Data Analyst / Data Scientist

Role DescriptionWe are seeking a highly analytical and technically skilled Data Analyst / Data Scientist to transform complex data into meaningful insights that support strategic decision-making, operational efficiency, and business growth. In this role, you will collect, clean, process, analyze, and interpret data from multiple sources to identify trends, patterns, relationships, and opportunities. You will collaborate with cross-functional teams to understand business requirements, define analytical objectives, develop data-driven solutions, and communicate findings to both technical and non-technical stakeholders. Responsibilities include conducting exploratory data analysis, developing analytical models, creating dashboards and reports, monitoring key performance indicators, and providing actionable recommendations based on quantitative findings. You will utilize statistical methods, data visualization techniques, programming languages, and machine learning approaches to solve complex business problems and improve organizational performance. The role also involves developing and evaluating predictive models, performing data quality checks, automating analytical workflows, supporting data integration initiatives, and documenting methodologies and results. You will work closely with Technology, Product, Finance, Marketing, Sales, and Operations teams to identify opportunities where data can create measurable value. Success in this position requires strong analytical thinking, technical proficiency, attention to detail, effective communication, and a continuous learning mindset, along with a commitment to maintaining high standards of data accuracy, integrity, security, and confidentiality.QualificationsBachelor's degree or higher in Data Science, Data Analytics, Statistics, Mathematics, Computer Science, Artificial Intelligence, Information Systems, Engineering, Economics, or a related quantitative discipline.Strong understanding of data analysis, statistical methods, probability, quantitative research, data modeling, and analytical problem-solving techniques.Proficiency in SQL with the ability to query, extract, transform, join, and analyze data from relational and non-relational databases.Strong programming skills in Python, R, or similar programming languages for data analysis, automation, statistical modeling, and data processing.Familiarity with data visualization and business intelligence platforms such as Power BI, Tableau, Looker, or similar tools.Knowledge of data cleaning, preprocessing, exploratory data analysis, feature engineering, data validation, and data quality management.Understanding of machine learning concepts, predictive modeling, regression, classification, clustering, and model evaluation techniques is an advantage.Familiarity with analytical libraries and frameworks such as Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, or similar technologies.Understanding of relational databases, data warehouses, ETL processes, APIs, data pipelines, and data integration concepts.Strong analytical, critical thinking, and problem-solving skills with exceptional attention to detail and accuracy.Ability to communicate complex analytical findings and technical concepts clearly to both technical and non-technical stakeholders.Ability to develop reports, dashboards, statistical analyses, predictive models, and data-driven recommendations.Strong organizational and time management skills with the ability to manage multiple analytical projects, priorities, and deadlines.Familiarity with cloud platforms such as AWS, Microsoft Azure, Google Cloud, or modern data analytics environments is considered an advantage.Ability to collaborate effectively with cross-functional teams while demonstrating initiative, accountability, and independent problem-solving skills.Strong commitment to data privacy, security, confidentiality, responsible data usage, analytical integrity, continuous learning, and delivering high-quality data-driven solutions.