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.

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.