Data Analyst

This role is for one of the Weekday's clients

Salary range: Rs 800000 - Rs 1200000 (ie INR 8 - 12 LPA)

Min Experience: 2 years

Location: Bengaluru

JobType: full-time

We are seeking a detail-oriented and analytical Data Analyst with 2–5 years of experience to join our growing team. In this role, you will transform raw data into actionable insights that drive strategic decision-making across the organization. You will work closely with cross-functional teams to analyze trends, build dashboards, and optimize business performance using data-driven approaches.

Requirements:
Key Responsibilities:

• Collect, process, and analyze large datasets to identify trends, patterns, and actionable insights.
• Write efficient and complex SQL queries to extract, manipulate, and validate data from multiple sources.
• Utilize Python for data analysis, automation, and building scalable data solutions.
• Perform data cleaning and preprocessing to ensure accuracy, consistency, and reliability of datasets.
• Apply data mining techniques to uncover hidden patterns and support predictive analysis.
• Design and develop interactive dashboards and reports using Power BI and Tableau to communicate insights effectively.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Build and maintain data models to support reporting, forecasting, and business intelligence needs.
• Monitor data quality and troubleshoot discrepancies or anomalies in datasets.
• Present findings and recommendations to stakeholders in a clear and concise manner.

Required Skills & Qualifications:

• 2–5 years of professional experience in data analysis or a related field.
• Strong proficiency in SQL, including writing complex queries, joins, and performance optimization.
• Hands-on experience with Python for data analysis using libraries such as Pandas, NumPy, and Matplotlib.
• Expertise in data visualization tools like Power BI and Tableau, with the ability to design intuitive dashboards.
• Solid understanding of data analysis techniques, statistical methods, and data mining concepts.
• Experience in data modeling, including designing schemas and optimizing data structures.
• Strong skills in data cleaning, transformation, and validation processes.
• Ability to interpret complex datasets and translate them into meaningful business insights.
• Excellent problem-solving, analytical thinking, and attention to detail.
• Strong communication skills with the ability to present data insights to non-technical stakeholders.

Preferred Qualifications:

• Experience working with large-scale datasets or cloud-based data platforms.
• Familiarity with ETL processes and data warehousing concepts.
• Basic understanding of machine learning concepts is a plus.
• Experience in domain-specific analytics (e.g., finance, e-commerce, healthcare) is an advantage.