Senior Consultant Data Analysis

About the Role

Elm Company is seeking a Senior Consultant Data Analysis to lead complex data analytics and business intelligence initiatives. This full-time role, based in Riyadh, Saudi Arabia, focuses on delivering trusted, actionable, and accessible insights across Elm’s product portfolio. The position involves translating business information needs into analytical solutions, developing data models and executive dashboards, and ensuring reporting quality to support informed decision-making and performance improvement.

Key Responsibilities

• Lead the planning and delivery of complex data analytics initiatives for internal products and external client requirements.
• Analyze business and operational data to identify trends, patterns, risks, and improvement opportunities.
• Define analytical approaches and recommend appropriate methods based on business requirements.
• Engage with stakeholders to understand business objectives, information needs, and reporting requirements, translating them into clear business intelligence and analytics requirements.
• Design and develop reports, dashboards, scorecards, charts, and other data visualizations, ensuring compliance with Elm’s branding and reporting guidelines.
• Design and maintain data models that support business intelligence, reporting, and advanced analytics requirements, ensuring data integrity, accessibility, performance, and scalability.
• Develop analytical solutions that provide visibility into product usage, performance, customer behavior, and business outcomes.
• Establish validation mechanisms to ensure the accuracy, completeness, consistency, and reliability of analytical outputs.
• Provide expert analytical guidance to product teams, business stakeholders, and client-facing teams, communicating findings clearly to diverse audiences.
• Identify opportunities to improve analytical methods, reporting solutions, tools, and delivery processes, evaluating emerging technologies for enhancements.

Data Management and Quality Assurance

• 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.
• Identify data quality issues and coordinate with relevant teams for investigation and remediation.
• Review reports and dashboards to ensure consistency with approved definitions and business rules.
• Promote standardized reporting practices and trusted use of data across supported products and client engagements.

Stakeholder Engagement and Capability Development

• Facilitate requirements workshops and validation sessions with business and technical stakeholders.
• Support product teams in making evidence-based decisions using reliable data and analytical findings.
• Support stakeholders in interpreting data and applying insights to operational and strategic decisions.
• Promote effective use of analytics, dashboards, and self-service reporting capabilities.
• Facilitate knowledge transfer and support the development of data analytics capabilities within the function.

Qualifications and Experience

• A minimum of 5 to 10 years of relevant experience in data analysis.
• Demonstrated ability to lead complex data analytics and business intelligence initiatives.
• Experience in developing data models and executive dashboards.
• Strong analytical skills with the ability to identify trends, patterns, and improvement opportunities from data.

Compliance and Standards

• Adhere to all relevant departmental policies, processes, standard operating procedures, and instructions.
• Comply with all relevant safety, quality, and environmental management policies, procedures, and controls.
• Ensure compliance with all relevant information security practices and standards to maintain data integrity and confidentiality.