Business Data Analyst

As a Business Data Analyst / Intelligence, your role involves collecting, analysing, and interpreting large datasets to support business decision-making. You will be responsible for generating actionable insights, building data reports, and collaborating with cross-functional teams to optimize business performance. **Key Responsibilities:** - **Data Collection & Management:** - Collect and aggregate data from various sources such as databases, spreadsheets, people, and external platforms. - Ensure data integrity and accuracy by organizing and validating datasets. - Develop and maintain databases or data information systems as necessary. - **Data Analysis:** - Perform detailed data analysis using statistical techniques to identify patterns, trends, and insights. - Utilize data visualization tools to present data clearly for non-technical stakeholders. - Analyse large and complex datasets to solve business problems and inform decisions. - **Reporting & Visualization:** - Create reports, dashboards, and visualizations to track KPIs and business metrics. - Present findings to key stakeholders and make recommendations based on data insights. - Provide ad-hoc reports and data queries as needed by different teams within the organization. - **Collaboration with Teams:** - Work closely with business units (Sales, finance, operations, etc.) to collect data on a timely basis. - Collaborate with the existing MIS team to understand, analyse, and interpret data. - Help design and implement new analytical tools and processes to improve data-driven decision-making. - **Predictive Analytics & Forecasting:** - Use statistical models and machine learning techniques to forecast trends and predict future outcomes. - Assist in developing predictive models to support strategic planning and operational decisions. - **Data Governance & Compliance:** - Ensure adherence to data privacy regulations and best practices in data security. - Collaborate with legal and compliance teams to ensure ethical data usage according to company policies. - **Process Improvement:** - Identify opportunities for process improvement through data-driven insights. - Recommend data collection methods and tools to enhance the quality and efficiency of business processes. - **Data Quality Assurance:** - Regularly review and assess the quality of data. - Implement processes for ongoing data validation and verification to minimize errors. **Qualifications:** - **Education:** Bachelors/Masters degree in Data Science, Computer Science, or a related field. - **Experience:** 3 - 6+ years of experience in data analysis or a related field. - **Skills:** - Experience with statistical analysis and predictive modelling. - Ability to interpret complex data sets and translate findings into actionable business insights. - Strong communication and presentation skills for technical and non-technical audiences. **Additional Details:** - **Tools Proficiency:** Strong proficiency in data analysis tools such as Excel, SQL, Python, R, and data visualization tools like Power BI, Tableau, or Oracle BI. - **Database Knowledge:** Knowledge of databases and experience with relational databases (e.g., MySQL, PostgreSQL). **Additional Requirements:** - Strong attention to detail and analytical thinking. - Ability to work independently and collaboratively in a team environment. - Experience working with machine learning models and algorithms is advantageous.,