Data & Reporting Analytics Engineer - Remote

Location: RemoteWork days/hours: Standard KSA days/hours (Sunday to Thursday)Engagement: 3-month Initial ContractSeniority: 5+ years, hands-on across data, controls and Power BIAbout the RoleThis role exists to make a small number of high-effort, business-critical recurring reports trustworthy and repeatable - while establishing minimum viable data ownership and quality controls over the data those reports depend on. The approach is deliberately lean: controlled extracts and repeatable transformation logic, not a new enterprise data platform.What You'll DeliverA prioritized critical-data-element register, business glossary, ownership matrix, and source-of-truth documentation for the agreed scopeDocumented data quality rules (completeness, validity, allowed values, duplicates, thresholds, severity, ownership, remediation)A recurring-report inventory, narrowed to 2–3 reports selected on business value, manual effort, and feasibilityControlled XLSX/CSV or read-only source extracts with repeatable Power Query/Python transformation logic, record counts, control totals, error logging, archiving and versioning2–3 production-quality Power BI (or GCP/alternative) reports/dashboards with governed KPI definitions, semantic models, DAX, access controls, and scheduled or owner-triggered refreshRunbooks, data dictionaries, and test evidence sufficient for a lean internal team to take over maintenanceKey ResponsibilitiesIdentify which reports, decisions and processes are most exposed to unreliable or manually-assembled data, and profile the underlying extractsResolve conflicting KPI definitions with business owners before build, and document the agreed definitions, owners, exceptions and limitationsBuild resilient transformations that hold up against inconsistent file extracts - changing headers, column order, formats, incomplete dataReconcile outputs against source reports and control totals, surfacing unresolved breaks rather than masking uncertaintyBuild and release Power BI (or alternative) semantic models, measures, drill paths and visuals with proportionate refresh and role-based accessWork with operations, finance, investments, client teams and vendors to establish sustainable extract, review and remediation routinesMust-Have ExperienceHands-on Power BI to production standard: data modelling, DAX, refresh configuration, row-level security, workspace/access managementStrong Power Query/M and Excel; working Python/pandas; practical SQL for read-only extraction and validationExposure to GCP data reporting (Looker, BigQuery)Track record delivering reliable reporting without depending on a warehouse or modern cloud data stackEnd-to-end setup of a reporting platform/layer (Power BI, GCP, or equivalent)Practical data governance/MDM experience - personally built CDE registers, glossaries, ownership matrices, or data-quality rulebooksStrong reconciliation, control-total, exception management and remediation-workflow capabilityConfidence facilitating metric-definition decisions and producing documentation non-specialist owners can operatePreferred / AdvantageousKSA/GCC delivery experience, and familiarity with regulated data residency and privacy boundariesAsset management, wealth management, fund administration, or investment-reporting background (AUM, NAV, performance, holdings, fund structures)Exposure to eFront, Bloomberg, Oracle ERP, or comparable portfolio/market-data/finance systemsArabic reporting or bilingual/right-to-left layout experienceWhat This Role Is NotNot a cloud data-engineering role, and not a pure dashboard-design role - file-based transformation, governance, reconciliation and handover are all core to itOut of scope: building a data lake/warehouse/lakehouse, real-time pipelines, enterprise MDM/catalogue tooling, broad source-system remediation, or unrestricted self-serviceRelevant tools: Power BI, Power Query, GCP BigQuery, Looker. Azure Synapse, Azure Data Factory, Microsoft Fabric, Azure ML, Databricks, Snowflake, dbt, Airflow and Kafka are not screening requirements but may be considered a plus