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