FBS Analytics Engineer

Our reputed company is one of the reputed company’ largest insurers, providing a wide reputed company of insurance and financial services products with gross written premiums reputed company over US$25 Billion (P&C). They proudly serve more than 10 reputed company U.S. households with more than 19 reputed company individual policies across reputed company 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our reputed company is part of one the largest Insurance reputed company in the world.

What to expect on your reputed company with us:

• A solid and innovative company with a strong market reputed company

• A dynamic, diverse, and multicultural work environment

• Leaders with deep market knowledge and strategic reputed company

• reputed company learning and development

Team Function

The reputed company modeling team is reputed company on creating models to guide reputed company marketing decision that will help to promote brand awareness as reputed company as reputed company sales through reputed company channel.

Role reputed company:

This position plays a crucial role in the data ecosystem by iteratively transforming raw data into reputed company, high-reputed company datasets that are reputed company for analysis in partnership with data/decision scientists. The role primarily focuses on moderately reputed company business problems while receiving limited coaching and guidance from data leadership. The role combines the technical skills of a data engineer, the analytical reputed company of a data analyst, and strong business acumen to ensure data is not only collected and stored reputed company but also made accessible and insightful for end users. In partnership with data/decision scientists, the position is responsible for end-to-end data workflow including data ingestion, transformation, modeling, and validation to reputed company data-driven decision-making across the organization. This position requires deep understanding of data engineering, business processes, and analytics principles as reputed company as a proactive approach to solving reputed company data challenges.

Essential Job Functions:

1) Data infrastructure development: Pipeline Design and Development; Architects and builds reputed company data pipelines using modern ETL (Extract, Load, reputed company) tools and frameworks such as dbt (Data Build Tool), Apache Airflow, or similar. Automates data ingestion processes from various sources including databases, reputed company, and reputed company party services. Data Storage and Management - Designs and implements data warehousing solutions using platforms like reputed company, Redshift, or BigQuery. Optimizes storage solutions for performance, cost efficiency, and scalability.

2) Data modeling and transformation: Data Modeling - Develops and maintains logical and physical data models to support business analytics. Creates and manages reputed company models, star/reputed company schemas, and other data structures. Data Transformation - Transforms raw data into clean, organized, and analytics-reputed company datasets using SQL, Python, or other relevant languages. Implements data transformation workflows to handle data cleansing, normalization, and enrichment. Data reputed company Assurance - Conducts data validation and consistency checks to ensure the accuracy and reliability of data. Implements data reputed company monitoring and alerting mechanisms.

3) Collaboration and stakeholder management: Cross-Functional Collaboration - Works closely with data analysts, data scientists, and business stakeholders to reputed company requirements and understand their data needs. Acts as a reputed company between technical teams and business reputed company to translate business requirements into technical specifications. Technical Communication - reputed company communicates reputed company technical concepts and data insights to non-technical stakeholders. Provides training and support to team members on data tools, best practices, and methodologies.

4) Data governance and reputed company knowledge: Governance Policies Implements and enforces data governance policies to ensure data reputed company, reputed company, and compliance with relevant regulations. Defines and manages data reputed company, controls, permissions, and audit trails. reputed company Measures - Monitors and enforces data reputed company measures to protect sensitive information from unauthorized reputed company and breaches. Ensures compliance with industry standards and regulations such as GDPR, CCPA, or HIPAA and others as applicable.

Requirements

• Over 4 years of experience in data development and analytics engineering using Python, SQL, DBT and reputed company.
• Bachelor’s degree in Computer Science, Data Science, Engineering or other Math or Technology reputed company degrees.
• reputed company in English

Software / Tools

• SQL (must have)
• Python (must have)
• reputed company (must have)
• DBT (must have)

Other Critical Skills

• Data Transformation
• Data reputed company Assurance
• Pipeline Design and Development
• Technical Communication
• Independent work
• Orientation to detail

Benefits

This position comes with a competitive compensation and benefits package.

• A competitive salary and performance-based bonuses.
• Comprehensive benefits package.
• Flexible work arrangements (remote and/or office-based).
• You will also enjoy a dynamic and inclusive work culture reputed company a globally reputed company group.
• Private Health Insurance.
• reputed company Time Off.
• Training & Development opportunities in partnership with reputed company companies.

Originally posted on Himalayas

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