Job
Description
Data Analyst Banking and Financial Domain is Mandatory Experience:5 to 8 Years Preferred location Chennai, Pune, Budget:30LPA fix Notice :Immediate or who are serving and can join by 30thof March. We are seeking a talented Data Analyst to help us make data-driven decisions by gathering, processing, and analyzing key data sets. The ideal candidate will have a strong analytical mindset, the ability to interpret large amounts of data, and an expert in banking risks across financial, operational, and other strategic areas. Key Responsibilities : Data Collection & Analysis :Gather, clean, and analyze large datasets from a variety of sources. Use statistical methods to identify trends, patterns, and insights that can influence business decisions. Reporting & Dashboards :Develop and maintain clear and comprehensive reports and dashboards using tools like Tableau, Power BI, or Excel to present actionable insights. Ensure timely and accurate reporting for key business stakeholders. Agile SDLC Engagement :Work closely with business units, finance, legal, tech and compliance teams to understand business needs, build out requirement docs, translate them into user stories, prioritize the product backlog, perform testing and actively contribute as part of the Agile Pod Team. Business Insights :Collaborate with business teams to understand key performance metrics and business goals. Provide actionable insights and recommendations based on data analysis to optimize risk processes or operational efficiency. Data Quality & Integrity :Monitor data integrity, consistency, and accuracy. Implement data validation procedures to ensure high-quality data is used for decision-making. Ad-Hoc Analysis :Conduct ad-hoc analysis and support business units with specific analytical needs, using your expertise to solve unique problems and answer pressing business questions. Skills : Proven experience (5+ years) in a data analyst or similar role, with a strong understanding of data analysis and statistical techniques. Proficiency in data analysis tools and software (e.g., Excel, SQL, R, Python). Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Strong understanding of data manipulation, cleaning, and data transformation techniques. Excellent problem-solving skills with the ability to turn data insights into clear and actionable recommendations. Strong communication skills, with the ability to explain complex data findings to both technical and non-technical stakeholders. Attention to detail and an ability to work efficiently in a fast-paced environment. Preferred Skills : Familiarity with machine learning algorithms or predictive analytics is a plus. Experience with data warehousing or cloud-based analytics tools (e.g., AWS, Google Cloud, Azure). Knowledge of database management systems (e.g., MySQL, PostgreSQL, MS SQL Server).
