Perform data analysis to support business decision-making. Utilize tools such as advanced Excel, power query, power Pivot and Power BI tools to analyze and interpret data. 1. Data Collection and Management -Gather data from various sources, including databases, spreadsheets, and external data sources. -Clean and preprocess data to ensure accuracy and consistency. -Manage and maintain data integrity and security. 2.Data Analysis -Use statistical methods and tools to analyze data and identify trends, patterns, and insights. -Conduct exploratory data analysis (EDA) to understand data characteristics and relationships. -Perform data mining and build predictive models when required. 3.Reporting and Visualization -Create reports, dashboards, and visualizations to present findings to stakeholders. -Use tools like Power BI, or Excel to design and build interactive dashboards. -Interpret and communicate complex data findings in a clear and actionable manner. 4.Collaboration and Communication -Work closely with other teams such as marketing, finance, and product development to understand their data needs. -Collaborate with data scientists and engineers to improve data collection and analysis processes. -Provide data-driven recommendations and support decision-making processes. -Strong attention to detail and ability to communicate complex ideas effectively. 5.Tool and Technology Utilization -Utilize data analysis tools and programming languages such as SQL, advance excel, Power BI, Macros, Power Pivot, Power Query and VLoopUps. -Work with databases and data management systems like SQL Server or MySQL. -Stay updated with the latest data analysis technologies and methodologies. Education and Experience & Skills Required for this position • A bachelor’s degree in a related field such as Data Science, Statistics, Computer Science, Mathematics, Economics or Accounting is typically required. • Advanced positions might require a master’s degree or relevant certifications (e.g., Certified Analytics Professional). • Relevant work experience or internships in data analysis or a related field can be advantageous. Technical Skills 1. Proficiency in data analysis tools and software (e.g., Advance Excel, SQL, Power Pivot, Power Query, VLookpUps) 2. Experience with data visualization tools (e.g.Power BI). 3. Knowledge of statistical methods and data modelling techniques. 4. Strong analytical and problem-solving abilities to interpret and analyse complex data sets. 5. Ability to identify patterns, correlations, and anomalies in data 6. Excellent written and verbal communication skills to convey findings and insights to non-technical stakeholders. 7. Ability to create clear and concise reports and presentations.