Senior Data Analyst
CurrentGather, process, and analyze data to provide meaningful insights that can guide business decision-making. Collect data from various sources, including databases, spreadsheets, surveys, and external data sets.Ensure data accuracy, completeness, and reliability.Clean and preprocess raw data to eliminate errors, handle missing information, and standardize formats.Transform and structure data for analysis.Use statistical methods and tools to analyze large datasets.Identify trends, patterns, and correlations within the data.Perform exploratory data analysis (EDA) to gain insights into the underlying data.Create clear and compelling visualizations (charts, graphs, dashboards) to communicate complex data insights to stakeholders.Use visualization tools such as Tableau, Power BI, etc.Generate reports summarizing key findings and actionable recommendations.Present findings to non-technical stakeholders in a clear and understandable manner.Build and implement predictive models to forecast trends, predict outcomes, or identify potential risks and opportunities.Utilize machine learning algorithms for predictive analytics.Work with databases to extract, transform, and load (ETL) data as needed.Query databases using SQL for data extraction and analysis.Collaborate with cross-functional teams, including business analysts, data engineers, and decision-makers.Interpret business requirements and align data analysis activities with organizational goals.Stay updated on industry trends, emerging technologies, and advancements in data analysis techniques.Continuously improve skills in data analysis tools and programming languages.Ensure the quality and integrity of data throughout the analysis process.Implement and adhere to data governance and best practices.Apply critical thinking and problem-solving skills to address business challenges through data analysis.Propose data-driven solutions to improve processes and decision-making.