Data Analyst

Job Summary:

Responsibilities:

• Should be able to query on data, use statistical techniques, visualization tools, and databases to identify trends and insights. The role involves cleaning data, creating reports, and optimizing data-driven strategies.
• Strong analytical skills and proficiency in SQL, Python, Excel, or BI tools.
• Have strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amount of information with attention to detail and accuracy
• Hands-on experience in working for policy and customer data analysis
• Worked with subject matter experts and project team to identify, define, collate, document, and communicate the data movement requirements
• Experienced in designing, planning, and managing the data migration process
• Prepared data migration plans including migration risk, milestones, quality, and business sign-off details
• Performed source system data analysis to manage source to target data mapping
• Expertise in Identifying risks and providing solutions on the potentially to-be affected areas that get impacted during migration
• Liaise with internal and external stakeholders to fully understand data content and ascertain what specific data columns are required for migration
• Experience in analysing the methods used for transforming existing data into specified format for Insurance Platform
• Experienced in mining and analysing large datasets to draw valid inferences
• Adept at queries, report writing and presenting findings and insights from data
• Analysing and mining business data to identify patterns and correlations among the various data points
• Good experience in working on metadata development and implementation for Insurance products
• Good communication, collaboration, and interpersonal skills

Requirements:

• Overall, 3+ years of skills with Data Analysis and Data Warehousing related projects.
• Strong in Data analysis
• Flexible in working hours around 10.30 PM and interact with onshore team for the discussion as per the project need
• Good exposure on doing data analysis and building transformation logics
• Must have strong SQL querying skills
• Worked in agile methodologies
• Must have excellent oral and written communication with need to interact clients directly
• Must be both individual contributor, good team player and self-motivated to take on challenges