Business Analyst

Role Overview:

We are looking for a detail-oriented and analytical Business Analyst with strong technical skills in SQL, Tableau, and Python . The ideal candidate will work closely with business stakeholders to translate requirements into analytical solutions, generate meaningful insights, and support data-driven decision-making across the organization.

Key Responsibilities:

• Partner with business, product, and operations teams to understand analytical requirements and translate them into effective data solutions.
• Extract, clean, and analyze large datasets using SQL to support reporting, insights, and strategic initiatives.
• Build interactive dashboards and visualizations using Tableau to communicate insights and trends to leadership.
• Use Python for data analysis, automation, and building analytical workflows or models (when required).
• Perform root cause analyses, identify business performance drivers, and develop actionable recommendations.
• Support KPI development, performance tracking, and business reviews through structured reporting.
• Collaborate with cross-functional teams to design scalable data solutions and process improvements.
• Present findings in a clear, concise manner to stakeholders and leadership teams.

Required Skills & Experience:

• 2–7 years of experience as a Business Analyst , Data Analyst, or similar analytical role.
• Proficiency in SQL for data querying and transformation.
• Hands-on experience with Tableau for dashboard development and data visualization.
• Working knowledge of Python for analytics, automation, and data manipulation.
• Strong understanding of business metrics, analytical problem solving, and storytelling with data.
• Excellent communication skills with the ability to present complex insights clearly.
• Ability to work with cross-functional teams in a fast-paced environment.

Preferred Qualifications:

• Experience working with product analytics, operations analytics, or financial/business reporting.
• Knowledge of statistical methods or basic predictive modeling.
• Exposure to cloud data platforms (AWS, GCP, Azure) or data warehousing tools (Snowflake, BigQuery, Redshift).
• Bachelor’s degree in Engineering, Business, Analytics, Economics, Statistics, or a related field.