• Desenvolver, manter e aprimorar dashboards e relatórios em Power BI, assegurando alta qualidade visual, desempenho e confiabilidade das informações disponibilizadas. • Prestar suporte às áreas de negócio na interpretação de indicadores e na utilização das soluções analíticas, promovendo a tomada de decisão orientada por dados. • Elaborar, revisar e otimizar consultas SQL para extração, tratamento e transformação de dados em bancos relacionais e ambientes em nuvem. • Desenvolver scripts em Python para automação de processos, tratamento de dados e análises avançadas. • Apoiar a equipe de Engenharia de Dados nas atividades de ingestão, transformação e disponibilização de dados no Data Lake, atuando nas camadas Bronze, Silver e Gold. • Monitorar a qualidade, integridade e consistência dos dados nas camadas analíticas, identificando, investigando e reportando possíveis inconsistências e anomalias. • Documentar modelos de dados, pipelines de ingestão, processos de transformação e regras de negócio, garantindo rastreabilidade e padronização das informações. • Colaborar com equipes multidisciplinares na identificação de oportunidades de melhoria contínua dos processos de dados e analytics.

• Collect data from multiple sources, whether from databases or via data collection tools; • Data cleaning and preparation: process raw data to ensure it is clean, consistent, and ready for analysis. At this stage, remove any duplicate, corrupted, or blank records that could distort analysis; • Exploratory Data Analysis (EDA): perform exploratory analyses to understand data distributions and identify patterns and/or outliers that may indicate initial trends; • Report and dashboard development: create visual reports and dashboards using Certsys tools and/or client-provided tools that highlight key insights identified during collection, cleaning, and EDA; • Data modeling: actively participate in designing data models and database structures that support the organization’s analytical needs; • Statistical analysis: apply basic statistical techniques to understand relationships between variables, perform hypothesis testing, and conduct comparative analyses based on business rules; • Team collaboration: work with business teams, data scientists, and other professionals to gather analytical requirements and translate them into solutions; • Understanding business objectives: maintain a solid understanding of the organization’s business goals to ensure data analysis is aligned with company objectives; • Technical skill development: continuously improve technical skills, including programming languages such as SQL, Python, or R, and the latest data analysis tools; • Communication of results: effectively communicate data analysis results to technical and non-technical stakeholders, ensuring insights are actionable and can influence business decisions; • Identify opportunities to improve business processes based on data analysis findings.

• Oversee day-to-day administration and analysis of employee benefit plans, including health, dental, vision, life, disability, FSA/HSA/HRA, and retirement plans. • Ensure compliance with federal and state regulations such as ERISA, COBRA, ACA, and HIPAA privacy and security, and FMLA. • Analyze benefits utilization data to identify trends, recommend plan enhancements, cost-saving strategies, and ensure external competitiveness. • Maintain relationships with insurance carriers, consultants, brokers, and third-party administrators, ensuring service quality and adherence to contracts. • Serve as a secondary point of contact for complex benefits inquiries, provide guidance, and develop communication/education programs to enhance employee understanding and use of benefits. • Lead and participate in projects related to benefit programs, such as open enrollment, ERISA compliant benefit transitions of mergers and acquisitions, and plan implementations, and contribute to process documentation and improvement initiatives. • Prepare reports for compliance filings (e.g., 5500s, ACA reports), conduct regular audits of benefit plans and documentation, and reconcile departmental billing.

Role Description We have a current opening for an Informatics Analyst in our Scientific Affairs group. This position reports directly to the Associate Director of Data Management. Responsibilities - Informatics Project Management - Consult on and provide direct technical support for research projects of routine complexity. - Develop and maintain programs to perform analyses and generate both routine and ad hoc reports. - Generate ad hoc reports and regular datasets or report information for end-users using system tools and database or data warehouse queries and scripts. - Integrate data from multiple sources to produce requested or required data elements. - Summarize and report to internal leadership and external collaborators. - Provide input and feedback to leadership regarding data requirements, data ascertainment, and quality control and assurance. - Detect deficiencies and implement corrective action needed; follow up and completely resolve detected deficiencies. - Technical / Analytics - Liaise with clinical research staff, biostatisticians, Core Lab staff, and investigators at sites to support data transfers, data reconciliation, and analysis dataset generation. - Participate in the development of analysis datasets and prepare data for extraction and analysis. - Program and maintain report forms and formats, information dashboards, data generators, canned reports, and other end-user information portals or resources. - Engage and collaborate with stakeholders in cross-functional teams in the development of artifacts defining the workflow and technical specifications. - Generate data exports from databases via the development and execution of SQL queries. - Specify and develop data characterization programs and corresponding visualizations. - Lead the implementation, migration, and validation of research data systems. - Perform mapping of data structures and values from one dataset into another. - Participate in the design, development, and execution of data QA/QC activities. Qualifications - Possess a working knowledge of statistical principles and analysis considerations taken into account during the planning of research projects. - Strong organizational, analytical, and communication skills. - Minimum of 3 years of directly related experience in the clinical research field. - Bachelor’s degree. - Experience with one or more programming languages (e.g., R, SAS, Python) strongly desired. Requirements - The base salary range for this role varies by location and is aligned to market benchmarks. - Final compensation is determined based on location, experience, skills, and internal equity. - This role is eligible for a 15% target annual bonus. - Base Salary: $154,000 - $178,000 - Total Target Compensation (TTC): $177,000 - $204,000 Benefits - Stock options, paid benefits, and employee perks are part of your total rewards. Company Description Cleerly is a healthcare company that’s revolutionizing how heart disease is diagnosed, treated, and tracked. Founded in 2017, we raised $223M in Series C funding in 2022 and an additional $106M in December 2024. Our technology enables comprehensive quantification and characterization of atherosclerosis, helping prevent heart attacks. - Most of our teams work remotely with access to offices in Denver, New York, Dallas, and Lisbon. - We collaborate digitally using Google Workspace, Slack, Confluence/Jira, and Zoom Video. - Travel is required for some team meetings and cross-functional projects.