Position: Senior Data Analyst
Job Type: (Remote)
Job Summary
The Senior Data Analyst is responsible for analyzing complex business data, developing actionable insights, and supporting data-driven decision-making across the organization. This position works closely with business leaders and cross-functional teams to develop reports, dashboards, data models, and analytical solutions that improve business performance and operational efficiency.
Key Responsibilities
• Analyze large and complex datasets to identify trends, patterns, opportunities, and business risks.
• Develop and maintain interactive dashboards, reports, and performance metrics using BI tools such as Power BI, Tableau, or similar platforms.
• Write and optimize SQL queries to extract, transform, and analyze data from multiple sources.
• Translate business requirements into analytical solutions, KPIs, dashboards, and reporting tools.
• Partner with Finance, Operations, Sales, Marketing, IT, and other departments to understand business needs and provide data-driven recommendations.
• Develop and maintain data models and reporting datasets to support business intelligence initiatives.
• Perform data validation, quality checks, and reconciliation to ensure accuracy and consistency.
• Identify opportunities to automate recurring reports and improve reporting processes.
• Conduct trend analysis, forecasting, variance analysis, and root-cause analysis.
• Prepare executive-level reports and presentations that clearly communicate key findings and recommendations.
• Monitor business KPIs and provide insights into performance against goals and targets.
• Assist with data governance, documentation, definitions, and reporting standards.
• Collaborate with data engineers and IT teams to improve data availability and reliability.
• Mentor junior analysts and provide guidance on analytical methods, reporting standards, and best practices.
• Support strategic projects and ad-hoc analysis as requested by management.
• Maintain confidentiality and security of business and customer data.
Qualifications
• Bachelor's degree in Business Analytics, Data Analytics, Statistics, Computer Science, Finance, Economics, or a related field.
• 4–7 years of experience in data analytics, business intelligence, or a related analytical role.
• Strong SQL skills and experience working with relational databases.
• Advanced proficiency in Microsoft Excel.
• Experience with BI and visualization tools such as Power BI, Tableau, or Qlik.
• Experience developing dashboards, KPIs, and management reports.
• Strong understanding of data analysis, data modeling, and business intelligence concepts.
• Experience working with large datasets and multiple data sources.
• Strong analytical, problem-solving, and critical-thinking skills.
• Excellent written and verbal communication skills.
• Ability to translate complex data into clear and actionable business insights.
Preferred Qualifications
• Experience with Python, R, or other analytical programming languages.
• Experience with cloud data platforms such as Snowflake, Azure, AWS, or Google Cloud.
• Knowledge of ETL/ELT processes and data warehouse concepts.
• Experience with financial, operational, sales, or customer analytics.
• Familiarity with data governance and data quality practices.
• Experience mentoring junior analysts or leading analytics projects.
Key Skills
• Business Intelligence & Analytics
• SQL
• Power BI / Tableau
• Data Visualization
• Dashboard Development
• Data Modeling
• KPI Development
• Statistical Analysis
• Forecasting & Trend Analysis
• Data Quality & Validation
• Advanced Excel
• Business Requirements Analysis
• Executive Reporting
• Problem Solving
• Cross-Functional Collaboration
• Analytical Thinking