Remote Data Jobs • Data Analysis

Join our dynamic team at CI&T for an exciting project with an international client as a Mid Senior Data Specialist in Brazil. Responsibilities include ensuring data quality, creating dashboards with Power BI, writing SQL queries, analyzing data for insights, and managing data in cloud systems.

Analyze, review, and evaluate digital ads in English with a deep understanding of quality benchmarks. Set and uphold rating standards to support the training of AI models. Tackle complex, language-based tasks and provide guideline-aligned solutions. Collaborate with cross-functional teams to drive innovation and improve user experiences.

We are seeking a skilled Machine Learning Engineer to lead our efforts in understanding, predicting, and mitigating customer churn. In this role, you will develop and implement a data-driven retention strategy, impacting customer lifetime value and overall business growth. You will dive deep into customer data, identify churn drivers, build predictive models, and collaborate with cross-functional teams to design and optimize targeted intervention strategies.

Develop production data science applications in Python and design new AI services from scratch. Maintain and enhance current data science pipelines in complex high-load applications and collaborate closely with R&D and DevOps teams. Research, invent and adapt machine learning algorithms for dedicated business needs, perform predictive and statistical modelling, and perform ad-hoc analyses as required.

A Machine Learning Researcher researches, develops, and implements machine learning models to improve internal business operations, further analytical understanding, and/or create useful features to enhance Topstep’s product. MLEs will create reports, dashboards, and/or data-centric tools. This includes data gathering, cleaning, and validating phases, as well as exploration, analysis, feature engineering, training and model selection, launching, monitoring, and fine-tuning.

The Data & Analytics team at Sundays plays a key role in helping the business grow and scale, partnering closely with all areas of the business to uncover insights and guide decisions. As a Senior Data & Business Analyst, you will focus on building data proficiency across operations — driving deeper visibility into COGS, shipping costs, and margin performance — to improve financial forecasting and operational decision-making.

This entry-level role is ideal for recent graduates passionate about leveraging data to improve healthcare outcomes. The role involves performing data analyses, creating dashboards and visualizations, preparing reports and presentations, and supporting senior analysts in identifying trends and patterns using claims data. It requires ensuring data accuracy, resolving data issues, and collaborating with cross-functional teams to deliver high-quality analytics solutions.

The Senior Data Engineer will design and produce standardized reporting for stakeholders, develop and manage milestones for BI initiatives, and enhance the data warehouse using best practices. Responsibilities include analyzing complex table structures, prepping and cleansing data, and fulfilling adhoc reporting requests.

Serve as a liaison between USAF and Navy CMA offices and the enterprise modernization team, ensuring stakeholder needs are clearly documented and addressed in functional designs. The analyst will collaborate with cross-service stakeholders to gather, validate, and translate operational and policy requirements into actionable data and process improvements. This position focuses on enabling accurate, timely, and interoperable information flow across systems and organizations.

The Reporting Analyst will ensure accurate and timely program reporting through automation, visualization, and structured data analysis to enable informed decision-making across all stakeholders. The position involves maintaining the program deliverable tracker, documenting meeting minutes, developing automated reporting functions, and creating metrics dashboards using Power BI or similar tools.