We are seeking a detail-oriented and analytical Data Analyst with solid 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.

📌 Data Analyst (India)
🏢 Galactix Solutions
📍 India