Data Engineer | Insurance & Marketing Analytics
COMPANY OVERVIEW:
This is a leading operations management and analytics company that helps businesses enhance growth and profitability. The company integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance.
The Analytics Practice provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. The company takes an industry-specific approach to transform clients’ decision making and embed analytics more deeply into their business processes. The global footprint of nearly 10,000 data scientists and analysts serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation and logistics industries.
This US based company has more than 58,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia and South Africa.
POSITION OVERVIEW:
We are seeking a skilled and motivated Data Engineer with strong skills in Python, SQL and basis LINUX(including vi editor) to support initiatives in Insurance and Marketing Analytics. You should capable of building and optimizing data pipelines, ensure data quality to support analytics initiatives.
RESPONSIBILITIES:
- Develop and maintain data pipelines using Python and SQL.
- Work with structured and unstructured data from multiple sources including customer data, campaign data and policy information.
- Optimize and manage SQL queries and data storage solutions for performance and scalability.
- Write clean, reusable and efficient python code for data transformation and processing.
- Work in Linux environment, utilizing tools like vi editor for configuration and scripting task.
- Contribute to the design and implementation of data models that support insurance specific metrics and KPIs.
PREFERRED PROFILE:
- Experience: 5 to 8 years of experience in data analytics, with a strong focus on insurance analytics
- Education: Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
- Proficiency in Python for data manipulation and scripting.
- Strong knowledge of SQL and experience working with Relational databases.
- Basic proficiency in Linux OS and familiarity with vi editor.
- Experience working in the Insurance domain, particularly in areas such as Direct mail, campaign performance tracking.
- Understanding of Marketing analytics concepts.
- Familiarity with ETL tools, version control(e.g. GIT).
- Excellent communication and collaboration skills.
- Strong problem-solving skills and attention to details.
Good to have:
- Familiarity with data visualization tools like Tableau, Power BI.
- Experience with cloud platforms like AWS and cloud-based data tools.
LOCATION: Hartford – (Hybrid)
Job ID# 3207590
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