Entry - level Analyst in the Global Client Group at Dimensional, supporting client relationships and business development for Australia based clients. Enthusiastic, ambitious candidates welcome, especially in Melbourne or Sydney.
About the role
- Reporting & KPI Analyst responsible for analyzing and reporting on KPIs to aid decision-making. Collaborating with teams to enhance data integrity and support strategic decisions.
Responsibilities
- Gather, process, and analyze data from various sources to produce insights on KPIs and performance metrics.
- Track and report on KPIs regularly, highlighting variances from targets and identifying areas of opportunity or concern.
- Create, maintain, and improve dashboards, scorecards, and visualizations that present KPIs and trends in a clear, actionable format.
- Work closely with cross-functional teams (e.g., Consulting, Client Services, Accounting, Plan Administration, Operations) to understand their KPI needs and provide insights to guide strategic decisions.
- Ensure accuracy, consistency, and reliability of data by conducting regular audits and identifying potential data quality issues.
- Analyze performance against benchmarks, forecasting future performance trends, and providing recommendations for improvement.
- Identify and implement process improvements to streamline reporting, enhance data accuracy, and improve KPI tracking systems.
- Document reporting processes and provide training to users on accessing and interpreting reports.
Requirements
- Bachelor’s degree in business, Statistics, Data Analytics, Information Systems, or a related field.
- Strong understanding of KPI frameworks, data analytics, and business intelligence.
- Excellent analytical and problem-solving skills with strong attention to detail.
- Effective communication skills to present findings clearly to non-technical stakeholders.
- 2+ years of experience in a data analysis or reporting role.
- Proficiency in data visualization tools (e.g., Power BI, Tableau) and reporting tools (e.g., SQL, Excel).
- Knowledge of statistical analysis and data modeling is a plus.
- Experience in a similar industry or domain (e.g., finance, e-commerce, healthcare).
- Familiarity with ERP or CRM systems and data extraction processes.
- Experience with scripting or programming languages like Python or R.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
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