Role Description One of TEKsystems customers is looking for a Data Entry Specialist that speaks fluent Mandarin. This is a Contract to Hire position based out of Boca Raton, FL. This is a fully remote position. Qualifications - Fluent in Mandarin Requirements - Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Application Deadline This position is anticipated to close on Jul 21, 2026.

Role Description IHME has an outstanding opportunity for a Data Analyst to join the Simulation Science team. Reporting to the Project Officer for the Simulation Science team, the Data Analyst is responsible for turning complex health data into actionable insights. This position supports key research projects by managing and shaping large datasets, ensuring data quality, providing computational support, extracting and formatting data, and providing key inputs for publications for multidisciplinary research projects. To succeed, Data Analysts must develop a strong understanding of diverse research priorities and analytic approaches across multiple projects, enabling them to adapt solutions that meet each project’s unique needs. They independently translate requests into actionable results, working with research databases, creating clear visualizations, and writing complex code to analyze quantitative data, so that findings can drive meaningful decisions. Success in this role requires agility with complex databases and fluency in Python (pandas, NumPy). Beyond technical expertise, you’ll ensure accuracy through rigorous quality checks and collaborate closely with other analysts to solve problems and share knowledge. As part of IHME’s commitment to innovation, you’ll also use emerging technologies to improve and enhance the research and our overall impact. Overall, the Data Analyst will be a critical member of an agile, dynamic team. IHME is a grant funded organization and this position is contingent on project funding availability. This position currently has funding through June 30, 2027. Key Responsibilities - Research command (15%) - Become familiar with substantive areas of expertise to understand the dimensions and uses of health data and the analytic underpinnings of different research streams. - Work directly with researchers to identify the source of data used in models and results, understand the context of the data, and ensure that they are relevant to the analyses themselves. - Data management and analytics (65%) - Create and document efficient, effective, and replicable methods for extracting data, developing code, organizing data sources, managing data quality, and explaining complex analytic processes. - Use protocols to identify problems with datasets and routine computational processes, rectify issues, and systematize data for future analyses. - Transform and format datasets for use in ongoing analyses; perform quality checks. - Transform and standardize datasets from a wide range of inputs such as surveys, vital registration systems, administrative records, and scientific literature. - Problem-solve computational and analytic challenges by investigating the data, understanding the root questions, and coming up with alternative measurement strategies. - Execute code solutions in order to answer analytic questions, perform diagnostics on results, and test and assess new methods. - Maintain, update, and carry out routine but complex computational processes and statistical modeling that are central to generating estimates of key indicators. - Maintain reproducible analytic pipelines in Python, version-controlled in Git. - Resolve intricate questions in order to respond to the needs of senior researchers and external requests from collaborators, media, policymakers, donors, and other stakeholders. - Use emerging technologies to optimize data workflows, enhance analysis and visualization, and assist with routine data quality checks and issue identification. - General (20%) - Create tables, figures, and charts for concept notes, presentations, publications, and proposals. - Provide referencing and other support for publications and presentations. - Communicate clearly and effectively while contributing as a member of the Institute. - Work closely with other team members to assist with relevant tasks, facilitate learning new skills, and help resolve emerging problems on different projects. - Other duties as assigned. Qualifications - Bachelor’s degree in social sciences, engineering, computer science, or related field plus two years’ related experience. - Proven experience and proficiency in using Python (pandas, NumPy) for data analysis tasks, including, but not limited to, data cleaning, transformation, visualization, and statistical evaluation. - Demonstrated ability to evaluate and integrate emerging technologies into data workflows to improve scalability, accuracy, and reproducibility of analyses. - Interest in global health, population health, and/or ways in which quantitative research and data science can be used to create valuable global public goods. - Experience working with large secondary datasets. - Strong written and spoken communication in English. - Demonstrated self-motivation, ability to absorb detailed information, flexibility, and ability to thrive in a fast-paced, energetic, highly creative, and entrepreneurial environment. - Ability to learn new information quickly and apply analytic skills to better understand complex information in a systematic way. - Strong quantitative aptitude. - Flexible attitude and interest in moving around to a variety of different research teams, getting a broader range of experience, rather than focusing on a particular research area or team. Requirements - Master’s degree in a relevant quantitative discipline. - Experience with household survey data (DHS, MICS, LSMS, or similar). - Familiarity with simulation modeling, microsimulation, or agent-based modeling. - Experience with Linux compute clusters. - Working knowledge of Git and collaborative software development practices. - Prior public-health or nutrition research experience. Working Conditions - Weekend and evening work sometimes required. - This position is open to anyone authorized to work in the US. - Working internationally is only allowed for IHME sponsored work that requires in-country participation. - Office is located in Seattle, Washington. This position is eligible to work fully remote in the US; work schedule required to overlap 50% of IHME office hours, between 8 a.m. and 6 p.m. Pacific Time as agreed upon between employee and supervisor. Additional Application Requirement This recruitment requires a cover letter. Applications that do not include a cover letter will not be forwarded to the hiring department. Please address the following in your cover letter: - An introduction - State the specific position for which you are applying - A summary of how your qualifications, skills, and experiences align with the key responsibilities and requirements of the position.

Role Description As a Senior Integration Solution Architect, you will be a vital Associate within our global digital technologies team. Our mission is to move past traditional "technical-only" integration and build a team of Segment Domain Experts. In this role, you will not just connect systems; you will deeply immerse yourself in the operational logic of our distinct business segments to design a seamless digital fabric that connects our global supply chains, factories, brand operations, and retail partners. The Five Principles in Action for This Role - Quality: Champion the delivery of robust, highly reliable, and secure integration solutions. - Responsibility: Take ownership of the integration landscape and proactively build your domain expertise. - Mutuality: Design integration frameworks with a "win-win" mindset. - Efficiency: Optimize our integration footprint, avoiding redundant custom builds. - Freedom: Have the creative freedom to innovate and implement forward-looking architectures. Key Responsibilities - Integration Strategy & Domain Architecture (Freedom & Quality): - Define, design, and govern enterprise-grade integration architectures across our hybrid-cloud ecosystem. - Act as a Segment Domain Expert to design integrations that solve real business problems. - Architect end-to-end integration flows connecting core enterprise systems. - Champion API-Led Connectivity and Event-Driven Architecture (EDA). - Establish reusable integration patterns, templates, and frameworks. - Technology Leadership & Platform Governance (Efficiency & Quality): - Provide deep architectural expertise and hands-on design leadership across core integration platforms. - Collaborate with DevOps and Platform squads to implement modern, automated CI/CD pipelines. - Stakeholder Collaboration & Mutuality (Mutuality): - Act as a trusted consultant to Business Partners and external partners. - Partner closely with security, data privacy, and compliance teams. - Present clear, value-driven architectural proposals to digital leadership. - Continuous Improvement & Associate Mentorship (Responsibility): - Drive a culture of Domain Excellence within the technical team. - Keep a pulse on emerging industry trends and steer the technology roadmap. - Establish a culture of shared learning; mentor junior integration architects and developers. Qualifications - CPG/FMCG Sector Experience. - Segment Domain Mindset. - MuleSoft Anypoint Platform experience. - Azure Integration Services expertise. - SAP BTP Integration Suite experience. - Solace PubSub+ experience. - OpenText B2B/EDI integration experience. - Expertise in modern protocols & formats. Requirements - Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a highly related field. - Professional certifications in relevant technologies are highly desirable. Benefits - Lead AI-powered transformation. - Make an impact on global enterprises. - Accelerate your career with hands-on experience and mentorship. - Work with a diverse team of bold thinkers. - Thrive in a values-driven culture.

Role Description Collaborates with business owners, data scientists, and data engineers to identify, prioritize and formulate relevant data analysis efforts. Collects, integrates, cleans and refines data and conducts Exploratory Data Analysis (EDA). Communicates results and implications to team members and internal customers. Creates user-friendly reports and dashboards and trains customers on their interpretation and use. Data Analyst I is distinguished from Data Analyst II by their applicable knowledge level and experience. Those in the later position would have the responsibility for performing more complex data analytics and designing experiments, with a sound understanding of Credit Union business operations, products and compliance requirements. Qualifications - 4 Year / Bachelors Degree - Business Analytics, Economics, Statistics, Finance, or closely related field - Required - 1 Year- Responsible business domain experience in data analytics - analytical experience in consumer finance preferred - Required - Experience with various data/analytical tools (e.g., Excel, SQL, SAS/SPSS, PowerBI, Tableau, Incorta) - Required - Experience with programming languages (e.g. Python or R) for data cleaning, exploratory/descriptive data analysis - Preferred Requirements - Conducts descriptive and exploratory analytics, understanding and communicating what a dataset can tell us about members, products, processes, competition, the economic environment, and marketing promotions. - Creates reports, visualizations and dashboards to answer business questions. Trains business customers on their interpretation and use. - Assesses data cleanliness and cleans data, ensuring accuracy, completeness, reliability, relevance and timeliness. - Continuously builds domain expertise in various credit union subject areas, such as marketing, underwriting, fraud, and servicing channels. - Completes all required training programs to maintain a current knowledge applicable to assigned duties and responsibilities, including regulatory compliance requirements. Benefits - Maintains a professional image and demeanor at all times, consistently demonstrating Credit Union RISE Values and adhering to the Code of Ethics. - Delivers friendly, caring service to internal and external members. - Complies with all applicable State, Federal and NCUA rules and regulations and all Credit Union policies and procedures. - Follows all physical and online security procedures and maintains strict confidentiality of all member information. - Completes all required regulatory and compliance training and maintains required knowledge of Credit Union products and services. - Works scheduled hours and maintains punctuality. - Performs other related duties as assigned or requested. Company Description Redstone Federal Credit Union is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status or status as an individual with disability. All qualified applicants will not be discriminated against on the basis of disability. We are proud to be a Drug-Free and Tobacco Free Workplace.