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.

Role Description As an Analytics Engineer for Network Intelligence on the Data & AI team, you will bridge the gap between Xplore's raw network and operational data and the dashboards, KPIs, and self-serve analytics that engineering, operations, and leadership teams rely on daily. You will own the semantic layer, curated Gold-tier analytical datasets across both on-prem and cloud data platforms, and Databricks AI/BI dashboards that surface real-time and historical network intelligence across Fiber, Fixed Wireless, and Satellite domains. This role is not limited to cloud migration work; it also requires designing, building, and operating analytical datasets, transformations, and reporting assets directly on-prem where business and operational needs require it. Unlike a pure data engineer who focuses on pipeline infrastructure, or a data scientist focused on modeling, your specialty is making data reliable, understood, and usable by the widest possible audience: you own metric definitions, dashboard governance, and the translation of operational data needs into clean, documented analytical assets. - Define, document, and maintain canonical KPI and metric definitions for network health, incident volume, capacity utilization, and customer experience indicators in Unity Catalog. - Build and own the semantic layer (Databricks AI/BI datasets) underpinning self-serve analytics for network operations, engineering, and leadership stakeholders. - Design and build operational and executive dashboards in Databricks AI/BI covering real-time network health, incident trends, performance benchmarks, and customer impact metrics. - Develop automated alerting and correlation views that reduce noise for network operations teams and accelerate root cause identification. - Build curated Gold-tier analytical tables and transformation layers across both on-prem and cloud platforms using SQL and PySpark, applying business logic, aggregations, and dimensional modeling patterns. - Implement data quality checks and automated validation to ensure analytical outputs are accurate before reaching business consumers. - Partner with Data Engineers to surface upstream data quality issues and define requirements for Silver-to-Gold transformations. - Act as the subject matter expert for network and operations data consumers, supporting self-serve analytics adoption across engineering and ops teams. - Produce clear data dictionaries, lineage documentation, and onboarding guides for all owned analytical assets. - Support executive-level reporting with accurate, clearly structured KPI outputs tied to network quality and customer experience. Qualifications - 5+ years of analytics engineering, BI development, or data analysis experience in a data-intensive environment. - Expert SQL skills: complex analytical queries, window functions, dimensional modeling, and metric grain definitions at scale. - Hands-on Databricks experience: SQL Warehouses, AI/BI Dashboards, and Unity Catalog; or equivalent modern data stack experience (Snowflake, BigQuery + Looker or dbt). - Strong understanding of data modeling concepts: star schema, slowly changing dimensions, and single-source-of-truth metric governance. - Demonstrated ability to translate ambiguous business questions into well-defined analytical datasets and dashboard specifications. - Proficiency in Python for lightweight transformations and pipeline scripting. - Excellent written and verbal communication skills; comfort presenting analytical findings to Director and VP-level audiences. Preferred Qualifications - Experience building and supporting analytics or transformation layers on-prem as well as in Databricks/cloud environments; not limited to migration initiatives. - Background in network operations, telecommunications, or infrastructure analytics. - Familiarity with Grafana, Datadog, or Prometheus as complementary network observability tools. - Experience designing role-based access controls and data governance frameworks in a cloud or on-prem data platform. - Bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field. Requirements - As a condition of employment and in order to comply with industry-related data security standards, this position is subject to the successful completion of a Criminal Background Check. Details will be supplied to applicants as they move through the selection process. - Xplore is committed to creating an accessible environment and will accommodate disabilities during the selection process. Please let your recruiter know during the selection process of any accommodation needs.