Business Data Analyst

Job Description

Position Title: Business Data Analyst / Intelligence Department: Data Analytics / Business Intelligence Reports To: Head Business Administrator Job Location: Mumbai / Hongkong Employment Type: Full-Time Salary: Best in Industry Job Summary: The Data Analyst is responsible for collecting, analysing, and interpreting large datasets to support business decision-making. This role requires the ability to generate actionable insights, build data reports, and work with cross-functional teams to optimize business performance. The Data Analyst will collaborate closely with other departments to understand their data needs and deliver data-driven solutions that align with the company’s strategic objectives. Key Responsibilities: Data Collection & Management: Collect and aggregate data from various sources, including 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 in a clear and understandable way 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 key performance indicators (KPIs) and business metrics. Present findings to key stakeholders, making 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 timely basis Work closely with the existing MIS team to understand, analyse and interpret the data. Help design and implement new analytical tools and processes that improve data-driven decision-making across the company. 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. Work with legal and compliance teams to ensure data is used ethically and in accordance with 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: Bachelor’s/Master’s 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, capable of conveying data findings to both technical and non-technical audiences. Add On: Strong proficiency in data analysis tools such as Excel, SQL, Python, R, and data visualization tools like Power BI, Tableau or Oracle BI. 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 as well as in a collaborative team environment. Experience working with machine learning models and algorithms is advantageous. Show more Show less