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Responsibilities
- Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
- Develop comprehensive skills, including business judgment, analytical problem solving, technical depth, and project management.
- Become an expert on data and trends, both internal and external to Kaleidofin.
- Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
- Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights, and drive the planning process with company executives.
- Automate scheduling and distribution of reports and support auditing and value realization.
- Partner with Data Engineering architects to define and ensure proposed Business Intelligence solutions adhere to an enterprise reference architecture.
- Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up business operations and eliminate repetitive tasks.
- 1-4 years of experience designing and delivering Analytics and BI solutions, with expertise in identifying business insights and enabling business decisions for growth and risk management. Expertise in SQL for data management and querying
- Strong experience in scripting (Python preferred) for automating and optimizing data analysis tasks. Proven experience working on the retrieval and analysis of big data sets would be useful.
- Strong command of Power BI or Tableau is essential, with experience in delivering interactive, impactful, and meaningful data visualizations that drive business insights.
- Proven experience leading development efforts through all phases of the Software Development Life Cycle (SDLC), from planning to deployment.
- Strong ability to work with complex data structures and write advanced DAX functions, manage Power Query, and develop applications using Power Apps.
- Ability to implement and optimize data models when required to analyze large data sets. Strong data visualization design skills, data modeling, and inference skills.
- Hands-on experience working in a small team, guiding through technical projects while maintaining a collaborative work environment.
- Financial services experience preferred, but not mandatory.
- Strong knowledge of architectural principles, tools, frameworks, and best practices.
- Excellent communication and presentation skills to communicate and collaborate with stakeholders at all levels.
Key Skills
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