Data Analytics- SAS/ SQL-Chennai Jobs (Hybrid work)

Embark on a dynamic career path with Data Analytics jobs specializing in SAS and SQL. Professionals in this high-demand field are the backbone of data-driven decision-making, transforming raw, complex data into actionable intelligence and strategic insights. A Data Analyst with expertise in SAS and SQL typically acts as a crucial bridge between IT and business operations, leveraging their technical prowess to solve complex problems and influence core business activities. This role is ideal for those with a keen analytical mind and a passion for uncovering the stories hidden within data. The common responsibilities for this profession are multifaceted and central to organizational success. A typical day involves designing and executing complex data extraction processes using SQL to query relational databases. Analysts then utilize advanced statistical software like SAS to clean, manipulate, and analyze this data. A core function is to perform root cause analysis, identifying the underlying reasons for business issues or anomalies. They are responsible for creating comprehensive reports, dashboards, and visualizations that clearly communicate findings to stakeholders. Furthermore, these professionals often engage in impact assessments to quantify the scale of an issue, support audit processes by providing clear data evidence, and ensure the overall quality and integrity of data used across the business. Their work requires a systematic approach to break down information into communicable components, making the complex simple. To thrive in these jobs, a specific skill set is paramount. Proficiency in SAS for statistical analysis and SQL for database management is non-negotiable. A solid understanding of RDBMS (Relational Database Management Systems) is fundamental. While not always required, experience with other tools like Python or R for machine learning, or visualization tools like Tableau, is a significant advantage. Beyond technical expertise, strong analytical thinking and impeccable attention to detail are critical for making accurate judgments and recommendations. These roles demand developed communication and diplomacy skills to exchange potentially complex information effectively with both technical and non-technical audiences. A bachelor's degree in a quantitative field like Engineering, Computer Science, Statistics, or Mathematics is a typical requirement, with many professionals also holding advanced degrees. Relevant experience, often 2-5 years, in a data-centric role is commonly expected. For those seeking challenging and impactful Data Analytics jobs, this profession offers a rewarding opportunity to have a direct and meaningful impact on business outcomes through the power of data.