Statistical and Research Analyst - CNT

Description

**1\. PURPOSE OF THE SELECTION PROCESS:** 1\.1\. This selection process aims to recruit professionals to fill positions according to CNT’s needs. The process will consist of eliminatory and classificatory stages. 1\.2\. Candidates who pass the selection process may be called to assume the position within the validity period of the selection process, respecting the ranking order. POSITIONS, VACANCIES, AND SALARIES OFFERED 2\.. This Selection Process is intended to fill vacancies for hiring professionals for the positions listed below: **POSITION:** Statistical and Research Analyst \- CNT **EMPLOYMENT TYPE:** Indefinite-term employment contract, in accordance with the Consolidation of Labor Laws (CLT). 2\.1\. Work schedule and hours will be communicated to the approved candidate upon call; the candidate must inform availability for the established schedule. A candidate who declines the position due to the work schedule will be disqualified from the selection process. **WORKLOAD:** 44 hours (Forty-four hours per week) Education Bachelor’s degree completed in Statistics, Mathematics, Data Science, Data Analysis, or related fields. Postgraduate studies and/or Master’s degree preferred. Registration with the Regional Council of Statistics (CONRE). Requirements (Knowledge and Experience) Experience in data analysis and statistical modeling; Proficiency in data analysis tools and programming languages (e.g., Python, R, SQL, SAS, SPSS); Knowledge of machine learning techniques and predictive algorithms; Ability to work with large volumes of data (Big Data) and in advanced data analytics environments; Experience with data visualization tools (e.g., Tableau, Power BI, Looker, or similar); Written and oral communication skills, with ability to translate data into insights; Clear and concise writing skills; Strong analytical capability and attention to detail; Experience with cloud computing (Google Cloud, Azure). Job Responsibilities Develop and apply statistical models for complex data analysis; Conduct sampling planning and design survey questionnaires for market research; Collect, organize, structure, and interpret large volumes of data to identify trends, patterns, and insights; Collaborate with multidisciplinary teams to provide analytical support and assist in data-driven decision-making; Prepare and present reports, visualizations, and dashboards for internal and external stakeholders; Ensure integrity and quality of data used in analyses; Conduct exploratory and predictive analyses to support the company’s strategic initiatives; Develop and apply statistical models for transportation data analysis, such as passenger flow, mobility patterns, and demand for public transportation services. **ADVANTAGES:** Experience in data science projects applied to the transportation sector; Knowledge of natural language processing (NLP) or time series analysis techniques; Experience with computer vision; Familiarity with agile project development methodologies; Project management tools (ClickUp, Trello, Scopi).