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Senior Business Intelligence Specialist
hace 2 semanas
Prgx global inc is looking for an experienced senior business data analyst to help us tackle our clients business needs. The ideal candidate will have 4-year degree in finance accounting business economics analytics statistics computer/data science or another relevant field and 3+ years recent hands-on experience working with data tools like sql and python.
Key Responsibilities- Work with the data intelligence team to develop solutions that solve our clients business needs using big data analytics.
- Analyze/interpret complex data from large disparate data sources to create actionable insights and metrics for clients.
- Help develop and review dashboards focusing on spend analysis payment performance SKU-level analytics spend classification etc.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Cordinate with internal data services team to receive complete accurate data on an ongoing basis.
- Develop processes tools and checklists to monitor and analyze data model performance and accuracy.
- Analyze and extract data from 3rd party providers and integrate into our data models and dashboards.
- Meet with internal team members on daily status update calls.
- Manage and lead certain client projects.
- 4-year degree in finance accounting business economics analytics statistics computer/data science IT or another relevant field.
- 3+ years recent hands-on experience working with data tools like SQL and Python.
- Excellent problem-solving and communication skills – able to comprehend the problem translate into technical specs evaluate potential solutions and execute the plan even when unexpected challenges arise.
- Preferred 2+ years of professional experience in consulting retail merchandising or similar field performing detailed business or financial analysis.
- Preferred experience working with transactional and master data such as sales accounts payable/receivable purchase orders vendor master etc.
- Desire and ability to take on a client-facing role.
- Able to work independently for long durations with minimal direction.
- Able to QA their own work and deliver client-ready output (does not rely on manager to uncover errors).
- Able to provide accurate timing estimates for completion of tasks up front and ensure timely delivery of those tasks according to the original timeline.
- Proactively communicate in multiple ways.
- Helps with continuous improvement such as identifying potential pitfalls or opportunity areas in current data models and dashboards (e.g. inefficiencies in certain expressions coding errors performance optimization etc.).
- Exhibits flexibility in changing approaches to solving problems based on fluid nature of client needs.
