0 Negotiable or Not Mentioned
USA
54 days ago
siriinfoinc.com
14 Applied 10 Pro Applied
Join our team as a Senior Reporting Data Analyst specializing in Property & Casualty (P&C) Insurance. This role is pivotal in delivering high-quality, business-aligned reporting solutions within our Enterprise Data Warehouse environment. You will act as a Subject Matter Expert (SME) across policy, claims, billing, and financials, working closely with stakeholders to translate business requirements into robust data models, KPIs, and actionable reports. The responsibilities include leading data lineage efforts, mapping data across ETL layers, and ensuring the accuracy and consistency of reporting datasets. You will be tasked with analyzing policy and claims lifecycle data to support regulatory compliance and business growth. This position is available onsite at several SI Offices across the United States, including Alpharetta, GA; Charlotte, NC; Chicago, IL; Conshohocken, PA; Dallas, TX; Denver, CO; Fargo, ND; Garden City, NY; Houston, TX; Lenexa, KS; Lubbock, TX; Morristown, NJ; Mt. Juliet, TN; New York, NY; Purchase, NY; and Topeka, KS.
Key Requirements
13+ years of experience in Reporting and Data Analytics
Strong experience with Enterprise Data Warehousing (EDW)
7+ years of experience in Property & Casualty (P&C) Insurance, specifically Commercial Lines
Expertise in Workers’ Compensation and claims analytics
Hands-on experience with Guidewire suites including PolicyCenter, ClaimCenter, and BillingCenter
0 Negotiable or Not Mentioned
USA
60 days ago
emperentech.com
8 Applied 6 Pro Applied
Emperen Technologies is looking for high-quality Databricks talent based in the USA to support our enterprise scaling efforts. As an Official Databricks Partner, we provide specialized services in data transformation, engineering, and architecture. This role is designed for experts who prefer working on a contract or hourly basis and can provide immediate impact on urgent project delivery needs.
Successful applicants will engage in complex data migration and modernization projects, utilizing Azure Databricks and PySpark. You will be tasked with building scalable data architectures and integrating advanced AI/ML analytics. We focus on enabling outcomes rather than just providing resources, so we require candidates who are results-oriented and technically proficient in the Databricks ecosystem.
Key Requirements
Proficiency in Azure Databricks and Apache Spark ecosystems.
Strong experience with PySpark for large-scale data processing.
Solid background in Data Engineering and Data Architecture principles.
Expertise in Data Migration and Modernization of legacy systems.
Ability to integrate AI/ML and Analytics into production data pipelines.
0 Negotiable or Not Mentioned
USA
64 days ago
indusgroupinc.com
7 Applied 1 Casual Applied
We are looking for motivated Data Analysts to join the Indus Group Inc team. In this role, you will analyze complex datasets to provide actionable insights that drive business decisions. Candidates should be comfortable working with various data tools and have a strong ability to communicate technical findings to non-technical stakeholders.
Indus Group Inc supports recent graduates and experienced professionals alike, offering opportunities across the USA. With support for visa categories like OPT and STEM OPT, we encourage international students and graduates to apply. This is an excellent opportunity to grow your analytical skills in a fast-paced and innovative technological landscape.
Key Requirements
Proficiency in SQL for data extraction and manipulation.
Experience with data visualization tools like Tableau or Power BI.
Knowledge of statistical analysis techniques.
Experience cleaning and preparing large datasets.
Familiarity with Python or R for data processing.
0 Negotiable or Not Mentioned
USA
58 days ago
gmail.com
15 Applied 11 Pro Applied
A Confidential Global Technology Firm is actively seeking a Data & Business Analyst to join their team in the USA. This role is part of a high-priority onboarding initiative designed to support the firm's international client base and accelerate global growth. The successful candidate will play a critical role in interpreting complex datasets to drive strategic business decisions and optimize organizational performance across multiple departments.
The position requires a candidate who can work effectively in a fast-paced environment and deliver actionable insights through data visualization and statistical modeling. Due to the high demand for tech talent in this cycle, early submissions are prioritized for immediate review. This opportunity offers various engagement models including C2C, W2, and full-time contract options for qualified professionals looking to advance their careers in a global tech landscape.
Key Requirements
Proficiency in SQL and data visualization tools like Tableau or PowerBI.
Strong analytical and problem-solving skills to interpret complex data sets.
Experience with statistical software and data modeling techniques.
Excellent communication skills to present findings to stakeholders.
Ability to collaborate with cross-functional teams to drive business insights.
0 Negotiable or Not Mentioned
USA
64 days ago
metablackllc..com
7 Applied 5 Pro Applied
Meta Black is looking for a Data Analyst to translate complex data into actionable insights for our clients. You will be responsible for cleaning data sets, performing statistical analysis, and creating visualizations that help stakeholders make informed business decisions. This role is perfect for detail-oriented individuals with a passion for data storytelling and business intelligence.
Joining Meta Black means gaining access to an aggressive marketing team and experienced recruiters who prioritize your career placement. We offer full compliance and support for various visa holders, ensuring a stable professional path in the US. Our consultants benefit from transparent communication and a focus on long-term project success with reputable clients.
Key Requirements
Proficiency in SQL for data extraction and manipulation.
Experience with data visualization tools such as Tableau or Power BI.
Strong understanding of statistical analysis and data modeling.
Familiarity with programming languages like Python or R for data analysis.
Ability to interpret complex data sets and present findings to stakeholders.