Data Analytics Engineer

About the role

The Data Analytics Engineer will design, build, and maintain scalable analytics data solutions that power CASETiFY’s business intelligence, KPI reporting, and dashboarding across the organization. You will work closely with BI, Data Engineering, product, and business teams to ensure data is trusted, well‑structured, and readily available for decision‑making.

Key responsibilities

• Design, build, and maintain analytics‑ready datasets, transformation logic, and semantic models to support dashboards, KPI reporting, and business analysis.
• Collaborate with BI, Data Engineering, and business stakeholders to translate reporting requirements into scalable data solutions.
• Develop and maintain curated data models, reusable metrics, and governed datasets for management reporting and self‑service analytics.
• Create and enhance reports, dashboards, and visualisations using Tableau or Power BI.
• Define and implement transformation logic, business rules, and data mappings to ensure consistency and trust in analytics outputs.
• Support KPI setup and metric governance by aligning definitions, calculation logic, metadata, and reporting standards.
• Work with Data Engineering to ensure source‑to‑report pipelines are sustainable, scalable, and aligned with enterprise architecture.
• Maintain metadata, documentation, lineage, and semantic consistency for analytics datasets.
• Monitor and troubleshoot data quality issues, model performance, and reporting inconsistencies.

Required profile

• Strong hands‑on experience in analytics engineering, data modeling, and metric definition.
• Proven ability to bridge raw data and business reporting needs.
• Experience working in fast‑paced, dynamic environments.
• Excellent collaboration skills with cross‑functional teams.

Required skills

• Tableau
• Power BI