Data Collection & PreparationGather and organize data from various sources, ensuring data integrity and accuracy.Clean, preprocess, and structure raw data for analysis.Data Analysis & InterpretationPerform descriptive and exploratory data analysis to identify trends, patterns, and outliers.Use statistical techniques to interpret data and generate actionable insights.Database Management & QueryingWrite and optimize SQL queries to retrieve data from relational databases.Maintain and update databases to ensure data is up-to-date and accurate.Reporting & VisualizationCreate data reports, dashboards, and visualizations using tools like Power BI, Excel to communicate insights clearly.Present findings to stakeholders in a clear and concise manner, providing recommendations for business decisions.Collaborating with TeamsWork closely with cross-functional teams, such as marketing, finance, or operations, to understand data requirements and support decision-making processes.Collaborate with data engineers and software developers to ensure data systems are efficient and scalable.Monitoring & Quality ControlMonitor data accuracy and integrity, identifying any issues that may arise and taking corrective action.Continuous Learning & ImprovementStay updated with the latest tools, techniques, and best practices in data analytics.Apply new analytical methods or tools to improve the quality of insights provided.

Data Collection & OrganizationAssist in gathering data from internal and external sources.Help in organizing and maintaining databases, ensuring data integrity and accuracy.Data Cleaning & PreprocessingSupport the team in cleaning and preparing raw data for analysis.Identify and resolve data quality issues, such as missing or inconsistent data.Basic Data AnalysisPerform basic exploratory data analysis (EDA) to uncover trends and patterns in datasets.Generate summary statistics and preliminary reports for the team.Report Generation & VisualizationAssist in creating simple data visualizations, charts, and dashboards using tools like Excel, Power BI.Help in preparing reports to communicate findings clearly to non-technical stakeholders.Querying DatabasesWrite and execute basic SQL queries to retrieve data from relational databases.Assist in optimizing queries under supervision to improve performance.Collaboration with TeamsWork closely with data analysts, engineers, and other departments to understand business data requirements.Participate in team meetings and contribute to discussions around data-related projects.Learning & Skill DevelopmentTake ownership of learning new tools, software, and analytical techniques relevant to data analysis.Stay updated on best practices and emerging trends in data analytics.Supporting Data ProjectsAssist in ongoing data-driven projects by providing research, data preparation, or analysis support.Help in developing data models and conducting basic statistical analyses under the guidance of senior analysts.Documentation & Process SupportDocument work processes and findings in an organized manner for future reference.Assist in maintaining data documentation and procedures.