Data Analyst

Scientist (Data Solutions Analyst) – Data Sourcing & SolutionsBangalore, Karnataka, India
AXA XL recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities. This data should not only be high quality, but also actionable – enabling AXA XL’s executive leadership team to maximize benefits and facilitate sustained industrial advantage. Our Innovation, Data & Analytics function is focused on driving innovation by optimizing how we leverage data to drive strategy and differentiate ourselves from the competition. As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and data-driven insights, we are seeking a Scientist for our Data Sourcing & Solutions team. The role sits across the Innovation, Data & Analytics Department to ensure customer requirements are properly captured and transformed into actionable data specifications. Success in the role will require a focus on proactive management of the sourcing and management of data from source through usage.DISCOVER your opportunity

What will your essential responsibilities include?

·Identify, evaluate, and acquire various data sources that align with the customer's needs. This may involve collaborating with business stakeholders, third-party vendors and source system teams.

·Design and implement data integration strategies to combine diverse datasets from internal and external sources. This would include accountable for documenting data requirements to the ETL processes, APIs, and data pipelines.

·Develop data solutions to address specific business challenges. This might involve creating custom data models that provide actionable insights which integrate with the existing data assets.

·Oversee the organization and management of data within databases, ensuring data security, integrity, and accessibility.

·Able to work in an Agile framework by defining and prioritizing the product backlog and collaborating with Agile teams to deliver the business goals and customer needs.

·Work closely with cross-functional teams, including data engineers, Data Science, Data management, Data governance, Data quality, BI Solutions and Stakeholders.

·Implement measures to maintain data accuracy, consistency, and completeness. Perform data validation and cleansing as needed.

·Adhere to data governance standards, ensuring compliance with regulations and internal policies related to data usage and privacy.

·Proficiency in various data technologies such as SQL, Azure cloud technologies, and Databricks to analyze and produce data insights. Stay updated with emerging technologies in data management.

·Developing expertise in the Insurance domain to better understand the context of the data.

·Identify data-related issues, troubleshoot problems, and recommend solutions to enhance data sourcing and integration processes.

·Provide guidance and mentorship to junior analysts and team members, fostering a culture of continuous learning and improvement.

·Translate complex technical concepts into understandable insights for non-technical stakeholders to drive data-informed decision-making.

·Explore innovative approaches to data acquisition, integration, and solution development that can lead to improved efficiency and effectiveness.

·It is pivotal in ensuring that an organization’s data ecosystem is robust, well-integrated, and capable of providing accurate and actionable insights to become a data-driven organization.

·Instill a customer-first attitude, prioritizing service for our business stakeholders above all else.

In this role, you will report to the Division – of Data Sourcing & Solutions.

SHARE your talent

We’re looking for someone who has these abilities and skills:

Required Skills and Abilities:

·A minimum of a bachelor’s or master’s degree (preferred) in Computer Sciences, Engineering, Data Analytics, or a relevant discipline.

·Extensive experience in a data role (business analyst, data analyst, analytics) preferably in the Insurance industry and within a data division.

·Excellent presentation, communication (oral & written), and relationship-building skills, across all levels of management and customer interaction.