Senior Consultant Data Analysis

📣 إعلان

منذ ساعتين تقريبا

	نوع العقد	دوام كامل
	طبيعة الوظيفة	بالموقع
	الموقع	الرياض

وصف الوظيفة

About the Role

Elm Company is seeking a Senior Consultant Data Analysis to join their team in Riyadh, Saudi Arabia. This full-time role involves leading complex data analytics and business intelligence initiatives to provide actionable insights across Elm’s product portfolio. The position requires 5-10 years of experience in a relevant field.

Role Purpose and Impact

The Senior Consultant Data Analysis is responsible for translating business information needs into analytical solutions. This includes developing data models and executive dashboards, ensuring reporting quality, and offering expert guidance to support informed decision-making, performance improvement, and value realization, all in alignment with Elm’s policies, procedures, and strategic objectives.

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 these 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, ensuring data integrity, accessibility, performance, and scalability.
Develop analytical solutions that provide visibility into product usage, performance, customer behavior, and business outcomes, generating insights and recommendations for product enhancement.
Establish validation mechanisms to ensure the accuracy, completeness, consistency, and reliability of analytical outputs and coordinate remediation of data quality issues.
Provide expert analytical guidance to product teams, business stakeholders, and external client-facing teams, communicating findings clearly to diverse audiences.
Identify opportunities to improve analytical methods, reporting solutions, tools, and delivery processes, evaluating emerging technologies and developing reusable models.

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.