• Partner directly with functional customers to capture business needs, translating requirements into technical solutions • Serve as the bridge between technical teams and non-technical business leaders, ensuring alignment and clear delivery schedules • Architect and maintain Power BI dashboards (and optional Tableau reports) • Design and deploy custom business applications using Power Apps to streamline data collection, user inputs, and operational workflows • Perform deep-dive exploratory data analysis using SQL and Python to identify trends and anomalies • Work within the Azure cloud environment to ensure secure, compliant, and optimized data hosting and processing • Maintain rigorous data quality standards and technical documentation

• Analysing large and complex datasets to identify trends, patterns, and opportunities for business improvement. • Creating dashboards, reports, and data visualisations using tools such as Tableau, Power BI, or Looker to communicate insights effectively to stakeholders. • Collaborating with product, engineering, operational, and clinical teams to define reporting requirements and ensure data accuracy and consistency. • Supporting the development and optimisation of data models and data warehouse structures to improve analytical performance and scalability. • Performing statistical analysis to support forecasting, experimentation, and data-driven decision-making. • Translating business questions into analytical frameworks and delivering actionable recommendations based on data findings. • Monitoring data quality and supporting governance processes to maintain reliable and accurate reporting. • Working with cloud-based data platforms and warehousing solutions such as Snowflake to support analytics and reporting workflows. • Supporting ETL and data transformation processes in collaboration with technical teams and data engineers. • Communicating complex analytical findings clearly to both technical and non-technical stakeholders. • Collaborating with stakeholders to prioritise analytical initiatives and align reporting with business objectives. • Assisting with documentation, reporting standards, and best practices for scalable analytics processes. • Working closely with client teams and cross-functional partners to support successful project delivery and measurable business outcomes.

• Data analysis with SQL, Python, and Power BI • Creation of interactive dashboards • Fundamentals of AI and agile project management • Live instruction: online training in a virtual classroom with experienced instructors, data analysts, and AI experts

• Build and maintain E2E inference time tracking (global and per-model). • Monitor how implementation changes impact total request latency. • Detect regressions introduced by suboptimal code paths. • Provide automated alerts & historical trends. • Build dashboards for internal use (engineering, product, leadership). • Provide client-facing usage dashboards (requests, errors, success rate, performance). • Support clients who need visibility to debug their integrations. • Track model-level usage, API endpoints usage, adoption metrics, etc. • Implement metrics, logs, and traces that help the entire platform scale smoothly. • Work closely with DevOps & backend teams to improve system observability. • Provide insights that guide infra decisions (GPU allocation, autoscaling, caching, batching, etc.). • Select and maintain tooling (e.g., Prometheus/Grafana, Datadog, OpenTelemetry, ELK, BigQuery, etc.). • Ensure data pipelines are reliable, accessible, and always up-to-date. • Build simple, easy-to-read dashboards for both technical and non-technical teams.