General Description : Assists the Technical Resources teams (Claims, Risk Control, Property & Casualty and Placement) by providing entry-level technical insurance support and coordination for assigned clients and prospects. Responsibilities : Supports Claims, Risk Control, Property & Casualty and Placement consultants in servicing prospects and assigned accounts. Verifies accuracy of insurance documentation. Completes data collection, entry and preparation. Completes analytical reports and provides entry-level analysis of data. Prepares draft proposals, submissions and comparisons. Follows up with insurance carriers and underwriters on outstanding quotes. Reviews insurance binders for accuracy and completeness. Assists clients with onboarding of client portal Risk Management systems. Gathers quote information, comparison of terms & conditions, and marketing summary to provide to account management teams. Gathers data and runs models for Casualty and Property teams (i.e. Loss Forecasts, Loss Stratifications, Loss Development Factors (Triangles), Collateral; Premium Allocation; Catastrophe modeling) Assists Claims consultant with reporting of complex claims Prepares Loss Trend Report and Claims Detail Reports Knowledge, Skills and Abilities : 1-2 years of experience in a Commercial Lines agency. College degree preferred. Must hold or be willing to earn Property & Casualty insurance license. Comfortable with internet-based programs and Microsoft Office products. Proficient in Microsoft Excel & PowerPoint. Must have a capacity for analytical thinking and strong organizational skills. Develops property and casualty knowledge and skillset. LI-DG1 USI is committed to providing a full-suite of competitive benefits for our growing population and its diverse needs. We offer a wide range of health, welfare and financial benefits including medical, wellness, dental and vision, 401(k), flexible spending and health savings accounts, short and long-term disability, life insurance and other unique employer-sponsored and voluntary programs. USI also offers a generous paid time off policy, paid family leave benefit as well as paid holiday time .

LHH is partnering with a company in Houston in their search for an Operational Data Analyst. As an Operational Data Analyst, you will be responsible for collecting, analyzing, and interpreting large sets of operational data to provide valuable insights and support informed decision-making. The ideal candidate is a detail-oriented problem solver with a strong analytical mindset and a passion for turning data into actionable recommendations. Responsibilities : Collect and analyze operational data from various sources, including databases, spreadsheets, and data management systems. Develop and maintain data models, dashboards, and reports to track key operational metrics and performance indicators. Identify trends, patterns, and anomalies in data and present findings to stakeholders in a clear and concise manner. Collaborate with cross-functional teams to understand business requirements and translate them into data-driven insights and recommendations. Identify areas for process improvement, operational efficiency, and cost optimization through data analysis. Monitor and evaluate the effectiveness of implemented solutions and initiatives. Develop and maintain documentation of data analysis methodologies, processes, and results. Stay up-to-date with industry best practices and emerging trends in data analysis and operational excellence. Qualifications : Bachelor's degree required. Proven work experience as a Data Analyst or in a similar role, preferably within the oil and gas industry. Experience using Maximo and Python software

Our client, the leading integrated power company, is seeking a CORP - Data Analyst Location : Remote Position Type : Contract Job Summary : The Company East team is seeking a Digital Data Analyst to lead the reporting and analysis of digital data across a suite of consumer properties (prospect website, online account area, mobile apps). The candidate will be responsible for analyzing and reporting on the behavior of customers on all digital properties and working with teams across the department to provide data driven solutions to optimize and align experiences to our digital strategy. Essential Duties / Responsibilities : Create and Analyze Digital Analytics reporting from Google and Adobe Analytics Work with our experience team to identify data driven opportunities for optimization and improvement Create robust analysis of optimization tests and enhancements Conglomerate data from a variety of sources (Adobe Analytics, Behavioral Analytics Tool, Offline Data) into easy to comprehend reporting / dashboards Report and communicate digital campaigns results Support ad-hoc requests for insights Work with external teams including technical partners to ensure data integrity and enhance available information Manage multiple and concurrent projects, and initiatives, keeping them on schedule and within scope Analyze, document, and communicate results and data-driven recommendations of all initiatives and A / B / N tests to stakeholders regularly Model and identify trends within the digital experience Collaborate with Digital Experience Team, Designers, Developers, Content / SEO Team and Product Owners to provide data, insights and reporting needed to successfully execute digital strategy Minimum Requirements : 2+ years of relevant work experience Bachelor's Degree in Statistics, Mathematics, Economics, Business Intelligence or similar degree preferred Previous experience with Digital Ecommerce Analysis Proficiency with : Digital Analytics (i.e. Google Analytics, Adobe Analytics, mobile app analytics) R, Python, or similar language Data Analysis Familiarity with A / B / n and Multi-Variate Testing Strong analytical, organizational and project management skills with excellent verbal and written ability Proficiency with MS Office Preferred Qualifications : Energy experience preferred, but not required Familiarity with digital experience and optimization Working Conditions : Remote work position Some overtime required as special projects arise Travel N / A

Title : Digital Data Analyst Location : Remote Duration : 6 month plus Work Requirements : US Citizen, GC Holders or Authorized to Work in the US The Digital Data Analyst will be responsible for the reporting and analysis of digital data across a suite of consumer properties (prospect website, online account area, mobile apps). The candidate will be responsible for analyzing and reporting on the behavior of customers on all digital properties and working with teams across the department to provide data driven solutions to optimize and align experiences to our digital strategy. Essential Duties / Responsibilities : Create and Analyze Digital Analytics reporting from Google and Adobe Analytics Work with our experience team to identify data driven opportunities for optimization and improvement Create robust analysis of optimization tests and enhancements Conglomerate data from a variety of sources (Adobe Analytics, Behavioral Analytics Tool, Offline Data) into easy to comprehend reporting / dashboards Report and communicate digital campaigns results Support ad-hoc requests for insights Work with external teams including technical partners to ensure data integrity and enhance available information Manage multiple and concurrent projects, and initiatives, keeping them on schedule and within scope Analyze, document, and communicate results and data-driven recommendations of all initiatives and A / B / N tests to stakeholders regularly Model and identify trends within the digital experience Collaborate with Digital Experience Team, Designers, Developers, Content / SEO Team and Product Owners to provide data, insights and reporting needed to successfully execute digital strategy Working Conditions : Remote work position Some overtime required as special projects arise Travel N / A Minimum Requirements : 2+ years of relevant work experience Bachelors Degree in Statistics, Mathematics, Economics, Business Intelligence or similar degree preferred Previous experience with Digital Ecommerce Analysis Proficiency with : Digital Analytics (i.e. Google Analytics, Adobe Analytics, mobile app analytics) R, Python, or similar language Data Analysis Familiarity with A / B / n and Multi-Variate Testing Strong analytical, organizational and project management skills with excellent verbal and written ability Proficiency with MS Office Preferred Qualifications : Energy experience preferred, but not required Familiarity with digital experience and optimization Our benefits package includes : (EXCLUDE on perm placements) Comprehensive medical benefits Competitive pay, 401(k) Retirement plan and much more! About INSPYR Solutions : As a leading information technology partner, we connect top IT talent with our clients to provide innovative business solutions through our IT Staffing, Professional Services, and Infrastructure Solutions divisions. We understand and value the unique needs of highly-skilled information technology professionals in the industry and always strive to stay above the curve. Our company was founded on the following core values : Be the Best, Understand the Urgency, Never Ever Give Up, Have the Courage to Excel, and Make a Contribution. We take pride in our business model and strive to create a positive workplace environment through an exemplary culture. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

Demonstrate excellent communication skills and maintain a consistent record of delivering results in a fast-paced environment. Work in Cloud environments and have expertise in using object stores, and other common cloud-native data storage and processing frameworks. Demonstrate ability to design & implement performant, scalable, resilient, reliable, and understandable data pipelines. Exhibit deep expertise in modern data engineering approaches and awareness of leading technology trends. Work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large-scale data solutions in the enterprise, using modern data / analytics technologies on the cloud. Demonstrate strong interpersonal and communication skills (both written and verbal), including speaking clearly and persuasively in positive or negative situations. Tasks Analysing which data is important to the task at hand and which is irrelevant. Segregation, classification and analysis of data. Identifying major trends. Compilation of reports based on analysis, keeping in mind the end user’s requirements. Presentation of findings in the form of graphs, tables, charts and multimedia presentations. In some cases performing data mining tasks, for predictive or forecasting purposes. Design and maintenance of databases, including security issues. Requirements create reports for internal teams or clients outside the company. Join forces with other team members to gather and examine data. To visualize data, use graphs, infographics, and other techniques. Create KPIs to assess the success of business choices To obtain useful information, big data sets need be structured. Process information with a group of analysts and other colleagues. Make presentations and reports based on the results and recommendations. Benefits Paid time off Vision insurance Life insurance Health insurance Dental insurance 401(k) Effectively collaborate with teams for problem-solving and resolving issues. Liaison with multiple stakeholders to understand the business requirements and work with team members to support the product requirement mapping to the rest of the engineering track. Work with other team members to support high-quality delivery and keep a balance with customer focus to meet business needs. Experience in building Source to target mapping sheets in discussion with source SME's and businesses and working with data modelers and Data Engineers to build & validate the E2E data flow. Experience with automated tools to extract data from primary and secondary sources. Utilize technical expertise to ensure data is accurate and high-quality.