Role DescriptionThe Data Analyst (H/F) is responsible for collecting, processing, and analyzing complex datasets to provide actionable insights that support strategic and operational decision-making. This role involves close collaboration with cross-functional teams to identify business opportunities, optimize performance, and improve data-driven processes. The ideal candidate combines strong analytical skills, business acumen, and technical expertise to turn data into valuable intelligence.Key ResponsibilitiesCollect, clean, and validate data from various internal and external sources to ensure accuracy and consistency.Analyze large datasets to identify trends, patterns, and correlations that support key business decisions.Develop dashboards, reports, and visualizations that communicate findings clearly to non-technical stakeholders.Collaborate with business teams to define metrics, KPIs, and data requirements aligned with organizational goals.Conduct ad-hoc analyses to support financial planning, marketing, operations, and strategic projects.Use statistical and data modeling techniques to forecast outcomes, measure performance, and evaluate business initiatives.Provide actionable recommendations to improve efficiency, profitability, and customer experience.Maintain and optimize data collection systems, databases, and analytical tools.Work closely with IT and data engineering teams to improve data accessibility and reporting capabilities.Ensure compliance with data governance policies, security standards, and regulatory requirements.Document analytical processes, methodologies, and data sources for transparency and reproducibility.Present insights and reports to senior management and project stakeholders.Stay informed on emerging trends in data analytics, visualization, and predictive modeling to continuously enhance capabilities.QualificationsBachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.1–3 years of experience as a Data Analyst or in a similar analytical role (internship experience accepted for entry level).Strong proficiency in SQL and data analysis tools such as Python, R, or Excel (advanced level).Experience with data visualization tools such as Power BI, Tableau, or Looker.Solid understanding of statistical methods, data modeling, and hypothesis testing.Excellent analytical thinking, problem-solving, and critical reasoning skills.Strong attention to detail and accuracy in data interpretation and reporting.Effective communication skills with the ability to present complex information clearly and concisely.Familiarity with cloud-based data platforms (e.g., AWS, Azure, or Google Cloud) is a plus.Ability to work collaboratively in cross-functional teams and manage multiple priorities.A proactive and curious mindset with a passion for continuous learning and innovation in analytics.