• Assist in building and enhancing AI-powered applications and agents that support business workflows • Develop components of AI solutions that automate routine tasks and surface insights • Gather requirements from stakeholders with guidance from senior team members • Iterate on AI applications based on user feedback and testing results • Provide ongoing Level 3 support for software products • Support integration of AI applications with enterprise systems (e.g., EMR, HRIS, data platforms) under senior direction • Assist with deployment, testing, and monitoring of AI solutions in lower and production environments • Translate documented business requirements into functional workflows • Follow established standards for reliability, security, and code quality • Build and maintain ETL/ELT pipelines that feed analytics and AI use cases • Ingest and transform data from multiple source systems into centralized platforms • Validate accuracy, completeness, and structure of pipeline outputs • Develop and maintain semantic models, datasets, and dashboards (Power BI and related tools) • Apply standardized business metrics and KPI definitions across reports • Optimize queries and data structures for performance and usability • Implement and maintain row-level security and access controls on reports • Partner with IT, clinical informatics, operations, and business stakeholders to understand reporting and AI needs • Communicate progress, blockers, and trade-offs clearly to both technical and non-technical audiences • Escalate architectural or scope questions to senior engineers • Follow team practices for source control, code review, documentation, and testing • Monitor AI outputs and data pipelines for accuracy and reliability • Support compliance with data security, privacy, and governance standards (HIPAA-aware) • Build technical depth in AI/ML tooling, cloud services, and modern data platforms • Contribute small improvements to existing AI tools, dashboards, and pipelines • Stay current with emerging AI and analytics technologies relevant to healthcare operations

Role Description As UpGuard continues its rapid growth trajectory, we are investing in an Analytics Engineer to architect the foundational data layer that powers our entire growth engine. Reporting to the Director of Analytics, this role is the critical bridge between complex commercial strategy and technical execution. You will completely own the modeled revenue data layer end-to-end, serving as the ultimate authority on the data models that Sales, Customer Success, Finance, and the executive team rely on to make enterprise-level decisions. Operating as a senior individual contributor and the first Analytics Engineer, you will: - Own the modeled revenue layer. - Partner closely with our Revenue Analytics Lead on how it's used to drive insight. - Work hand-in-glove with Data Engineering on what lands in the warehouse upstream. What will you do? - Revenue Data Layer Ownership: Design, build, and maintain the foundational revenue data models in dbt – ARR, pipeline, bookings, churn, expansion, retention, attach rates, and the data models that join them to customer, opportunity, and product context. - Stakeholder Partnership: Establish strong, durable working relationships with leaders and operators across Sales, Customer Success, and Revenue Operations. - Requirements Gathering: Sit with the people who use the data. Understand the operational reality behind a request before writing any SQL. - Pragmatic Delivery: Be excellent at 80/20-ing. Ship the version that unlocks the decision this week, while building the foundations that hold up next quarter. - Modeling Craft: Author dbt models that are well-tested, well-documented, performant, and legible to the next engineer who picks them up. - Data Products & Tiering: Build to the right tier for the use case – from exploratory sandbox models for analyst-driven discovery to regulated, accuracy-critical models. - Commercial Acumen: Bring a strong intuition for how B2B SaaS revenue actually works. - Attention to Detail: Revenue numbers get scrutinised. Reconcile to source-of-truth systems, document edge cases, and surface assumptions. - Partner with Data Engineering: Work closely with the data engineering team on what lands in the warehouse from CRM, billing, product, and finance systems. Qualifications - 5+ years building and owning analytics engineering or modeling work. - Deep familiarity with B2B SaaS revenue schemas. - Strong, hands-on experience modeling data from HubSpot and/or Salesforce. - A demonstrated ability to take loose, ambiguous, or evolving requirements and turn them into well-structured dbt models. - Ability to ship a sharp answer quickly when speed matters. - Strong commercial instincts. - Genuinely meticulous with attention to detail. - Strong working knowledge of modern data infrastructure. - Clear written and verbal communication skills. - This role is based in Australia. What will give you an edge? - Time spent in a high-growth tech business. - Hands-on experience working alongside Revenue Operations. - Exposure to forecasting workflows or conversational analytics surfaces. - Experience building models that bridge from Revenue analytics into FP&A. - Familiarity with adjacent source systems. - Opportunities to provide support for the broader organisation, especially our Marketing function. Benefits - Monthly Lifestyle subsidy for financial, physical, and mental well-being. - WFH set-up allowance to ensure you have the right environment to work in. - $1500 USD annual Learning & Development allowance. - Annual leave: PTO plus two additional UpGuardian leave days. - 18 weeks paid Parental Leave irrespective of parenting role. - Personal Leave Allowance including sick & carer’s leave. - Fully remote working environment. - Top-spec hardware provided for all team members. - Generative AI subsidy for access to generative AI tools.

Role Description The Digital & Marketing Analytics team provides advanced analytics products/dashboards and reporting services to stakeholders in the Digital and Marketing teams. As a member of the Customer Analytics team, you will play a significant role in elevating how individuals experience our digital assets and marketing initiatives. Your responsibilities will include: - Gathering and documenting data requirements from customers. - Analyzing and translating requirements into technical specifications, processes, and workflows. - Serving in a lead consultant role for all customer contact and resource management. - Designing and developing solutions using a variety of toolsets based on business requirements and source systems. - Extracting, transforming, and loading data into databases as required. - Producing and developing complex relevant, standard, or custom information (reports, dashboards, interactive reporting, charts, graphs, and tables) from various data sources. - Distributing and disseminating analytical deliverables to applicable agencies, researchers, management, and other customers. - Leading validation of output and metrics to ensure data quality, reliability, and integrity. - Documenting project/work assignments, including all needed technical documentation. - Interpreting complex data and associated deliverables in plain business language for executive & clinical staff. - Developing statistical, economic, and financial analysis from data to evaluate performance and drive relevant business or clinical initiatives. - Providing training and mentoring to junior colleagues. Qualifications - Advanced data manipulation, troubleshooting, and analytical skills. - Advanced development skills in the use of enterprise analytical and BI tools, such as Cognos, Tableau, QuickView, Excel PowerPivot, or SSRS. - Advanced skill in the use of programming languages such as SAS, SQL, R, or STATA. - Verbal and written communication skills. - Ability to design, develop, and implement systems necessary to collect, maintain, and analyze data. - Ability to gather and analyze data, statistical data, and develop reports. - Ability to work independently and lead cross-functional teams with minimal supervision. - Knowledge of ETL & Data Warehousing. - Ability to work with complex data of varying levels of quality and validity. - Ability to develop data analytics and BI applications in a clear and understandable manner meeting user requirements. - Ability to learn new processes and find opportunities to gain efficiencies in the current environment. Requirements - Proficiency with SQL, Snowflake, PowerBI. - Experience with web analytics tools. - Prior experience in a regulated industry (finance, healthcare, etc.). - Web or mobile app development. - Experience with Microsoft Dynamics and Amplitude. - Operating in an Agile environment. - Familiarity with AI tools, such as GitHub Copilot and Snowflake Cortex. - Desire to create Agents and skills within the Agentic framework. Minimum Qualifications - Bachelor's degree (preferably in Statistics, Operations Research, Physics, Computer Science, Economics, Business, Clinical) or 4 years of work experience above the minimum qualification. - 5 Years of Experience.

Role Description Provides moderately complex database analytics and reporting services to clinicians and customers. Gathers data from multiple sources, examines it, and creates metrics to improve clinical and operational performance. Performs requirements definition, development, testing, research, and ad-hoc reporting as requested. - Gather and document data requirements from customers. Examine and translate requirements into technical specifications, processes, and workflows. - Assess, produce, or develop moderately complex information from various data sources, including reports, dashboards, interactive reporting, charts, graphs, and tables. Query data and generate the associated output. Distribute reports to agencies, researchers, management, and other customers. - Examine and validate output and metrics to ensure data quality, reliability, and integrity. - Document project work assignments to include all needed technical documentation, such as source to target mappings, data sources, definitions, methodologies, contact information, and output requirements. - Interpret data and deliverables like reports, dashboards, charts, graphs, and tables in plain business language for executive and clinical staff. Summarize information effectively and create digestible content by selecting suitable visualizations. - Develop research from data to evaluate performance and drive business and clinical initiatives. Examine data for trends, observations, and improvements. Make recommendations. Qualifications - Bachelor's degree in Statistics, Operations Research, Physics, Computer Science, Economics, Business, Clinical or other similar degree or equivalent experience required. - Master's degree preferred. - Proficient in the use of personal computers and related software applications. - Excellent analytic skills, data manipulation, and troubleshooting. - Excellent skills in using enterprise statistical and BI tools like Cognos, Tableau, QlikView, Excel PowerPivot, or SSRS. - Excellent development skills in the use of programming languages such as SAS, SQL, R, or STATA. - Excellent verbal and written communication skills. - Ability to design, develop and implement systems necessary to collect, maintain, and examine data. - Ability to gather and examine data, statistical data and develop reports. - Ability to work exclusively and as part of cross-functional teams. - Ability to develop data analytics and BI applications in a clear and understandable manner meeting user requirements. Requirements - EDUCATION - Bachelor's or 4 years of work experience above the minimum qualification - EXPERIENCE - 3 Years of Experience Benefits - Immediate eligibility for health and welfare benefits - 401(k) savings plan with dollar-for-dollar match up to 5% - Tuition Reimbursement - PTO accrual beginning Day 1 - Note: Benefits may vary based upon position type and/or level.