Data Analyst

We are seeking a detail-oriented and analytical Data Analyst with strong experience in handling Primary and Secondary Data. The ideal candidate will support business teams by providing accurate, high-quality insights, reports, and dashboards. This role requires excellent data validation, reporting, and business intelligence skills to help drive informed decision-making across the organization.

Key Responsibilities:

• Collect, clean, and analyze primary and secondary data sources to generate actionable insights.
• Understand business requirements and deliver data outputs with high quality, accuracy, and efficiency.
• Develop and maintain interactive dashboards and reports using Power BI and Advanced Excel.
• Write robust SQL queries to extract, transform, and analyze data from various databases.
• Utilize Python for data processing, automation, analytics, and model building where needed.
• Ensure strong data validation processes, data quality checks, and documentation.
• Support business teams with impactful insights, trend analysis, and performance reports.
• Work on Business Intelligence (BI) initiatives and contribute to developing data-driven solutions.
• Integrate AI tools and workflows to improve automation, reporting efficiency, and analytics capabilities.
• Present analytical findings to stakeholders in a clear, concise, and business-friendly manner.
• Collaborate with cross-functional teams such as marketing, product, and operations to support strategic projects.

Required Skills & Qualifications:

• 2 4 years of professional experience as a Data Analyst.
• Strong experience working with primary data (surveys, customer data, field data, web scraping) and secondary data (market reports, research data, industry benchmarks).
• Proficiency in:
• Python (pandas, NumPy, data automation)
• SQL (queries, joins, stored procedures)
• Power BI (DAX, data modeling, dashboards)
• Advanced Excel (Pivot Tables, Power Query, formulas, macros preferred)
• Solid understanding of Business Intelligence concepts and data visualization best practices.
• Good data validation, quality control, and reporting skills.
• Experience with AI integrations or automation tools is an advantage.
• Strong analytical thinking, problem-solving ability, and attention to detail.
• Excellent communication skills for presenting insights to non-technical stakeholders.
• Ability to manage multiple tasks and deliver under tight timelines.
• Experience with statistical analysis tools or basic machine learning concepts.
• Knowledge of APIs or web scraping.