This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As an engineer at Amplify, you will join a talented team tackling the toughest problems in education with the best ideas in technology – including user experience, APIs and services, data analysis, and deployment pipelines. You’ll play an active role in imagining and improving product design and the classroom experience. - Our analytics engineering team ingests, transforms, models, and aggregates the data that empowers teams across Amplify and our customers to make sense of and tell stories with their data. - You’ll be working with data scientists, data analysts, and data engineers to provide clean, accurate, reliable models and metrics for our products and internal business partners. - Impress the toughest customers around – students – by building the analytical models which drive the design cycle for fun and compelling apps. - Help school administrators build great schools by: - Respecting privacy and ensuring security while offering useful insights by making inquisitive choices in tech stack, database design, masking policies, and encryption. - Helping school principals understand how teachers are teaching and how students are learning by architecting data warehouse schemas and SQL transforms with just the right CTEs, window functions, and pivots. - Analyzing performance and squashing tricky bugs using tools like Fivetran, Snowflake, Airflow, DBT, SQL, Python, Looker and Tableau. - Make life better for passionate Marketing and Sales teams by building cohesive, common data marts from ERP and CRM source systems like Salesforce, Netsuite and HubSpot. - Learn every day by: - Immersing yourself in agile rituals and leveraging our infrastructure. - Collaboration, pull request-ing, CI/CD processes and mentoring on a multi-functional team. - Participating in cross-team share-outs, brownbags, and workshop series. - Becoming an expert in the data models and standards within Amplify and demonstrating the educational industry in order to deliver quality and consistent solutions. Qualifications - BS in Computer Science, Data Science, or equivalent experience. - 3+ years of professional software development or data engineering experience. - Strong computer, data, and analytics engineering fundamentals. - Proven fluency in SQL and its use in code-based ETL frameworks preferably dbt. - Understanding of ETL/ELT pipelines, analytical data modeling, aggregations, and metrics. - Strong understanding of analytical modeling architectures, including the Kimball dimensional data model design. - Experience working with Looker for explore and dashboards. - Ability to clearly communicate and present technical concepts to a broad audience both verbally and in written form. Requirements - Fluency in a development language such as Python. - Familiarity with metadata management tools such as Atlan. - Experience building dashboards, reports, and models in business intelligence tools such as Tableau or Looker. - Experience with tools we use every day: - Storage: Snowflake, AWS Storage Services/DBs (S3, RDS, Glacier, DynamoDB) and Postgres. - ETL/ELT: Airflow, dbt, Fivetran. - BI: Looker. - Experience with tools we don’t use, but should. - Proven passion and talent for teaching fellow engineers and non-engineers. - Experience in recommending standards and practice to streamline the pipeline processes. - Proven passion for building and learning: open source contributions, stretch goals and projects, and self-education. - Experience using LLMs for dev work like Claude or Co-Pilot. - Experience in education or ed-tech. Benefits - Salary is only one component of the Amplify Total Rewards package, which includes a 401(k) plan, competitive health insurance and mental health options, basic life insurance, paid time off, parental leave, and access to best-in-class development programs. - The gross salary range for this role is $115,000 - $129,000. - This role is eligible to earn an annual discretionary bonus that rewards individual and company performance.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Lead and execute clinical optimization strategies across a portfolio of practices to improve adoption, radiologist capacity, efficiency, and satisfaction outcomes. - Develop and maintain standardized dashboards, KPIs, and performance reporting that highlight productivity, workflow, and revenue cycle impact areas. - Identify clinical and revenue optimization opportunities by location, region, and subspecialty trends, translating insights into actionable recommendations. - Partner cross-functionally to enhance analytics infrastructure, reporting tools, and data quality - ensuring reliable performance measurement and visibility. - Provide data-driven consultation and ad-hoc analytical support to practice leaders, conduct quality assurance on large data sets, and implement process improvements that drive measurable results. Qualifications - Highly energetic self-starter, driven to succeed, persistent, and adept at using metrics to drive performance. - Strong analytical capabilities with the ability to interpret, analyze, and visualize complex performance data using Excel, PowerPoint, and business intelligence tools. - Ability to translate quantitative and qualitative findings into practical recommendations and operational improvements. - Detail-oriented and highly organized, with the ability to manage multiple initiatives simultaneously in a fast-paced, matrixed environment. - Outstanding verbal and written communication skills with the ability to articulate insights clearly to clinical and executive stakeholders. Benefits - Competitive Benefits package – Eligibility starts the month after hire, with tiered options to choose from. - Compensation Reviews, Career Growth Opportunities. - Flexible Remote Schedules. - Generous PTO Plans and Paid Holidays. - Proudly Certified as a Great Place to Work for Five Consecutive Years. Compensation The salary range for this position is $110,000-$125,000. Final determinations may vary based on several factors including but not limited to education, work experience, certifications, geographic location etc. This role is also eligible for an annual discretionary bonus. In addition to this range, Radiology Partners offers competitive total rewards packages, which include health & wellness coverage options, 401k benefits, and a broad range of other benefits such as family planning and telehealth (all benefits are subject to eligibility requirements). Company Description Radiology Partners, through its affiliated practices, is a leading radiology practice in the U.S., serving hospitals and other healthcare facilities across the nation. As a physician-led and physician-owned practice, our mission is to transform radiology by innovating across clinical value, technology, service, and economics, while elevating the role of radiology and radiologists in healthcare. Using a proven healthcare services model, Radiology Partners provides consistent, high-quality care to patients, while delivering enhanced value to the hospitals, clinics, imaging centers and referring physicians we serve.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Solution Engineer - Analytics for our First Quality Enterprises, LLC working remotely from the Eastern or Central Time Zone. The Enterprise Data and Analytics team provides strategic direction, technical/functional expertise, and product management for First Quality’s Data and Analytics systems and Machine Learning applications. The Solution Engineer - Analytics, as a key member of the Enterprise Data and Analytics team, contributes to the definition, design, delivery and support of First Quality’s Analytics systems. This role will interact with all areas of First Quality to define business requirements, scope solutions, develop specifications, and support delivery of analytics solutions. This position is the go-to contact for their assigned Analytics system specialization and, as such, serves as the ultimate support escalation point for their assigned system(s). This position will be held accountable for the training, education, and execution of Analytics systems with the goal to fully utilize their capabilities. - Design and development of analytics solutions using different analytics tools like Power BI, QlikSense etc. - Build high performance SQL queries to retrieve, transform and analyze data. - Build and monitor analytics application processes to ensure customer expectations are met. - Collaborate with business stakeholders, data engineers, and data scientists to understand analytics requirements and design scalable and flexible data models. - Perform data profiling, analysis, and troubleshooting to identify and resolve data-related issues. - Follow DevOps practices across analytics tools. Qualifications - Bachelor’s degree in computer science, Information Technology, Engineering or related discipline. - 3 years of experience using Power BI or QlikSense or Tableau. - 3 years of experience using SQL/Python. - Good understanding of data warehousing concepts, dimensional modeling, and semantic/reporting layer design. - Ability to communicate complex ideas in simple terms and effectively interact with decision makers. - Strong problem solving and decision-making skills. - Proficiency in SQL and programming languages such as Python. - Strong problem-solving and analytical skills with the ability to troubleshoot and resolve complex data-related issues. - Excellent communication and collaboration skills to work effectively with stakeholders at all levels. - Ability to manage multiple projects in a fast-paced and dynamic environment. Benefits - Competitive base salary and bonus opportunities - Paid time off (three-week minimum) - Medical, dental and vision starting day one - 401(k) with employer match - Paid parental leave - Child and family care assistance (dependent care FSA with employer match up to $2500) - Bundle of joy benefit (year's worth of free diapers to all team members with a new baby) - Tuition assistance - Wellness program with savings of up to $4,000 per year on insurance premiums - ...and more!

• Design, build, and maintain analytics-ready datasets and data models to support reporting, dashboards, and advanced analytics. • Develop and optimize data transformation logic to ensure performant and reliable analytical outputs. • Support the creation of curated analytics layers that enable consistent and reusable insights across teams. • Troubleshoot and resolve data quality, performance, and pipeline issues impacting analytics delivery. • Partner with business and technical stakeholders to translate analytical requirements into datasets, metrics, and visualizations. • Enable downstream consumption of analytics outputs through reporting tools and dashboards. • Support ad-hoc analysis and exploratory data needs as required. • Enable and support analytics-driven solutions built using Power BI, Power Apps, and Power Automate. • Design and maintain data integrations that allow Power Platform solutions to consume analytics datasets efficiently. • Collaborate with Power Platform developers to ensure analytics outputs are structured and optimized for application and automation use cases. • Assist in troubleshooting data-related issues impacting Power Platform apps, flows, and reports. • Work closely with cross-functional teams to improve analytics workflows and delivery processes. • Contribute to continuous improvement of analytics practices, performance, and usability. • Document analytics solutions, datasets, and integration patterns to support maintainability and knowledge sharing. • Write and maintain SQL-based data transformations and automated data quality tests to ensure data integrity. • Mentor junior team members and contribute to team knowledge development and technical growth.