Data Analyst & ML (Remote)

About the CompanyJobsultant Solutions is hiring on behalf of a global company operating in the energy industry. The organization uses technology, data, and analytical solutions to support informed business decisions and improve operational efficiency. This opportunity is designed for individuals who are interested in building a career in data analytics, data engineering, and Machine Learning. The company provides an environment where motivated professionals can develop their technical capabilities while working with real-world, large-scale datasets.About the RoleThe company is seeking an Entry-Level Data Analyst & ML Insights Specialist to join its remote team. The successful candidate will work with large datasets, perform data analysis, support data engineering activities, and use Machine Learning techniques to identify useful patterns and insights.The role provides an opportunity to apply academic knowledge to practical business problems. Responsibilities may include collecting, cleaning, organizing, and analyzing data; identifying trends and relationships within datasets; developing meaningful visualizations; and supporting Machine Learning-based analysis. Candidates who demonstrate strong performance and exceed the minimum qualifications may have opportunities for professional growth and increased responsibilities.QualificationsApplicants should ideally have a Bachelor’s degree or equivalent qualification in a STEM field, such as Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related discipline. This is an entry-level opportunity, so candidates with limited professional experience may be considered if they demonstrate strong analytical and technical abilities.Candidates should have a basic understanding of data analysis, data structures, statistics, and Machine Learning concepts. Academic projects, internships, coursework, or personal projects involving data analysis can be valuable.Skills & RequirementsThe ideal candidate should have programming experience in Python or R and a strong foundation in data visualization. Knowledge of tools and libraries commonly used for data analysis and visualization will be beneficial. Candidates should be comfortable working with large datasets and have an interest in discovering patterns and generating actionable insights.Strong analytical thinking, problem-solving ability, attention to detail, communication skills, and the ability to work independently are also important. Since the position is remote, candidates should be capable of managing their time effectively and collaborating with team members through digital communication tools.Equal OpportunityThe organization is committed to providing equal employment opportunities to qualified applicants. Employment decisions should be based on qualifications, skills, experience, and business requirements. The company supports an inclusive and respectful workplace and does not discriminate against employees or applicants based on legally protected characteristics.Overall, this position is a strong opportunity for an aspiring data professional to gain practical experience in Data Analytics, Data Engineering, and Machine Learning while working remotely in the global energy industry.