Data Analyst

Position: Data Analyst (0–2 Years Experience) Working Days: 6 Days Location: Gurugram Job Summary We are looking for a motivated and analytical Junior Data Analyst to join our team. The ideal candidate should have strong proficiency in SQL, good working knowledge of Python (particularly Pandas and NumPy), and a basic understanding of data visualization, statistics, and data analysis concepts. The candidate will work with business and technical stakeholders to analyze data, build reports and dashboards, and generate actionable insights to support business decision-making. Key Responsibilities Work with business and technical stakeholders to understand data requirements and translate business questions into actionable analysis. Collect, clean, transform, and analyze data from multiple sources to identify trends, patterns, and business insights. Create and maintain dashboards, reports, and visualizations to track key business and operational metrics. Perform exploratory data analysis and investigate data anomalies, inconsistencies, and trends. Develop and maintain SQL queries for extracting and analyzing data from databases and data warehouses. Support senior analysts and business teams in defining KPIs, preparing analysis, and presenting data-driven insights. Automate recurring reports and analytical processes wherever possible to improve efficiency and accuracy. Collaborate with data engineering and software engineering teams to understand data pipelines, data sources, and data quality issues. Document analysis, methodologies, data definitions, and key findings to ensure consistency and knowledge sharing. Continually explore new data sources, analytical tools, and techniques to improve reporting and decision-making capabilities. Required Skills 0–2 years of hands-on experience in data analytics, business intelligence, or a related analytical role. Freshers with strong analytical and technical skills may also be considered. Strong proficiency in SQL and a good understanding of relational databases. Good working knowledge of Python, particularly Pandas and NumPy, for data analysis. Familiarity with data visualization and dashboarding tools such as Power BI, Tableau, or similar platforms. Basic understanding of statistics, data analysis concepts, and common analytical techniques. Strong analytical and problem-solving skills, with the ability to break down business problems into structured analytical approaches. Good understanding of data cleaning, data validation, and data quality concepts. Strong attention to detail and ability to work with large and complex datasets. Good communication skills, with the ability to explain analytical findings and insights to both technical and non-technical stakeholders. Self-motivated, curious, and willing to learn new technologies, tools, and analytical techniques. Preferred Skills Experience with automating recurring reports and analytical processes. Exposure to data warehouses, data…