasks necessary to successfully complete the project. - Involves others when needed in a timely manner and works to meet project timelines. - Provides staff operational/clerical support to the department/facility as needed. Benefits - Temporary positions are not eligible for Intermountain's benefits programs, PTO accrual or paid holidays. - We care about your well-being – mind, body, and spirit – which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged. Company Description Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process. All positions subject to close without notice.

• Support the development and maintenance of semantic data models used for scalable analytics and reporting. • Help build and improve automated data pipelines for ingesting, transforming, and delivering data. • Work with dbt Cloud to support data transformation, testing, documentation, and workflow automation. • Use notebooks and analytical workflows to perform quality control, exploratory analysis, and data validation. • Translate business questions into clean, analytics-ready datasets for dashboards and downstream applications. • Collaborate with analytics engineers, data engineers, developers, and business stakeholders to support data-driven initiatives.

Location: Remote from US Location Position: Analytics Engineer I ECC provides essential environmental, construction, and disaster response services, relying on its Data Science & Analytics Team for enterprise data pipelines, automation, Power BI datasets, and AI initiatives. As an Analytics Engineer, you transform data and technology into actionable insights to drive growth and improve performance. You design and maintain data infrastructure, develop predictive and AI-driven solutions, and collaborate with business units to optimize personnel selection, safety and core KPIs. In addition to technical expertise, you embody ECC’s vision and values - building trust, fostering collaboration, and encouraging innovation to support both team and stakeholder success. In this position you will: - Data Engineering: Design, develop, and maintain Azure-based ELT pipelines to ingest, clean, transform, and publish data. Ensure robust data quality, monitoring, and governance standards. - Data Optimization: Improve efficiency and scalability of SQL queries, stored procedures, and Spark/PySpark/Databricks jobs. - Automation & Integration: Create Python automation scripts for API ingestion, web scraping, and scheduled data updates. Integrate external data sources securely into Azure Data Lake and Azure SQL. - Power BI Modeling: Build and publish enterprise datasets using star schema design, row-level security, incremental refresh, and deployment pipelines. Partner with BI analysts to enhance refresh times and model reliability. - AI Initiatives: Develop and deploy machine learning models for business insights, leveraging modern AI frameworks and tools. Collaborate on research into advanced analytics and predictive modeling pipelines, aligning solutions with industry best practices and integrating them with data lake and data warehouse environments. - Cross-Team Collaboration: Engage with HR, Operations, Scheduling, and Finance teams to define data requirements and participate in code reviews, contributing to shared repository standards. - Be a Self-Starter: Proactively identify opportunities and initiate actions that drive progress, without waiting for direction. - Think Broadly: Apply strategic and holistic thinking to project work, keeping in mind how individual actions contribute to the organization’s long-term goals and success. - Documentation & Support: Maintain thorough documentation, runbooks, monitor dashboards, and architecture diagrams. Provide support for production pipelines during deployments and major program cycles. Requirements - Bachelor’s degree in computer science, Information Systems, Engineering, Data Science, or a related field with at least 2 years of professional experience in data engineering, BI engineering, or analytics engineering; or a master’s degree in one of these fields with at least 1 year of professional experience. - Strong SQL includes window functions, performance tuning, and relational modeling. - Hands‑on experience with Azure (ADF/Synapse, ADLS, Azure SQL, Key Vault, Functions, Fabric, Purview). - Proficient in Python for data analysis, automation, APIs, and scraping frameworks. - Power BI dataset modeling experience (DAX fundamentals, RLS, incremental refresh). - Experience with Git and CI/CD pipelines. - Understanding of data quality, observability, and structured documentation. ECC targeted salary range for US locations average is $75,762 to $103,840 annually. Actual salary offered may be affected by education, training, certifications, experience, skills, level of responsibility, and location. Benefits Offered for Full-Time positions: - Medical/Dental/Prescription/Vision Insurance - Life Insurance, Long Term Disability Insurance - Paid Time off and Holiday Pay - 401k with deferral matching, ESOP, Student Debt Reduction Program - Flexible Spending Accounts (FSA) - Educational Assistance, Mentorship Program, ECC University - Employee Referral Bonus Program - Company-matching charitable giving program

Kit is an email-first operating system for creators who mean business. We help creators grow and monetize their audience with ease. For coaches, YouTubers, authors, podcasters, and other creatives, there isn't a better marketing hub to rely on to grow audiences, automate email marketing, and sell digital products — all within one platform. More importantly, there isn't a team more committed to helping creators earn a living. We're on a mission to help creators earn $1 billion using our creator marketing platform. We have always been 100% independent and 100% remote. We are proud to have built a product that our customers love, and we look for people who have enthusiasm and belief in our mission, vision, and values to join our team. We're also embracing AI thoughtfully — both in how we build and how we hire to ensure our team is adaptable, innovative, and ready for what's next. The role Kit is at an inflection point. We have the product, the customers, and the mission — but our ability to make fast, confident decisions across Finance, Product, Marketing, and Revenue is still bottlenecked by an analytics layer that hasn't kept pace with the business. We're hiring a Lead Analytics Engineer to solve for that: to build the canonical data foundation that lets every team at Kit operate from a single source of truth, and to raise the bar for how data work gets done across the entire function. This is a full-time IC role for someone who thinks in systems, communicates in writing, and finds genuine satisfaction in turning ambiguous metric definitions into reliable, well-documented truth. The success of this role is measured by whether the rest of the company can confidently explore data without depending on the Data team for routine interpretation. Your support system You’ll report to Samuel Umachi, Head of Data, and collaborate closely with an analytic engineer, infrastructure engineers, and cross-functional partners in Product, Engineering, Finance, Marketing, Sales, and Creator Growth. You’ll partner directly with stakeholders who rely on the Reporting Hubs you’ll help build and maintain. What you'll do - First Week: Complete onboarding in Notion and meet your teammates through Get-To-Know-You calls. Get oriented in our core tools: dbt, Github, Redshift, Omni, Slack, and Linear. Start reading existing documentation on our Reporting Hub architecture and canonical metric definitions. - First Month: Audit active Reporting Hub models across Finance, Marketing, Sales, Product Strategy, and Creator Lifecycle. Map current churn logic implementation and identify inconsistencies in canonical metric definitions. Assess Redshift performance strain areas and flag fragile model dependencies. Publish a written architectural assessment memo with your initial findings and recommended priorities. Serve as the data team’s voice in cross-functional discussions about metric definitions, attribution logic, and analytical rigor across Finance, Product, and Marketing. - First Six Months: Propose and begin executing a 6–12 month modernization roadmap for our modeling layer. Refactor the highest-risk models across all business verticals Clarify attribution model contracts and improve cross-functional documentation standards. Measurably reduce warehouse inefficiencies through distribution and sort key optimization, not infrastructure scaling. Improve Segment event modeling structure and align event design with reporting needs in partnership with Product and Engineering. Drive company-wide adoption of canonical metrics by working directly with functional leads to replace ad hoc definitions with documented, auditable standards. - First Year: Complete the Reporting Hub foundation across business verticals with canonical metric consistency enforced. Enable true stakeholder self-serve, so teams can explore data without relying on the Data team for routine questions. Reduce model rework caused by upstream ambiguity through upstream design patterns and documentation. Raise the overall modeling sophistication of the Data team through mentorship, standards, and shared tooling. Leadership makes resource allocation and growth decisions using a shared metric layer they trust without qualification. Finance closes faster because revenue and subscription models are reliable and consistent. Product and the broader company make decisions with cohort and performance data they no longer need to manually verify, allowing the data team to ship faster with less rework. What will S.E.T. you up for success Skills - Deep SQL mastery. You write queries that are readable, performant, and designed for maintainability. You understand relational semantics deeply, including join selection, cardinality management, and predicate placement. - Redshift expertise. You know how sort keys, distribution styles, concurrency, vacuum, and analyze behavior work, and how to design around their constraints. - dbt fluency. You build modular, well-documented, refactorable dbt code. You have opinions about macro design, test strategy, and what “good” looks like in a dbt project at scale. - Business modeling strength. You can translate revenue recognition logic, attribution frameworks, funnel stages, and lifecycle metrics into reliable, auditable models that stakeholders trust. - Written communication. You write clear architectural memos, modeling documentation, and decision rationale. You communicate trade-offs, not just conclusions. - Analytical judgment. You have experience navigating contested metric definitions, challenging dashboard results, or attribution debates while maintaining analytical rigor. - Stakeholder translation. You can explain complex metrics and modeling decisions to different stakeholders and communicate in terms they trust. Experiences - 7–10+ years working in analytics engineering, data engineering, or a closely related role, with at least a few years operating at a senior or staff level. - Designed or significantly refactored a warehouse modeling layer in a production environment. - Built or stewarded canonical metric definitions in a multi-stakeholder environment. - Worked in a SaaS company where revenue recognition, churn logic, or subscription modeling was a core part of the work. - Experience with product analytics modeling, Segment event architecture, identity resolution, or cohort/retention modeling is a strong plus. - Collaborated with infrastructure engineers to address performance challenges at the warehouse level. Traits - As a lead level IC, you see your role as amplifying the effectiveness of the entire data team and driving company wide impact. You lead by example. - You think in systems. When you look at a modeling problem, you see the upstream causes and downstream consequences, not just the immediate fix. - You’re patient with complexity. You don’t oversimplify hard problems, and you don’t ship a definition you can’t defend. - You document as you go, not as an afterthought. You believe that work that’s not written down didn’t really happen. - You push back when necessary. You’re comfortable disagreeing with stakeholders, explaining your reasoning, and holding the line on rigor when speed would create long-term problems. - You use AI tools actively. You’re comfortable using AI to accelerate drafting, exploration, and deployment, while applying your own judgment to the outputs. - You operate with extreme autonomy. At a Staff level, you don’t wait for a detailed brief. You identify what needs to be done, communicate your plan, and move. What won't set you up for success - Defaulting to infrastructure scaling when the real problem is modeling design. - Preferring to build tools or processes before understanding the business context they’re meant to serve. - Optimizing in isolation, without documenting decisions, communicating trade-offs, or looping in collaborators. - Discomfort with ambiguity. Many of our metric definitions are still evolving. You’ll need to lead the process of resolving them, not wait for resolution before acting. - A preference for being told what to build rather than helping define what should be built. Working hours and location We’re 100% remote with team members across the globe. We work mostly on East Coast time, so if you’re based on the West Coast of the United States, Europe, or Asia, you might have a few early mornings or late evenings. We do our best to keep things reasonable, but a little time zone juggling comes with the territory. Compensation + perks + benefits Kit has standardized salaries based on position, no matter where you live. For this role, we’re hiring at our level 5 ($198,000). Level is determined based on experience and our interview process. Perks + benefits include: - Profit Sharing - Kit equity - 401k with a 5% match - We cover up to $2,100 per month toward medical premiums, with dental and vision premiums fully covered. We offer Health Insurance plans through Aetna - $2,000 equipment allowance for your first two years, $1,000 budget every following two years. Company-provided laptops are issued to every Kit team member and are not included in the equipment budget - Individual learning + development budget ($3,500/year) - Gender affirming benefits - Childcare benefit up to $3,000 annually - Twenty (20) days of paid time off during each year of employment - Paid paid vacation: An after-tax bonus of $1,000 for taking five consecutive days of vacation where you’re fully unplugged from work - Ten (10) paid holidays a year - Two weeks of paid sick time each year, including mental health + well being days - Twelve (12) weeks paid parental leave and flexible scheduling in your child’s first year - Up to six weeks of paid bereavement leave, medical leave, and disaster after six months of employment, two weeks of each paid leave in your first six months - Winter Break Closure: Kit closes for a week at the end of December, giving everyone a collective break to enjoy the holiday season. Essential support services remain available, with teams coordinating to ensure coverage during this period - Four-week, paid sabbatical after five years with the team - Fantastic in-person or virtual retreats with the team twice a year How to apply We usually receive a large number of applications, and our goal is to follow up with you within two weeks. You’ll hear from us either way. Here’s what you can expect from the rest of our hiring process: - A phone screen with our recruiter - Hiring manager interview - Take-home assignment / Architectural case study - Technical interview - Final alignment call We’ll keep you informed through every step. To get started, complete this application, including a cover letter and answers to the questions on the next page. We read every single application, and your cover letter and responses help put your experience into context. Kit is an equal opportunity employer We value diversity in all of its forms. Research tells us that applicants who are female or non-binary, as well as applicants who are people of color, are less likely to apply for roles they do not feel 100% qualified for. If you think you meet more than 50% of our requirements but fewer than 100% of them, please apply. We’re imperfect communicators, so think of our job postings as the starting point for discussion rather than proof that you shouldn’t apply. Kit does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.