Senior Business Intelligence Analyst
1 week ago
We are seeking a highly skilled Business Performance Analyst to join our team at Capgemini, a globally renowned group. This is an exceptional opportunity for a talented individual to become a vital member of our team that supports the C-Suite and Executive Leadership of a Top Ten US Insurer.
The ideal candidate will possess extensive knowledge in data analysis, statistical modeling, and data visualization tools, as well as previous experience in analytics firms and a solid educational foundation. As a key member of this team, the Business Performance Analyst's responsibilities include:
- Developing and maintaining interactive dashboards and reports using tools such as Power BI to track key performance indicators (KPIs) and provide real-time insights to the C-Suite.
- Collaborating with cross-functional teams to understand business requirements and translate them into actionable analytical solutions.
- Staying abreast of industry trends and best practices in data analysis, visualization, and predictive analytics.
- Acting as a subject matter expert on data visualization tools and techniques, providing guidance and training to internal stakeholders as needed.
- Driving continuous improvement initiatives to enhance data quality, accuracy, and accessibility.
The Business Performance Analyst is expected to proficiently utilize core data analytics and visualization tools such as Excel Power BI. They should possess knowledge and expertise in data architecture, defining the flow of data through storage systems and downstream applications. The candidate should be adept at data mining and engineering, converting raw data into actionable insights while adhering to business standards. They should also excel in data visualization and reporting, effectively communicating observations and recommendations using various visual aids. Understanding and applying machine learning models for operational, analytical, and financial needs is essential. Additionally, proficiency in statistical and descriptive analysis, including identifying anomalies and communicating recommendations, is required.
The successful candidate will have a Bachelor's degree in Engineering from prestigious institutions like IIT, NIT, DCE, NSIT, BITS or equivalent, and a minimum of 3 years of experience at analytics firms such as EXL, Accenture, MuSigma, Fractal, Tredence, Tiger Analytics etc. Experience in data manipulation, statistical modeling, and predictive analytics, as well as demonstrated expertise in data visualization tools such as Power BI, Tableau etc, is essential. Understanding of the business and operations of a top-tier US Property and Casualty Insurer is a significant plus.
This position comes with a competitive compensation package, including a salary range of $80,000-$110,000 per annum, comprehensive benefits, career development and training opportunities, flexible work arrangements, dynamic and inclusive work culture, private health insurance, pension plan, paid time off, training & development, and performance bonus.
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