Essential Duties and Responsibilities:
- Develop and maintain reports, dashboards, and workflow solutions using traditional reporting and emerging AI platforms.
- Create and deliver scalable, accurate, user-friendly reporting that supports performance monitoring, operational visibility, and self-serve insights.
- Analyze business and operational data to identify trends, risks, issues, and opportunities.
- Provide clear, data-driven insights and recommendations to support decision-making and continuous improvement.
- Translate complex analysis into clear, actionable information for diverse stakeholder audiences.
- Responsible for user acceptance testing (UAT), validation, quality assurance, and data accuracy for reports, dashboards, and workflows.
- Identify and apply data governance, reconciliation, and documentation practices to ensure integrity and reliability of reporting outputs. Support audits and compliance inquiries.
- Partner with business stakeholders to gather requirements and translate business questions into analytics solutions.
- Identify opportunities to improve processes through automation, improved design, and continuous learning.
- Contribute to defining and delivering the enterprise data strategy.
- Define and implement data models aligned to enterprise standards; maintain data architecture documentation.
- Monitor pipelines and resolve data issues; perform data migration, reconciliation, and validation.
Leadership Competencies:
Results Oriented
Two-way Communication
Building Relationships
Critical Thinking and Decision Making
Adaptability and Change Leadership
Technical/Functional Expertise
Education / Experience Requirements:
- Bachelor’s degree is required in Computer Science, Data Analytics/Data Science or related field.
- 5+ years of experience in data engineering and analytics engineering. Advanced proficiency with SQL, Power BI, Power Query, Excel, SharePoint, Power Automate, and Power Apps.
- Experience working in a financial services organziation highly preferred.
- Strong analytical, data modelling, and data visualization skills.
- Experience developing reporting solutions and dashboards for business users.
- Ability to validate data, troubleshoot issues, and maintain high standards of data quality and accuracy.
- Strong communication skills, including translating business needs into technical solutions and presenting findings clearly.
- Experience collaborating with stakeholders, gathering requirements, and supporting continuous improvement initiatives.
