SENIOR DATA ANALYST

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