Lead Data Analyst

Key Skills: Should have strong SQL, Modelling Methods, Data Analysis, Data Visualization (Tableau, Power BI), ETL Tools, Python, Mapping Source system, Exploratory Data Analysis, Data Transformation, Story Telling

Job Description:

• The Enterprise Data Science team is a multi-disciplinary team of data experts that work together to convert vast amounts of business and consumer data into actionable insights, improved business decisions, and positive customer interactions.
• The team's analytics are used to build, retain and strengthen our relationship with individual clients, plan sponsors and distribution partners, and to improve our business processes across the enterprise.
• The Enterprise Data Science team requires specialized data and analytics skills from three disciplines:
  • Analytics solution consulting – Combining business knowledge and analytical skills to identify, quantify and prioritize data analytics opportunities in consultation with the businesses.
  • Predictive modeling and data science – Applying machine-learning algorithms and statistical techniques to Client hidden patterns in data, which can be used to predict the likelihood of future events.
  • Analytics architecture and technologies – Creating and maintaining the analytics "ecosystem” for integrating data and building and deploying predictive models.

Job Roles & Responsibilities:

• Develop working relationships with key business partners and SMEs
• Understand business needs to ensure that analyses are meaningful and aligned to business objectives
• Evaluate processes and initiatives to measure impact and make appropriate recommendations based on results
• Perform data analysis to deliver actionable business insights
• Generate clear and meaningful profiles and segmentations of Client's customers and businesses
• Identify, research, and resolve data anomalies to ensure data quality
• Work with the predictive modeling team to ensure that models are accurate and reflect business reality
• Participate in team huddles/standups with the SMEs/team to review and communicate ongoing work
• Clearly present analytics findings to team members and business stakeholders

Required Knowledge and Experience:

• Bachelor's degree, preferably in a quantitative or business field.
• Minimum of 2-4 years of experience in financial services and/or analytics.
• Proficient in Python and SQL
• A proven track record of using analytics to deliver insight and quantify benefits
• Able to clearly communicate the results and process of an analytics project
• Able to present complex findings in a business-friendly manner, including appropriate and effective data visualizations using tools such as PowerPoint, Power BI, Tableau, and Excel
• Able to validate data quality to ensure it is appropriate for analysis
• Understanding of one or more client's core business concepts (Retirement, Employee Benefits, Investment Management)