A little about us…Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. Transportation technology is a hot market, and we’re leading the charge with raving fans and new customers signing up every day. We raised $450M in our Series D funding round in March of 2025 and are on an exciting trajectory as a company. Fleetio is also a proud founding member of the Rails Foundation! More about our team and company: - Fleetio overview video: https://www.youtube.com/watch?v=IlvIbwZT3oU - Our careers page: https://www.fleetio.com/careers About Fleetio & Auto Integrate Fleetio is a modern fleet operations platform used by thousands of organizations worldwide to manage vehicles, equipment, and drivers. Auto Integrate, acquired by Fleetio in 2025, is a leading global maintenance authorization network that supports fleets that outsource their service, maintenance, and repair needs. The business is managed by a small, global team within Fleetio, combining the resources of a scaled SaaS company with the agility of a niche market leader. Description We are looking for a Senior Analytics Engineer to play a foundational role in building Auto Integrates’ internal analytics infrastructure. In this role, you will design and implement the systems that power reporting, operational visibility, and product analytics across the organization. You will focus primarily on building and scaling our internal data platform from the ground up. In close partnership with Product & Engineering, you will also help integrate analytics directly into the platform — enabling data-driven features, reporting, and insights for our customers. You will collaborate closely with leadership, engineering, and other internal stakeholders to ensure data aligns with business needs and supports strategic objectives. This is an opportunity to shape the foundation of Auto Integrate's analytics ecosystem, where data plays a central role in how we operate, how we grow, and how we deliver value to customers. This position will require experience in building a data platform from the ground up, enabling the team to access analytics in ways they have not before. If you are more interested in building upon and improving an existing data platform, check out our other Senior Analytics Engineer job posting: https://job-boards.greenhouse.io/fleetio/jobs/5054939007. Who you are The ideal candidate for this role is a business-savvy senior-level analytics engineer with experience in building and owning complex analytics platforms and working closely with stakeholders. You’re comfortable starting from a relatively open landscape and defining scalable architecture, modeling standards, and best practices. You have a deep understanding of data modeling, data transformation, and data warehousing on modern data platforms. Your experience goes beyond just data engineering; you have a strong foundation in analytics and have worked closely with customer-facing products. You bring strong but adaptable opinions on design patterns, architecture, and data modeling, and you are passionate about solving business challenges by delivering scalable, data-driven solutions. You have a knack for translating ambiguous business questions into clear, actionable data insights and incrementally deliver impactful results. Product-minded and team-oriented, you actively listen to others’ perspectives and educate on best practices. Excellent communication, especially written, is one of your strengths. Your impact - Enable self-service analytics for all team members by designing clean, intuitive data models and metrics through dbt, empowering employees to make informed, data-driven decisions. - Develop and refine custom data pipelines that ingest data from operational systems to our analytics platform, handling both streaming and batch data using third-party tooling and home-grown solutions - Maintain and optimize the data platform infrastructure, focusing on data quality, ELT efficiency, and platform hygiene. - Architect and implement key components of the analytics infrastructure, such as BI, semantic layers, and foundational data warehouse. - Develop and maintain streaming data pipelines from a variety of databases and data sources - Collaborate across business units to understand data needs and ensure required data is collected, modeled, and available to team members. - Document best practices and coach/advise other data analysts, product managers, engineers, etc. on data modeling, SQL query optimization & reusability, etc. Keep our data platform tidy by managing roles and permissions and deprecating old projects. Your experience - 5+ years of experience with a proven track record in data or analytics engineering. - Experience transforming raw data into clean models using standard tools of the modern data stack and a deep understanding of ELT and data modeling concepts. - Hands-on experience building and orchestrating ELT pipelines using Azure Data Factory - Experience with Microsoft SQL Server. - Proficiency in Python and orchestration tooling like Prefect or Dagster. - Experience in designing, building, and administering modern data pipelines and data warehouses. - Experience with dbt. - Experience with semantic layers like Snowflake's semantic views, Cube, or Metricflow. - Experience with Snowflake, BigQuery, or Redshift. - Experience with version control tools such as GitHub or GitLab. - Experience with CI/CD and IaaC tooling such as GitHub Actions and Terraform. - Experience with business intelligence solutions (Metabase, Looker, Tableau) - Excellent communication and project management skills with a customer service-focused mindset. Considered a plus - Experience with data marketplaces/private sharing technologies such as Snowflake Marketplace or AWS Data Exchange. - Experience with ELT tools such as Stitch or Fivetran. - Experience contributing to open-source projects. - Experience with streaming data and pipelines such as Kafka or Kinesis. - Experience with full-stack engineering. Benefits - Multiple health/dental coverage options (100% coverage for employee, 50% for family) - Vision insurance - Incentive stock options - 401(k) match of 4% - PTO - 4 weeks (increases at year two!) - 12 company holidays + 2 floating holidays - Parental leave - birthing parent (16 weeks paid) non-birthing (4 weeks paid) - FSA & HSA options - Short and long term disability (short term 100% paid) - Community service funds - Professional development funds - Wellbeing fund - $150 quarterly - Business expense stipend - $125 quarterly - Mac laptop + new hire equipment stipend - Fully stocked kitchen with tons of drinks & snacks (BHM only) - Remote working friendly since 2012 #LI-REMOTE Fleetio provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. We celebrate diversity and are committed to creating an inclusive environment for all. All employment is decided on the basis of qualifications, merit and business need. This application is not intended to and does not create a contract or offer of employment. Employment with Fleetio is at will. If you have a disability or a special need that requires an accommodation to fill out the online application, please let us know by calling (205) 718-7500.

We're an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies think beyond clicks and conversions to unlock new opportunities for growth. We thrive on rolling up our sleeves and digging into the tough stuff for our 800+ clients. And we love getting them the most ROI from their digital marketing. If you’re up for the challenge, join us. Let’s move fearlessly forward together. Job Title: Consultant, Analytics Compensation: $63,000 to $75,000 Location: Arizona, California, Colorado, Connecticut, Florida, Georgia, Iowa, Illinois, Indiana, Kansas, Maryland, Michigan, Minnesota, Missouri, North Carolina, New Jersey, New Mexico, New York, Oregon, Pennsylvania, Tennessee, Texas, Utah, Virginia, Washington, and Wisconsin. Adswerve is looking for a Consultant, Analytics to join the Analytics Services Team! This person will sit in a pod, or group, completing tasks for clients through assigned projects/clients in Asana directly related to Google Analytics and Google Tag Manager Implementation or other analytics platforms and tag management systems such as Adobe Analytics, Adobe Launch, Tealium, Tableau. The ideal candidate has experience consulting on client projects, identifying areas of opportunity within client data, and translating GA and tag management solutions to all audiences. This position will spend 70% of their time on client interactions, 20% on Individual Training and Development, and 10% on internal work. Responsibilities - Advise Clients on all-things Google Analytics (GA), Google Tag Manager (GTM), and Data Studio or Adobe Analytics, Tableau, Tealium; capabilities of the tool, where to find answers to business questions, and solutions for integrations with other tools. - Creating and carrying out tasks in Asana, while handling all client communications (answering emails, taking notes in meetings) - Maintain client relationships and be their liaison throughout projects and tasks. - Digest Client implementations and data to determine conclusions or methods for solutions. - Answering client questions and attending client meetings Experience - Bachelor’s degree in Marketing, Analytics or related field - Demonstrable experience in Google Analytics or Adobe Analytics - 1 - 2 years experience working in Google Tag Manager or comparable tag management system - Proven ability to solve complex problems and ensure timely delivery, providing the highest level of quality and empathy towards all clients and internal teams - Exemplary presentation skills and interpersonal skills, with previous client facing experience This position pays a base salary of $63,000 to $75,000 per year. Wage differential is based on training and experience. Our team of 250+ employees is spread out across 26 states and six countries. We keep everyone connected remotely with a team-oriented culture where everyone contributes and feels valued for their skills and unique perspectives. If you want to work alongside the best and brightest analytics minds, we’d love to hear from you. You can get hands-on with the latest ad tech, work with exciting clients and pave the way for new industry processes and advancements. All while working for a company that prioritizes your work-life balance. Plus, we offer full-time Adswerve employees benefits you’ll love: - Medical, dental and vision available for employees - Paid time off including vacation, sick leave & company holidays - Paid volunteer time - Flexible working hours - Summer Fridays - “Work From Home Light” days between Christmas and New Year’s Day - 401(k) Plan with 5% company match and no vesting period - Employer Paid Parental Leave - Health-care Spending Accounts - Dependent-care Spending Accounts - Employer Paid Basic Life Insurance - Voluntary Life Insurance (Employee/Spouse/Child) - Employer Paid Short & Long Term Disability - Employee Assistance Program (EAP) - Continuing Education Reimbursement - Employee Referral Bonus Program - Monthly Remote Work Stipend - New Hire Office Equipment Reimbursement Adswerve is an Equal Opportunity and E-Verify Employer. All qualified applicants will receive consideration without regard to race, color, ancestry, national origin, gender, sexual orientation, marital status, religion, age, physical or mental disability, medical condition, gender identity, gender expression, results of genetic testing, service in the military, or on any other basis that would be in violation of any applicable federal, state, or local law. Adswerve will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's Form I-9 to confirm work authorization. If you require assistance with your application, please reach out to careers@adswerve.com Screening of Applications Begins: Immediately and will continue until the position is filled. For best consideration, please apply by 3/17/2026. Recruitment Agencies: We are not utilizing external 3rd party recruitment agencies for this search. Should those needs change, we will seek your assistance directly.

About the Role We are seeking a talented Sr. Analytics Engineer to join our team. This role will be instrumental in transforming raw data into actionable insights that drive operational efficiency and enhance employee, patient and resident experiences within the senior living, home health, hospice, and home care industries. Key Responsibilities Data Engineering - Build and maintain efficient ETL pipelines across EHRs, HRIS, financial systems, and other sources. - Optimize data models for performance and scale. - Ensure data quality through validation and cleansing processes. Data Analysis & Modeling - Partner with cross‑functional teams to translate business needs into data solutions. - Design scalable Star Schemas aligned with business requirements. Data Visualization - Develop interactive Tableau dashboards and reports for KPIs like turnover, labor costs, and satisfaction scores. - Tailor visualizations for executives, HR, operations, and clinical teams. Collaboration & Communication - Work closely with teams to deliver data solutions that meet their needs. - Communicate technical concepts clearly to technical and non‑technical stakeholders. - Document pipelines, models, and dashboards for maintainability. - Mentor junior engineers and share best practices. Required Skills & Qualifications - Experience: 3+ years in Data Analytics Engineering, Data Architecture, or similar roles. - Education: Bachelor’s or Master’s in Information Systems, Computer Science, IT, or related fields. - Technical Skills: - Strong SQL for extraction, transformation, and analysis. - Solid understanding of data warehousing, data lakes, ODS, and Kimball methodologies. - Experience with modern data stack tools (e.g., dbt, Snowflake) as user and admin. - Other Skills: Strong analytical problem‑solving, excellent communication, and effective collaboration. About Pennant & Our Culture As part of The Pennant Group, our work is rooted in the CAPLICO core values — Customer Second, Accountability, Passion for Learning, Love One Another, Intelligent Risk‑Taking, Celebration, and Ownership. These values guide how we support our partners and build a culture of empathy, growth, and purpose. [pennantgroup.com] Additional Information We are committed to providing a competitive Total Rewards Package that meets our employees’ needs. From a choice of medical, dental, and vision plans to retirement savings opportunities through a 401(k) plan with company match and various other benefits, we offer a comprehensive benefits package. We believe in great work, and we celebrate our employees' efforts and accomplishments both locally and companywide, recognizing people daily through our Moments of Truth Program. In addition to recognition, we believe in supporting our employees' professional growth and development. We provide employees a wide range of free e-courses through our Learning Management System as well as training sessions and seminars. Compensation: Depends on experience. Type: Full Time Location: Draper, Utah. The employer for this position is stated in the job posting. The Pennant Group, Inc. is a holding company of independent operating subsidiaries that provide healthcare services through home health and hospice agencies and senior living communities located throughout the US. Each of these businesses is operated by a separate, independent operating subsidiary that has its own management, employees and assets. More information about The Pennant Group, Inc. is available at http://www.pennantgroup.com.

• Partner directly with our cross-functional stakeholders on data, metrics & analytics initiatives • Proactively identify and perform data exploration and deep dives to influence future product directions • Develop and validate the appropriate metrics to measure success in the identity space • Improve foundational data models while designing, owning, and implementing analytical layers and visualizations for scalable analytics • Collaborate with the data engineering and data science teams to ensure data quality, integrity, and availability for analysis • Contribute to the excellence of the Netflix analytics engineering community