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KEY ACCOUNTABILITIES & ACTIVITIES
This section describes the principal outputs required from the job.
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Key Accountabilities
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Key Activities
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- Data Analytics Planning & Delivery
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- Lead the planning and delivery of complex data analytics initiatives supporting 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.
- Ensure analytical deliverables are accurate, relevant, and completed according to agreed priorities.
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- Business Intelligence Requirements Management
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- Engage with stakeholders to understand business objectives, information needs, and reporting requirements.
- Translate business needs into clear business intelligence and analytics requirements.
- Facilitate requirements workshops and validation sessions with business and technical stakeholders.
- Maintain traceability between business requirements, data sources, analytical models, and delivered solutions.
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- Data Visualization & Dashboard Development
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- 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.
- Continuously enhance analytical dashboards based on business feedback and evolving information needs.
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- Data Modeling & Analytical Solution Design
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- Design and maintain data models that support business intelligence, reporting, and advanced analytics requirements.
- Define data structures, measures, dimensions, and relationships required for analytical solutions.
- Ensure analytical models support data integrity, accessibility, performance, and scalability.
- Collaborate with data engineering and technical teams to align analytical models with enterprise data architecture.
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- Product Analytics & Performance Insights
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- Develop analytical solutions that provide visibility into product usage, performance, customer behavior, and business outcomes.
- Define and monitor relevant product performance indicators in collaboration with product stakeholders.
- Generate insights and recommendations that support product enhancement and performance improvement.
- Support product teams in making evidence-based decisions using reliable data and analytical findings.
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- Data Quality & Reporting Assurance
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- Establish validation mechanisms to ensure the accuracy, completeness, consistency, and reliability of analytical outputs.
- Identify data quality issues and coordinate with relevant teams to support investigation and remediation.
- Review reports and dashboards to ensure information is consistent with approved definitions and business rules.
- Promote standardized reporting practices and trusted use of data across supported products and client engagements.
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- Stakeholder Advisory & Analytics Enablement
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- Provide expert analytical guidance to product teams, business stakeholders, and external client-facing teams.
- Communicate analytical findings and recommendations clearly to technical and non-technical audiences.
- Support stakeholders in interpreting data and applying insights to operational and strategic decisions.
- Promote effective use of analytics, dashboards, and self-service reporting capabilities.
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- Analytics Improvement & Capability Development
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- Identify opportunities to improve analytical methods, reporting solutions, tools, and delivery processes.
- Evaluate emerging analytics technologies and recommend relevant enhancements to existing capabilities.
- Develop reusable analytical models, reporting standards, and documentation to improve delivery efficiency.
- Facilitate knowledge transfer and support the development of data analytics capabilities within the function.
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- Policies, Processes & Procedures
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- Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner.
- Comply with all relevant safety, quality, and environmental management policies, procedures, and controls to ensure a healthy and safe work environment.
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- Information Security
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- Comply with all relevant information security practices and standards to ensure data integrity and confidentiality.
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