Jobs at Welo Data

The Data & Analytics Specialist role supports the Director of Product and Engineering by transforming complex HR, payroll, and benefits data into actionable insights. Key responsibilities include designing and maintaining custom reports using PrismHR Report Center and SQL, developing Power BI dashboards, and ensuring data accuracy across the organization. The position requires collaborating with cross-functional teams to define metrics, optimize query performance, and automate recurring reporting tasks. This opportunity appeals to candidates seeking a collaborative environment where they can leverage their technical skills to drive operational efficiency and support strategic decision-making. The role offers a hybrid work arrangement with three days in the office and two days remote.

This yearlong internship places a college student within the Strategic Business Initiatives department of the Chicago Transit Authority to support data-driven decision-making. The role involves analyzing project requests, developing analytical programs using tools like Python, AWS, and Power BI, and presenting findings to internal stakeholders. Key responsibilities include testing project requirements and making necessary adjustments to ensure data accuracy. The position offers valuable professional development through mentorship from subject matter experts and exposure to one of the nation's largest transit systems. While the role is primarily based at the CTA Headquarters in Chicago with a requirement to work on-site twice per week, it provides a flexible schedule of 15 hours weekly during the school year and full-time hours during the summer.

This senior-level architecture role within the Team Innovation department focuses on designing and maintaining scalable, secure data infrastructure to support analytics and automation initiatives. The position involves leading cloud-based pipeline development, serving as the primary technical liaison for vendor delivery engagements, and establishing data governance standards. Key responsibilities include building data models, implementing security protocols like Row-Level Security, and optimizing cloud resource costs. The role appeals to candidates seeking a collaborative culture with a strong emphasis on continuous learning and professional development. It offers flexible work arrangements, including remote options, and supports work-life balance through initiatives like summer Fridays.

This senior staff data scientist role serves as the technical architect and strategic leader for DailyPay's Personalization and AI Platform. The position focuses on designing end-to-end machine learning systems for user experience optimization, real-time inference pipelines, and robust data infrastructure. Key responsibilities include translating complex business problems into technical roadmaps, establishing data quality standards, and mentoring a growing team of data scientists. The role appeals to candidates seeking high-impact work in the fintech sector, offering the chance to shape the future of on-demand pay solutions. DailyPay fosters a high-trust, inclusive culture that values intellectual honesty and collective success, providing unlimited PTO, equity ownership, and comprehensive benefits in a hybrid work environment.

This senior-level data science role at Ochsner Health drives healthcare innovation by developing advanced machine learning algorithms and predictive models to optimize patient outcomes and financial efficiency. The position involves leading the design and deployment of computational solutions across business units, establishing best practices for data pipelines and software development, and mentoring junior team members. Key responsibilities include translating complex data concepts into strategic business initiatives for executive stakeholders and aligning analytics goals with organizational objectives. The role appeals to candidates seeking to make a tangible difference in healthcare through a mission-driven culture that values innovation and leadership. While specific work arrangements vary by location, the position emphasizes cross-functional collaboration and offers opportunities for professional growth within a supportive technical environment.

This Data Engineer role involves leading data engineering activities for mission-driven projects in sectors like national intelligence and healthcare. The position focuses on designing, building, and maintaining scalable ETL workflows and platforms to process structured and unstructured data using Python and SQL. Key responsibilities include overseeing pipeline development, mentoring multi-disciplinary teams in an agile environment, and ensuring the operational success of complex data science applications. The opportunity is appealing due to the chance to use data for significant societal impact, work with cutting-edge technologies like IoT and machine learning, and participate in a people-first culture that supports professional growth and work-life balance. A Secret clearance is required, and the work arrangement may be remote, hybrid, or onsite depending on specific project needs.

This Principal Data Science Engineer role focuses on developing AI and machine learning algorithms to enhance organ preservation technology and improve patient outcomes in the healthcare sector. The position involves managing the end-to-end lifecycle of data-driven software products, designing clinical decision support models, and ensuring strict adherence to regulatory standards like HIPAA and GDPR. Key responsibilities include collaborating with clinical and engineering teams to translate medical needs into technical solutions, implementing secure data handling practices, and guiding algorithmic strategy. The role is appealing due to its mission-driven environment where employees contribute directly to saving lives by expanding access to viable donor organs. The position offers opportunities for professional growth within a collaborative culture and includes limited domestic and international travel.

This Senior Data Analyst role supports Sedgwick Government Solutions in delivering high-impact analytics to federal healthcare clients. The position involves leveraging advanced descriptive, diagnostic, and predictive analytics to transform complex data into actionable insights for internal and external stakeholders. Key responsibilities include designing and presenting data visualizations using Power BI and SQL, optimizing reporting processes, and collaborating with project teams to develop new analytical methodologies. The role appeals to professionals seeking a mission-driven environment where taking care of people is central to the work, offering opportunities to act as a subject matter expert in healthcare data trends. While the job is based in Columbus, Ohio, it offers remote flexibility with minimal travel requirements.

The Senior Data Integrity Specialist role serves as a subject matter expert within the Quality Assurance department, focusing on GxP compliance for drug and device products. Key responsibilities include managing the Data Integrity Governance program, developing and approving policies in collaboration with IT and manufacturing teams, and leading risk-based remediation efforts. The position also involves supporting regulatory inspections and delivering training to staff across the organization. This opportunity appeals to professionals seeking to drive continuous improvement and influence cross-functional initiatives within a multicultural pharmaceutical environment. The role requires strong project management skills and offers a chance to shape compliance strategies while working in a clean, professional setting.

The Principal Clinical Data Manager role at Everest Clinical Research leads data management activities for global clinical trials within a full-service CRO. The position involves overseeing database design, validating electronic data, resolving complex queries, and managing team resources to ensure high-quality deliverables. Key responsibilities include developing data management plans, leading user acceptance testing, and mentoring staff on data flow and quality control processes. This opportunity appeals to experienced professionals seeking a dynamic environment with a strong focus on quality and customer service. The role offers flexibility through remote work options across the USA or an on-site position in Bridgewater, New Jersey, supporting career growth within a rapidly expanding organization.

The Senior Technical Product Owner role leads the strategy and delivery of the Data Security Platform, a critical system designed to protect sensitive information and manage access controls. The position involves defining the product vision and roadmap, translating complex privacy and compliance requirements into actionable features, and collaborating with cross-functional teams in security, engineering, and governance to ensure timely execution. This opportunity appeals to professionals seeking to drive meaningful impact within a large, regulated healthcare organization dedicated to improving lives. The role offers a hybrid work arrangement and provides a supportive culture with comprehensive benefits focused on employee well-being and professional growth.

The Data Center Construction Manager role within AWS Infrastructure Services involves leading the design, planning, and execution of large-scale data center projects. Key responsibilities include managing construction vendors, overseeing electrical and mechanical systems, conducting constructability reviews, and controlling project scope, schedule, and quality. This position offers the appeal of working on industry-leading, energy-efficient facilities while collaborating with a diverse team of engineers and specialists. The role emphasizes an inclusive culture that values ownership, continuous learning, and work-life harmony, requiring daily on-site presence at the construction location.

This full-time on-site role supports the logistics department by managing administrative and operational workflows within the warehouse. Key responsibilities include entering data into the Warehouse Management System, coordinating inbound and outbound truck schedules, resolving inventory discrepancies, and communicating with material handlers to ensure timely order fulfillment. The position appeals to detail-oriented individuals seeking a collaborative environment where they can develop leadership skills and contribute to departmental goals. The role offers opportunities for professional growth through training and team initiatives, with a structured day shift schedule at the Atlanta facility.

This full-time Data Center Project Manager role is based within a leading construction firm specializing in data center projects across the United States. The position involves overseeing the complete lifecycle of construction initiatives, from initial planning and design through to final execution, ensuring strict adherence to budget and timeline constraints. Key responsibilities include developing comprehensive project plans, coordinating with diverse internal and external stakeholders, and managing resources to maintain safety and quality standards. The role is particularly appealing for professionals seeking to work on cutting-edge infrastructure projects with significant opportunities for career advancement. Candidates will benefit from a dynamic work environment that values safety, innovation, and professional growth within the heavy industrial and engineering sectors.

This full-time Big Data Analyst role supports Vantor's spatial intelligence mission within a multi-faceted software development and systems administration team. The position requires on-site presence in Herndon, Virginia, with occasional travel to Springfield, Virginia. Key responsibilities include performing dataset evaluations to inform government decision-making, shaping data engineering approaches for analytic improvements, and collaborating with software developers to validate technical implementations. The role appeals to problem solvers seeking to work with massive data footprints and open-source tools in a fast-paced environment where iterative prototyping drives mission success. Candidates will directly impact special operations analysts and contribute to solving unique intelligence challenges while working with diverse technical data types.

The Principal Data Analyst role serves as a trusted analytical partner to Long Term Care Claims Operations leadership at Genworth, focusing on translating complex data into strategic insights. Key responsibilities include designing scalable Power BI solutions, developing advanced SQL queries for forecasting and capacity planning, and ensuring data quality across enterprise systems. The position requires mentoring junior staff and presenting actionable narratives to senior executives. This opportunity appeals to candidates seeking a purpose-driven career within a compassionate culture that values diversity and community impact. The role offers a hybrid work arrangement in Richmond, Virginia, and supports professional growth through extensive training and upskilling resources.

The Senior Data Platform Solution Architect role involves designing and delivering secure, scalable data and analytics solutions for a global healthcare organization. Key responsibilities include translating complex business needs into practical system designs, overseeing data platform architecture including storage and pipelines, and guiding engineering teams to implement cost-effective solutions that support AI and advanced analytics. This position appeals to candidates seeking to drive meaningful impact by improving health outcomes through robust data infrastructure. The role offers a collaborative environment with opportunities to work with cross-functional teams and stay current on emerging technologies. The position supports a hybrid work arrangement with remote flexibility, requiring a reliable high-speed internet connection for home-based work.

The Senior Financial Data Analytics Analyst role supports the Procurement and Financial Shared Services team at Vail Resorts, a global leader in destination resorts. The position focuses on optimizing Extract, Transform, and Load workflows using Alteryx and SQL, while developing financial and procurement dashboards with Power BI. Key responsibilities include ensuring data integrity, driving process automation, and providing analytical insights to support cost savings and strategic decision-making. This opportunity appeals to candidates seeking career growth within a high-performing team that prioritizes innovation and leadership development. The role offers a hybrid work arrangement for those based near the Broomfield office, combining on-site collaboration with remote flexibility. Additionally, employees enjoy unique perks such as free ski passes, lodging discounts, and comprehensive professional development programs.

This Data Scientist role at Booz Allen involves building advanced technology solutions and implementing data engineering activities for mission-driven projects. The position focuses on developing scalable data pipelines, creating ETL/ELT workflows, and processing structured and unstructured data to support business analysis. Candidates will collaborate with a multi-disciplinary team in a fast-paced, agile environment to design and maintain platforms that make disparate data meaningful. The role appeals to those seeking professional growth through exposure to cutting-edge tools like Palantir Foundry and opportunities to work on impactful defense and government initiatives. The work arrangement offers flexibility with remote, hybrid, or onsite options depending on specific project needs, supported by a people-first culture that values collaboration and continuous learning.

This senior data scientist role at Booz Allen involves leading data science initiatives to solve complex global challenges across private and public sectors using IoT, machine learning, and artificial intelligence. Key responsibilities include performing data exploration and mining with Python, R, or SQL, developing predictive models for activity-based intelligence, and guiding teams to translate disparate data into actionable client insights. The position offers the appeal of working on high-impact projects ranging from fraud detection to national intelligence within a people-first culture that values collaboration. While the work arrangement varies by project, opportunities exist for remote, hybrid, or onsite engagement, often requiring a Top Secret clearance.

This full-time Manager Data Science role leads a specialized Generative AI team within AIG's global insurance division, focusing on transforming risk management through innovative AI solutions. The position involves overseeing the end-to-end development and production deployment of enterprise-level generative AI projects, building evaluation frameworks for large language models, and mentoring junior data scientists. Key responsibilities include executing technical delivery plans, collaborating with cross-functional product and engineering teams, and maintaining hands-on involvement in prompt engineering and agentic architectures. The role is appealing for its opportunity to shape the future of AI in a leading global organization, offering a culture of inclusion, professional development, and the chance to work on groundbreaking technology. The position requires primarily in-office collaboration to foster a connected and supportive team environment.

This senior data analytics engineering role supports ThriftBooks' mission to distribute books sustainably by building and maintaining robust data infrastructure. The position focuses on developing transformed data sets using dbt, managing Snowflake warehousing, and constructing ELT pipelines with tools like Fivetran. Key responsibilities include mentoring junior engineers, collaborating with business partners to solve data challenges, and ensuring high data quality and governance. The role offers a hybrid work arrangement with flexibility between remote and the Tukwila, WA office, along with limited travel for collaboration. It appeals to candidates seeking a culture that values internal growth, teamwork, and professional development within a friendly, mission-driven environment.

This senior AI and data science role at Cargill leads the end-to-end development of artificial intelligence models to optimize supply chain decision-making. The position involves extracting and integrating complex data, performing advanced forecasting and optimization, and deploying machine learning solutions into core business workflows. Key responsibilities include ensuring model accuracy, establishing engineering patterns for generative AI, and communicating technical results to diverse stakeholders. The role appeals to candidates seeking to drive measurable business impact within a global organization committed to sustainable food and agricultural solutions. It offers the opportunity to work with expansive data sources while collaborating across cross-functional teams to operationalize data science. The position is based in Minnesota and supports a culture that prioritizes people and continuous learning.