Role Description Our client is hiring detail-oriented Marketing Data Entry Specialists to support their media buying and operations team. This role is primarily focused on inputting and maintaining Meta Ads data into internal dashboards and Google Sheets. This is not a creative marketing role—it is a precision-based, execution role where accuracy and consistency are critical. You’ll be handling structured, repetitive tasks that directly impact reporting and campaign performance tracking. Responsibilities - Accurately input Meta Ads data into dashboards and Google Sheets - Maintain and update campaign data (spend, performance metrics, campaign structure) - Review data for errors, inconsistencies, and missing information - Follow SOPs for data entry and reporting workflows - Support general administrative and data-related tasks - Ensure data is clean, organized, and up to date for the media buying team Qualifications - Fluent English with clear, neutral, and professional verbal communication - Proficiency in Google Sheets or Excel - Experience with Meta Ads or marketing data (preferred) - Familiarity with metrics such as CPA, CPC, and ROAS (preferred) - Previous experience handling or inputting ad performance data - Strong attention to detail and high level of accuracy - Proven experience in data entry or administrative role - Ability to follow structured, repetitive processes consistently Requirements - Available to work on weekends in any of these shifts: - Shift 1: 3:00 PM - 11:00 PM EST (Mon-Fri) - Shift 2: 8:00 AM – 4:00 PM (Weekends only) - (Please indicate your availability when applying.) Compensation - $8/hour – 16-hour schedule (weekends only): Approximate monthly earnings: $520 - $8/hour – 40-hour schedule (Monday–Friday): Approximate monthly earnings: $1,280

• Enter basic data into the systems, databases or spreadsheets • Use software tools such as Excel, Word, and Google Sheets • Continuously improve knowledge of products, services, and processes by participating in training programs and continuous learning modules • Collaborate with other departments as needed to resolve issues • Maintain a positive, empathetic, and professional attitude toward customers and colleagues at all times • Adhere to company policies and procedures • Meet or exceed performance targets for related KPIs

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.