Summary
The job is for a Data Engineer working remotely with an insurance industry client. Responsibilities include partnering with the client, developing data-driven strategies, designing and implementing data solutions, performing advanced analytics, and ensuring effective teamwork and communication. The candidate should have at least 5 years of experience in data consulting or a related field, proficiency in SQL querying languages, experience with cloud-based data storage solutions, excellent communication skills, and the ability to work independently and as part of a team.
Requirements
- Minimum 5+ years of experience in data consulting or a related field, with a focus on the insurance industry a plus
- Proven track record of successfully delivering data-driven solutions for insurance companies
- Strong analytical skills with experience in data modeling, statistical analysis, and data mining techniques
- Proficiency in SQL querying languages (MySQL, PostgreSQL)
- Experience with cloud-based data storage solutions (e.g., Amazon S3)
- Excellent communication and presentation skills, with the ability to tailor content to diverse audiences
- Ability to work independently and as part of a team in a fast-paced environment
Responsibilities
- Partner with insurance companies to understand their specific business challenges and data landscape
- Develop data-driven strategies to improve operational efficiency, risk management, underwriting, claims processing, and customer experience
- Translate complex data concepts into clear and concise language for business stakeholders
- Design and implement data solutions using technologies like MySQL, MongoDB, and Amazon S3
- Ensure data quality, security, and scalability throughout the data lifecycle
- Develop and maintain data pipelines to automate data collection, transformation, and analysis
- Develop and execute data models and analytical techniques to extract valuable insights from client data
- Identify trends, patterns, and correlations to inform data-driven decision making
- Communicate findings effectively through compelling visualizations and reports
Preferred Qualifications
Experience with data warehousing concepts and technologies
Benefits
- Location: Remote
- Shift Timing: 5:30 Pm To 3:00 Am ( 4-5 Hrs Overlapping )
- Budget: 30 - 38 LPA
