• Maintain and update migration workplan trackers (mock run schedule, environment data refresh plan, reconciliation checkpoints, cutover readiness checklist) • Support requirements-to-data traceability: maintain source-to-target mapping tracker, transformation rule clarifications, and sign-off status across stakeholders • Perform data validation activities using agreed control framework (record counts, control totals, sample-based checks, exception analysis) against vendor outputs • Support reconciliation preparation and review (balance reconciliations, account-level variances, GL/SL tie-outs where applicable); document findings and follow up with owners • Manage defect and exception logs for data migration (capture issues, categorize root cause themes, track to closure, support evidence collation) • Coordinate data-related SIT/UAT readiness: confirm test data availability, refresh requests, masking requirements (if applicable), and resolve data blockers with vendor/IT teams • Prepare artifacts and evidence for governance and auditability (mapping approvals, run results, reconciliation reports, signoff packs, cutover runbooks attachments) • Produce regular status updates and dashboards for the Data Migration Lead (progress, risks/issues, decisions needed, upcoming milestones) • Support cutover activities and mock runs (checklist execution support, results collation, variance reporting, post-run lessons learned capture) • Ensure adherence to client data security and access controls when handling extracts, files, and non-production data.

• Design and develop interactive dashboards using Power BI for internal and external stakeholders • Translate business requirements into data-driven solutions that support decision-making • Build and optimize SQL queries and stored procedures to support reporting infrastructure • Implement embedded BI solutions for client-facing applications using Power BI Embedded • Manage dashboard performance, usability, and data integrity through QA and continuous improvements • Support teams with ad-hoc analysis and insights using SQL and BI tools • Work closely with cross-functional teams across Product, Engineering, and Client Success • Use REST APIs, Power BI Client Libraries, and scripting (JavaScript/TypeScript) for advanced integration • Drive best practices in data modeling, UX design, and dashboard performance tuning • Ensure data security and compliance with internal standards

• betreibst und stabilisierst ELT-Pipelines auf Basis von Snowflake, dbt und Airflow • entwickelst und pflegst wartbare Datenmodelle in dbt • integrierst heterogene Datenquellen in konsistente Datensätze • baust und verantwortest Python‑basierte Ladeprozesse • implementierst Qualitätsprüfungen und Monitoring entlang der Pipeline • entwickelst und optimierst Power-BI-Dashboards und -Reports • agierst als Sparringspartner für deinen Teamlead

Role Description This is a remote position with occasional meetings and events in London and/or Sheffield. Our client is a fast-growing international consultancy specialising in data, AI and advanced analytics for major financial institutions. They are looking for a Software Engineer specialising in Analytics & Insights to design and build enterprise analytics products. The role focuses on: - Developing high-quality datasets, dashboards, and analytical tools that help business stakeholders make better decisions using data. - Integrating AI into data analytics to cut workload and free up time for analysing data and gaining insights. Key Responsibilities: - Design and build analytics datasets and semantic layers for enterprise reporting. - Develop dashboards and analytical products used by business stakeholders. - Translate business questions into measurable metrics, dashboards, and insights. - Design reusable analytics assets such as curated datasets, metrics frameworks, and analytical models. - Implement CI/CD pipelines for analytics workflows. - Work with enterprise data platforms to deliver scalable analytics solutions. - Ensure strong data quality, governance, and lineage practices. - Use AI-assisted tools and LLMs to accelerate analytics workflows, documentation, and insight generation. Qualifications - Strong SQL and data modelling skills. - Experience building analytics datasets and semantic layers. - Hands-on dashboard development using Tableau, Power BI, Looker, ThoughtSpot, or similar tools. - Experience with enterprise data platforms such as Snowflake, Databricks, or BigQuery. - Proficiency in Python or similar scripting languages for analytics, automation, or data manipulation. - Experience implementing CI/CD pipelines using Git, automated testing, and deployment pipelines. - Understanding of enterprise data governance, lineage, and data quality practices. - Strong ability to translate business questions into metrics, dashboards, and actionable insights. Requirements - Experience designing reusable metrics frameworks or analytical models (Nice to Have). - Experience working in large enterprise data environments (Nice to Have). - Experience using LLMs or AI-assisted tools to accelerate analytics workflows (Nice to Have). - Experience building analytics products directly for business stakeholders (Nice to Have). Ideal Candidate - Analytics Engineer or BI-focused Software Engineer. - Comfortable working between data engineering and business analytics. - Able to translate complex enterprise data into clear dashboards and insights. - Strong communication skills with both technical and non-technical stakeholders. Unfortunately, our client is unable to sponsor work visas, either now or in the future.