BITCO Insurance Companies

Data Engineer- Analytics

BITCO Insurance Companies$80K — $95K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Legally authorized to work in the United States
  • 3+ years of experience in Data Analysis or a similar reporting role
  • Strong background in data analysis and reporting
  • Proficiency in Power BI and SQL
  • Familiarity with data warehousing concepts like Snowflake
  • Experience in data modeling and semantic design
  • Excellent analytical and problem-solving skills

Responsibilities

  • Collaborate with stakeholders to define data requirements
  • Participate in strategic data projects for self-service insights
  • Integrate insights from multiple data sources for decision-making
  • Develop analysis frameworks for rapid data insights
  • Build scalable data solutions to improve key metrics
  • Interpret market data for internal business comprehension
  • Execute automated data quality checks and validation processes
  • Create insightful reports and dashboards in Power BI

Benefits

  • Competitive salary with a comprehensive benefits package
  • Generous paid time off plus 12 paid holidays
  • Comprehensive health coverage (medical, dental, vision)
  • Company-paid life insurance equal to 2× annual salary
  • 401(k) Savings and Profit-Sharing Plan
  • Ongoing education and professional development opportunities
  • Support for industry certifications
  • Employee wellness programs through fitness support
Full Job Description
Old Republic Bitco is seeking a Data Engineer - Analytics to join our Home Office located in Davenport, IA. As a respected specialty insurer with 11 branch offices across 10 states, OR Bitco delivers tailored insurance solutions to complex industries such as construction, forest products, and oil and gas.

This position is open to hybrid work arrangement, blending flexibility with meaningful in-person collaboration.

Position Summary:

In this role, you'll play a key role in building and maturing the Company's Data Services across all aspects of the organization. This includes recommending and implementing tools for enabling internal business units to leverage data securely, effectively, and efficiently.

You'll develop high-level data analysis, participating in all stages of development from analysis to production releases, delivering data-driven insights to internal business customers. This is a highly collaborative role focusing on Data Services customer needs through data storytelling and insights while modernizing the analytics role for OR Bitco in a cloud-based environment.

You will be involved in all aspects of data science, engineering, and analytics as the Company instills and matures these capabilities and data discipline throughout the organization.

Primary Responsibilities:
  • Collaborate with Project Managers, Business Leaders, Analysts, and other stakeholders to understand the analysis required in order to form data requirements and develop solutions that meet those needs while accommodating scalable volumes of data
  • Participate in strategic data and analytics projects to enable our business leaders to consume data in a curated self-service model that leads to impactful insights for key business areas
  • Integrate and deliver data-driven insights and analysis from multiple sources for internal customers to make decisions relevant to their functional area or across product, program, customer, and risk axis
  • Develop analysis frameworks to enable agile and quick data insights, while maintaining the quality of the insight, and inform strategy
  • Partner across all operational and support functions to build scalable data-based solutions that provide insights into improving key metrics/OKRs
  • Work with business leaders to understand market drivers, OKRs, and products to interpret data and make them comprehensible to understand for other teams
  • Experience with trend analysis and reviews, drafting executive outlines, and recommending strategic changes based on data insights to non-technical leadership teams
  • Understanding and Experience in Statistical Modeling, Natural Language Processing, GenAI, AIML modeling
  • Implement automated data quality checks and validation processes to ensure data integrity and accuracy at scale
  • Design, build, and maintain robust reporting packages from multiple sources through our data warehouse and analytics marts, ensuring scalability and efficiency
  • Ensure the reliability, availability, and scalability of our reporting and analysis system performance and optimize as needed to handle increasing data volumes
  • Ensure data integrity, accuracy, and reliability across multiple environments (warehouse, data marts, reporting)
  • Utilize Power BI to create insightful reports, dashboards, and visualizations to provide actionable insights to stakeholders
  • Troubleshoot data-related issues, identify root causes, and implement solutions in a timely manner to minimize business impact
  • Create and maintain design documents and documentation for reporting pipelines, semantic models, and processes Stay current with emerging technologies and trends in reporting and data analysis, recommending and implementing improvements as necessary to support scalability and growth
  • Work closely with various business units and leaders to identify and interpret their data needs, suggesting innovative ways to consume and analyze data
  • Create reusable templates, such as Power BI semantic models, to empower other data services and IT personnel in their reporting efforts
  • All other functions and duties as assigned

Qualifications:
  • Legally authorized to work in the United States
  • 3+ years of proven experience as a Data Analyst or similar reporting role, with a strong background in data analysis, reporting and statistics
  • Proven work experience with a focus on data storytelling, report development and in-depth data analysis
  • Solid understanding of data reporting models and communication
  • Proficiency in Power BI or similar reporting tools, SQL, and experience working with relational databases
  • Familiarity with data warehousing concepts and tools, such as Snowflake or Microsoft Synapse
  • Experience with data modeling, semantic model design, and optimization techniques for scalability
  • Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment
  • Self-motivated and proactive, with a passion for continuous learning and professional development

Benefits:
  • Competitive salary paired with a comprehensive benefits package
  • Generous paid time off, plus 12 paid holidays annually
  • Comprehensive health coverage, including medical, dental, and vision plans
  • Additional protection through accident, critical illness, and hospital indemnity insurance
  • Company-paid life insurance equal to 2× annual salary
  • Company-paid short-term and long-term disability coverage
  • 401(k) Savings and Profit-Sharing Plan through Old Republic
  • Ongoing education, training, and professional development opportunities
  • Support for industry certifications and insurance designations, including financial assistance
  • Opportunities to give back through corporate philanthropy and community service initiatives
  • Optional benefits including travel, commuter, and pet insurance
  • Employee wellness support through a dedicated fitness program

About BITCO Insurance Companies

BITCO Insurance Companies is a group of insurance companies that provide commercial property and casualty insurance products and services. The company offers a range of insurance products, including general liability, commercial auto, workers' compensation, and umbrella coverage. BITCO Insurance Companies serves a variety of industries, including construction, manufacturing, and transportation. The company was founded in 1919 and is headquartered in Des Plaines, Illinois.
Learn more about BITCO Insurance Companies
Size
400 employees
Industry
Founded
1917

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