Role Description As an EDX Analyst, you will implement new file feeds for voluntary, life, and disability benefits by creating customized implementation plans, specifications, SFTP’s, and feed testing for various sized policyholders. You will process complex ongoing feeds to find and correct data issues, including eligibility and contract rules. Advanced knowledge of analytical techniques and ability to escalate issues as needed after data interpretation is required. EDX Analysts must be driven to learn more about business analysis, processes and systems to help develop skill set and set up quality feeds for end users. What you will do - Determine which activities are necessary in order to complete file feed processing from implementation to active production file management. - Develop processes that will be used to manage requirements. - Build relationships with business partners including users, vendors, project team, and management at all levels. - Utilize basic analysis techniques to measure the quality of the data exchanged using business analysis techniques during feed testing. - Develop a communication plan during feed implementation to meet the needs of all business partners. - Manage conflicts, issues and changes in order to ensure that stakeholders and the end users remain in agreement on the data exchange. - Utilize requirements and communicate them to stakeholders. - Maintain traceability of the requirements from planning through post-production phases of files to ensure quality of delivery. - Identify business needs, refine and clarify the definition of the needs and validate the solution meets the needs. - Prioritize and progressively elaborate stakeholder and solution requirements in order to enable the end user to implement a solution that will meet the needs of the organization and stakeholders. - Assess the proposed solution due to data limitations to determine which solution best fits the business need, identify gaps in the solution, and determine necessary workarounds or changes to the solution. - Process all first production files for newly implemented feeds to ensure data is clean and accurate before transitioning to production. Qualifications - High school diploma required. - Bachelor's Degree OR 4 years work experience required. - Experience with group insurance file feeds strongly preferred. - Highly deadline driven and able to work in a fast-paced environment. - Capacity to navigate multiple systems simultaneously for data research. - Contributes to a collaborative working environment and builds trust with others. - Ability to learn new software and systems. - Advanced Excel skills. - Advanced data analysis skills. - Project management. - Advanced problem solving and attention to detail. - Excellent verbal and written communication skills. - Results Driven. Requirements - Employer work visa sponsorship and support are not provided for this role. - Applicants must be currently authorized to work in the United States at hire and must maintain authorization to work in the United States throughout their employment with our company. Benefits - Flexible full-time or hybrid telecommuting arrangements. - Plan for your future with our 401(k) plan and take advantage of immediate vesting and company matching up to 6%. - Paid time away including vacation and sick time, flex days and ten paid holidays. - Give back to your community and double your impact through our company matching. Company Description Symetra is a national financial services company dedicated to helping people achieve their financial goals and feel confident about the future. In our daily work, we're guided by the principles of Value, Transparency and Sustainability. This means we provide products and services people need at a competitive price, we communicate clearly and openly so people understand what they're buying, and we design products--and operate our company--to stand the test of time. We're committed to showing up for our communities, lifting up our employees, and standing up for diversity, equity and inclusion (DEI). Join our team and help us create a world where more people have access to financial freedom.

Role Description Data Analyst - Strong experience in data analysis, business intelligence, dashboarding, and executive reporting. - Advanced SQL skills for querying, joining, validating, and analyzing large datasets. - Experience with BI tools such as Power BI, Tableau, Looker, ThoughtSpot, Superset, or similar platforms. - Strong ability to define and visualize KPIs, trends, cohorts, funnels, leaderboards, and drill-down views. - Experience analyzing user behavior, adoption, product usage, SaaS usage, or platform consumption data. - Ability to interpret data and create clear business narratives for leadership and operational teams. - Strong Excel or Google Sheets skills for ad hoc analysis, validation, and stakeholder reporting. - Comfortable working with data engineers to validate datasets, metric logic, and dashboard performance. This is a remote position. Qualifications - 6-8 Years of experience required. - Skills in Data Analytics & Insights: ignio AIOps. Requirements - Location: Houston, TX or US Remote. - Duration: 6-12 months. Company Description NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency.

• Collect, process, and load data from diverse sources • Elicit requirements from stakeholders • Develop integrations between different platforms • Create and improve Business Intelligence platforms • Ensure delivery quality through rigorous reviews

• Develop data solutions using Python, ensuring quality, performance, and scalability; • Develop and maintain REST APIs for integration between systems and applications; • Build, optimize, and maintain ETL/ELT data pipelines; • Process and transform large volumes of data using Apache Spark and PySpark; • Develop queries and analyses using SQL to support decision-making; • Participate in the development, training, validation, and monitoring of analytical and predictive models; • Apply statistical techniques and machine learning to generate insights and intelligent solutions; • Develop and integrate solutions using Generative Artificial Intelligence and Large Language Models (LLMs); • Integrate AI solutions into products, services, and business processes; • Ensure best practices for code versioning using Git; • Document solutions, pipelines, and data processes; • Work collaboratively with multidisciplinary teams in agile environments; • Contribute to the continuous evolution of data and AI engineering architecture and practices.