Senior Data Analytics Consultant

Elm Company; Riyadh; On-site; SAR 250,000 - 400,000; Full time

Job summary

Elm Company in Riyadh seeks a Senior Consultant to lead complex data analytics and BI initiatives across its product portfolio. You will translate business needs into analytical solutions, develop data models, and build executive dashboards to enable informed decisions.

You will collaborate with product, data engineering, and client teams, ensure data quality, design reusable analytics components, and provide guidance to stakeholders to drive performance improvements and value realization.

Qualifications

• Bachelor’s Degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related discipline.
• 6–8 years of experience in Data Analytics, BI, Product Analytics, Data Visualization, Reporting, or related disciplines.

Responsibilities

• Lead the planning and delivery of complex data analytics initiatives supporting internal products and external client requirements.
• Design and develop reports, dashboards, scorecards, charts, and other data visualizations.
• Present complex information in a clear and accessible format for operational and management stakeholders.
• Ensure dashboard structure, visual design, and user experience comply with Elm’s branding and reporting guidelines.
• Maintain traceability between business requirements, data sources, analytical models, and delivered solutions.
• Collaborate with data engineering and technical teams to align analytical models with enterprise data architecture.

Education

Bachelor’s Degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related discipline

Job description

Elm Company in Riyadh seeks a Senior Consultant to lead complex data analytics and BI initiatives across its product portfolio. You will translate business needs into analytical solutions, develop data models, and build executive dashboards to enable informed decisions.

You will collaborate with product, data engineering, and client teams, ensure data quality, design reusable analytics components, and provide guidance to stakeholders to drive performance improvements and value realization.