Data Analyst

2 - 6 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Data Analyst at our company, you will be part of a leading player in the Business Intelligence & Data Analytics sector. We specialize in delivering end-to-end analytics solutions that empower enterprises across finance, retail, and healthcare. Our teams focus on transforming complex data into clear, actionable insights using modern BI tools, advanced statistical methods, and scalable ETL pipelines to drive strategic, data-driven decision-making. Your role will involve designing, developing, and maintaining interactive dashboards and reports using Power BI and Tableau to monitor key business metrics. You will also be responsible for extracting, transforming, and loading data from multiple sources to ensure accuracy, consistency, and reliability. Performing in-depth data analysis to identify trends, anomalies, and opportunities for process improvements will be a key part of your responsibilities. Collaboration with business stakeholders to gather requirements, translating them into technical specifications, and delivering customized analytics solutions will be crucial. Automating recurring reporting tasks, building self-service BI tools, and supporting data governance by defining data quality standards will also be part of your day-to-day activities. To excel in this role, you must have a Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. A minimum of 2 years of hands-on experience as a Data Analyst or in a similar role is required. Proficiency in SQL for data querying, profiling, and performance optimization is a must. Experience with Power BI or Tableau for data visualization and dashboard creation, as well as strong analytical skills with proficiency in Python or R for data manipulation and statistical analysis, are essential. Preferred qualifications include familiarity with cloud data platforms such as AWS Redshift, Google BigQuery, or Azure Synapse, experience with ETL tools like Informatica, Talend, or Apache Nifi, and knowledge of data warehousing concepts and big data frameworks like Spark and Hadoop. In addition to the exciting and challenging work environment, we offer competitive compensation, health insurance, wellness programs, and opportunities for professional growth through training, certifications, and cross-functional projects. Join our collaborative, innovation-driven team and make a difference in the world of data analytics.,

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