Senior Business Analyst

We’re looking for a highly analytical and detail-oriented Data Analyst/Business Analyst who can turn data into insights that drive business decisions. In this role, you'll work with complex data sets to identify trends, optimize processes, and support strategic decision-making across the organization. Familiarity with AI-driven tools and data modeling will be a key advantage.

Key Responsibilities:

• Identify, analyze, and interpret trends and patterns in complex data sets.
• Use data to drive business insights and generate regular, insightful reports.
• Develop and implement databases, data pipelines, and analytics systems to improve efficiency and data quality.
• Extract data from primary and secondary sources, and maintain databases/data systems.
• Clean, filter, and validate data to ensure consistency and accuracy.
• Collaborate with cross-functional teams and management to define data needs and prioritize information requirements.
• Support process optimization initiatives using data-driven strategies.
• Apply AI (basic to intermediate) to automate data processing and enhance analysis

Requirements:

• 2-5 years of proven experience as a Data Analyst or in Business Data Analysis
• Strong command over Excel, Power BI, Tableau, and other data visualization tools
• Proficiency in SQL, data querying, and working with large relational databases
• Exposure to AI/ML tools or platforms (e.g., Python for data science, AutoML, ChatGPT API integration, or similar) will be an addition.
• Strong analytical and problem-solving skills with high attention to detail and data accuracy.
• Excellent communication and presentation skills with the ability to explain complex insights to non-technical stakeholders.
• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field.
• Ability to work flexibly, multitask, and exercise sound judgment in a fast-paced environment.

What You’ll Gain:

• Opportunity to work on high-impact projects in a data-driven organization.
• Exposure to real-world applications of AI in analytics and business intelligence
• Collaborative, growth-oriented work culture.
• Competitive compensation and benefits.