Business Data Analyst / Senior Data Analyst

The Business Data Analyst / Senior Data Analyst is responsible for collecting, analyzing, and interpreting business data to support strategic planning, operational efficiency, and data-driven decision-making. The role involves developing reports and dashboards, identifying trends and business opportunities, monitoring key performance indicators (KPIs), and providing actionable insights to management. The Senior Data Analyst also leads complex analytical projects, improves reporting processes, and supports business strategy through advanced data analysis.

Key Responsibilities

• Collect, clean, validate, and analyze data from multiple sources to ensure accuracy and reliability.

• Develop and maintain dashboards, reports, and data visualizations to monitor business performance.

• Analyze sales, revenue, customer behavior, operational performance, and financial data to identify trends and opportunities.

• Define, track, and evaluate KPIs to support business objectives and performance management.

• Translate complex data into clear, actionable insights and recommendations for management.

• Collaborate with business, finance, marketing, sales, and operations teams to understand requirements and solve business problems.

• Conduct ad hoc analysis, forecasting, trend analysis, and performance evaluations to support strategic decisions.

• Identify business process inefficiencies and recommend data-driven improvements.

• Automate recurring reports and improve data collection, reporting accuracy, and analytical efficiency.

• Ensure data quality, consistency, confidentiality, and compliance with company policies.

• Support business planning, budgeting, target setting, and performance monitoring through data analysis.

• Prepare presentations and reports to communicate findings, insights, and recommendations to stakeholders.

• Maintain documentation of data sources, analytical methods, reporting processes, and business definitions.

Additional Responsibilities for Senior Data Analyst

• Lead complex analytical projects and provide strategic insights to support management decisions.

• Develop advanced analytical models, forecasts, and scenario analyses.

• Establish best practices for data analysis, visualization, and reporting.

• Mentor junior analysts and review analytical outputs to ensure quality and accuracy.

• Work with relevant teams to improve data infrastructure, reporting systems, and analytical capabilities.

• Identify opportunities for business growth, cost optimization, and operational improvement through advanced data analysis.

Requirements

• Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Finance, or a related field.

• Proven experience in business analysis, data analytics, or a similar role.

• Strong proficiency in Microsoft Excel, SQL, and data visualization tools such as Power BI or Tableau.

• Experience analyzing business performance, developing dashboards, and preparing management reports.

• Strong analytical, numerical, critical-thinking, and problem-solving skills.

• Ability to interpret complex datasets and communicate findings clearly to non-technical stakeholders.

• Good understanding of business operations, KPIs, and performance measurement.

• Knowledge of Python, R, statistical analysis, or predictive modeling is an advantage.

• Strong attention to detail, accuracy, and data integrity.

• Excellent communication, presentation, and stakeholder management skills.

• Ability to manage multiple projects and meet deadlines.

• Good command of English, both written and spoken.

• Senior candidates should have substantial analytical experience, strong business acumen, and the ability to lead projects and provide strategic recommendations independently.