Data Analytics Jobs

The Director of Data Analytics leads advanced data initiatives within the Digital Investigations & Cyber Risk division, supporting complex investigations and risk assessments. Key responsibilities include designing and executing ETL processes for diverse datasets, transforming unstructured data into analysis-ready formats, and developing custom analytics models using Python and SQL. The role also involves creating data visualizations for stakeholders and managing eDiscovery workflows. This position appeals to professionals seeking to work with a top-tier investigative firm on high-profile matters involving financial crime and cyber defense. The role offers a collaborative environment with a multidisciplinary team and opportunities to engage with global clients across multiple offices.

The Sr. Director, Risk Adjustment Data & Analytics role is a senior leadership position within Alignment Health's data operations team, dedicated to advancing Medicare Risk Adjustment programs. The individual oversees the end-to-end data ecosystem, ensuring integrity and compliance while leading a multidisciplinary team of analysts and engineers. Key responsibilities include driving analytical insights for executive decision-making, maintaining rigorous data governance for audit readiness, and partnering with finance and clinical stakeholders to optimize revenue and care outcomes. This position appeals to candidates seeking to lead high-impact work in a mission-driven organization that prioritizes senior care. The role offers significant growth opportunities within a fast-growing company and is available in a remote work arrangement.

This Data Scientist role at ManTech supports critical national security missions for the U.S. intelligence community and federal agencies. The position involves developing predictive models and algorithms to drive data-driven decisions while cleaning, validating, and interpreting complex structured and unstructured datasets. Key responsibilities include collaborating with cross-functional teams to define analytics strategies and communicating technical findings to non-technical stakeholders. The role appeals to candidates seeking to contribute to national security through advanced AI and machine learning work. It offers a collaborative environment with opportunities for professional growth and certification, requiring proficiency in Python, R, and SQL. A security clearance is preferred due to the sensitive nature of the work.

The Manager, IT Data role leads the Information Technology Team within the Information Technology Division at American Airlines. The position focuses on designing, implementing, and managing a cloud-based enterprise data analytics ecosystem, including data delivery, storage, and machine learning initiatives. Key responsibilities involve leading a team of data engineers to build scalable data pipelines, developing enterprise data strategies, and collaborating with cross-functional leaders to ensure secure and resilient data solutions. The role offers the appeal of working with emerging cloud technologies within a global aviation leader, providing opportunities for professional growth and mentorship. Employees benefit from extensive travel perks, comprehensive health and wellness programs, and a culture that prioritizes inclusion and diversity.

This full-time Data & I.T. System Analyst role is based onsite in Pinellas County, Florida, within a non-profit organization dedicated to serving individuals with mental disabilities, veterans, and youth. The position serves as the internal subject-matter expert for state behavioral health reporting and enterprise data analytics, reporting directly to the Director of Information Technology. Key responsibilities include leading Florida state reporting submissions, reconciling data with accounting and finance teams to ensure revenue integrity, and developing KPI dashboards using tools like SQL and Power BI. The role appeals to candidates seeking to leverage technical skills in a mission-driven environment where data accuracy directly supports organizational sustainability and community impact. The position offers the opportunity to collaborate across clinical, executive, and IT teams to drive strategic decision-making and operational excellence.

The Permian Development Analytics Specialist role is a full-time position within ExxonMobil's Upstream business, based at the Houston campus. The position leverages data science and reservoir engineering to optimize the Midland Basin development program through advanced analytics and automated workflows. Key responsibilities include owning end-to-end analytics processes, applying machine learning to production surveillance and inventory management, and mentoring team members on data tools. The role appeals to professionals seeking to drive sustainable energy solutions within a collaborative environment that fosters innovation. The company offers a supportive culture with comprehensive benefits, including a pension plan and workplace flexibility programs, while providing opportunities for professional growth in a leading energy organization.

This remote Data Scientist role supports U.S. Customs and Border Protection within the Washington DC Metro Area. The position involves applying advanced statistical analysis, machine learning, and data mining to transform raw data into actionable insights for government clients. Key responsibilities include designing predictive models, developing complex visualizations, and conducting quantitative simulations to solve real-world problems. The role appeals to candidates seeking a collaborative, people-centered culture at a fast-growing consulting firm that values continuous learning and work-life balance. The company offers a supportive environment with flexible time off, low travel requirements, and opportunities to contribute immediately to cutting-edge solutions. Candidates must hold a relevant advanced degree and possess a valid security clearance.

This senior analyst role within Bank of America's Client Protection organization focuses on developing strategies to detect and prevent financial center fraud, specifically targeting impersonation attempts at teller counters. The position involves performing complex data analysis using tools like SAS, SQL, and Tableau to assess fraud risks, build predictive models, and propose policy changes that minimize loss while protecting the customer experience. Key responsibilities include collaborating with cross-functional teams to coordinate investigations, preparing performance reports for senior leadership, and staying ahead of emerging criminal tactics. The role appeals to professionals seeking to make a tangible impact in a mission-driven environment that values responsible growth and inclusive teamwork. While the position requires an in-office presence in Chicago or Boston, it offers opportunities for professional development and working within a dedicated team of fraud experts.

This entry-level position is part of SynergisticIT's Job Placement Program, designed to bridge the gap between academic training and real-world hiring expectations for data analysts and engineers. The role involves providing interview-focused coaching and technical training to recent graduates and career changers, emphasizing hands-on project development and end-to-end system design skills. Key responsibilities include preparing candidates for technical rounds through practical exercises in data structures, API design, and cloud deployment while offering support for visa processing and resume optimization. The opportunity is appealing for its targeted approach to transforming candidates from 'almost hired' to offer-ready, leveraging a track record of placing professionals with major technology and finance firms. The program operates remotely with a focus on high-demand technology stacks including Python, Java, and machine learning.

This listing describes a Job Placement Program rather than a specific open position. The program assists candidates in securing junior roles such as Data Scientist, Data Engineer, or Software Developer within major technology companies. Participants engage in structured skill-building to master real-world tools like version control, APIs, and cloud deployment, while receiving support with resume positioning and interview preparation. The initiative is designed for recent graduates, career switchers, and professionals seeking to bridge the gap between academic knowledge and employer expectations. It offers a guided pathway to employment with a focus on building job-ready portfolios and confidence in technical workflows. The program also provides guidance on visa processes for international candidates and connects qualified individuals directly with hiring partners.

This 24-month onsite role at a major financial institution in McLean, VA, involves partnering with stakeholders to drive business decisions through data. Key responsibilities include codifying methodologies into functional code, building automation dashboards using SAS, Python, and React, and performing advanced statistical analysis to support line of business areas. The position offers the appeal of working with a top-ranked staffing firm known for career growth and work-life balance, providing access to Fortune 100 clients and a comprehensive benefits package including health coverage and 401K.

This role is a technical support position within the IT department, designed to assist end-users with hardware, software, and network issues. Key responsibilities include troubleshooting system problems, providing first-line help desk support, maintaining hardware and software inventory, and coordinating software releases. The position offers an opportunity to gain broad experience across multiple technology stacks while working in a collaborative environment focused on resolving complex technical challenges. The role supports both internal staff and external clients, ensuring smooth daily operations through effective system maintenance and user training.

This role is a junior-level position within the Data Science and Engineering track at SynergisticIT, designed to bridge the gap between academic learning and real-world hiring expectations. The position focuses on developing hands-on experience through end-to-end project work, including API design, system architecture, and cloud deployment, while preparing candidates for technical interviews. It appeals to recent graduates and professionals seeking to refine their problem-solving skills and master current technology stacks. The opportunity offers a structured path to employment with top-tier companies and includes support for career advancement and visa processing where applicable. The work arrangement is remote.

This opportunity targets recent Computer Science, IT, or Data Science graduates seeking entry-level roles in software engineering or data science. The position focuses on developing skills in Java full-stack development, data analytics, and machine learning to meet current market demands. Key responsibilities include building production-ready projects, mastering modern tech stacks, and preparing for technical interviews to demonstrate immediate value to employers. The program appeals to candidates by offering a structured, placement-focused pathway that bridges the gap between academic theory and real-world application. It provides mentorship to help graduates build robust portfolios and gain confidence in system design and data analysis. The arrangement supports both domestic and international students, including those on F-1/OPT visas, with guidance on long-term career stability and work authorization processes.

This role serves as a technical support position focused on resolving hardware, software, and network issues for end users. Key responsibilities include performing first-line troubleshooting, maintaining system inventory, configuring hardware and software, and providing user orientation on operations. The position also involves developing applications and coordinating solutions for system-level problems. The role appeals to candidates seeking hands-on experience in IT support and system maintenance within a collaborative environment. The work arrangement is described as remote, offering flexibility for professionals looking to build foundational technical skills while supporting internal operations.

This role is a hybrid position within SynergisticIT that combines junior data science and engineering tasks with Java and MERN stack development responsibilities. The position focuses on building scalable applications, designing APIs, and managing database systems while providing technical support for hardware and software issues. Key duties include troubleshooting network problems, maintaining system inventory, and assisting with software releases and user orientation. The opportunity appeals to recent graduates or career changers seeking to bridge the gap between academic learning and real-world industry expectations. It offers a collaborative environment focused on mastering high-demand technologies like machine learning, cloud deployment, and full-stack development. The role is available remotely and is designed for candidates aiming to secure positions at major technology firms through practical, project-based experience.

This role is a career coaching and placement program designed for junior data analysts, engineers, and scientists seeking full-time employment in the tech sector. The program focuses on bridging the gap between technical knowledge and interview performance by providing structured mock interviews, project narrative refinement, and technical foundation strengthening. Key responsibilities of the service include simulating real-world technical screens, offering feedback on problem-solving under constraints, and guiding candidates through behavioral and system design rounds. The opportunity appeals to professionals who struggle to convert interviews into offers, providing a supportive environment to build confidence and demonstrate value to employers. The program operates remotely and includes assistance with visa processes where applicable, aiming to transform job seekers into employer-ready candidates through targeted preparation and practice.

This Engineer or Senior Engineer role within American Airlines' IT Data domain focuses on designing and implementing scalable data solutions to drive business insights and operational reliability. Key responsibilities include building batch and streaming data pipelines using Microsoft Azure services, managing data migration and governance, and leading DevOps practices for cloud infrastructure. The position offers the opportunity to mentor team members, establish coding standards, and work on high-impact projects involving machine learning and AI. The role is appealing due to the company's commitment to diversity and inclusion, access to extensive travel perks, and a supportive culture that encourages professional growth and work-life balance.

This position is part of a Job Placement Program designed to prepare candidates for entry-level roles in Java development, data science, and data engineering. The program focuses on bridging the gap between academic knowledge and employer expectations through structured skill-building, real-world project development, and interview readiness coaching. Key responsibilities include refining resume positioning, mastering industry tools like version control and APIs, and demonstrating hands-on ability in clean coding and debugging workflows. The opportunity appeals to recent graduates, career switchers, and professionals seeking to re-enter the workforce by providing a clear pathway to employment with major technology and financial brands. Participants receive ongoing support throughout the job search process, including guidance on STEM extensions and visa filing assistance for qualified international candidates.

This entry-level opportunity targets candidates seeking to transition into Data Science or Java Full Stack development roles through a structured placement program. The role involves intensive skill-building in real-world tools such as version control, APIs, and cloud deployment, alongside resume optimization and interview coaching to align with current employer expectations. Participants gain hands-on experience with project depth and teamwork workflows required by major technology and financial firms. The program is particularly appealing for recent graduates, career switchers, and professionals with employment gaps who need a guided pathway to secure full-time positions. It offers a clear process to bridge the gap between academic learning and job-ready capabilities, with support available for visa-related employment processes once hired.

This position is a career development program rather than a direct employment role, designed to prepare candidates for Java microservices and junior data analyst opportunities. The program focuses on optimizing resumes, building real-world project depth, and preparing candidates for technical interviews to bypass automated hiring filters. Participants receive guidance on aligning their skills with current market demands in Java, full stack, and data analytics fields. The offering appeals to recent graduates, career switchers, and professionals with employment gaps by providing a structured path to secure roles at major technology and financial organizations. The program includes support for interview readiness and negotiation, with additional assistance available for visa-related processes upon securing employment.

This entry-level opportunity targets recent Computer Science, IT, or Data Science graduates seeking to transition into full-time roles as Data Engineers, Data Scientists, or Backend Developers. The position focuses on building production-ready skills through a structured pathway that emphasizes real-world projects, modern tech stacks like Java and Python, and interview preparation. Key responsibilities include developing scalable software solutions, managing data pipelines, and demonstrating end-to-end system capabilities to meet client needs. The role is appealing due to its placement-focused approach designed to bridge the gap between academic theory and industry demands, offering candidates a clear roadmap to employment with major organizations. The position is fully remote, providing flexibility for new graduates to launch their careers in high-demand technology sectors.