Data Analytics (SQL, Altreyx & Tableau) - Associate

5 - 9 years

0 Lacs

Posted:4 days ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a member of our Data Analytics team, you will play a crucial role in understanding customers" financial needs and interactions with our products, services, and channels. Your responsibilities will involve various hands-on tasks that require creative thinking, ambition, and a curious attitude towards data. You will be expected to extract valuable insights from data to drive business decisions and strategies effectively. Your typical day will include activities such as identifying patterns of behaviors and events to anticipate customer actions, collaborating with key stakeholders to enhance operational processes, building business cases and test designs for pilot programs, analyzing customer interactions across different channels, developing performance metrics, and creating self-serve tools for real-time decision-making. To excel in this role, you should hold a Bachelor's or Master's Degree in a quantitative field such as Mathematics, Statistics, Economics, or Computer Science, along with at least 5 years of experience in data science. Your ability to adapt, communicate effectively, and work with large datasets using SQL scripts and data analytics tools like SQL, Python, SAS, Tableau, or Alteryx will be crucial for success. Moreover, having a track record of solving business problems through analytical methods, leveraging insights to influence decision-making, and presenting recommendations to senior management will be highly beneficial. Experience in the financial services industry or consulting firms, familiarity with big data disciplines, AWS, Agile methodologies, and new technologies will be considered as preferred qualifications. In this role, you will have the opportunity to make a significant impact on the business by leveraging data-driven insights to drive customer-centric strategies and operational efficiency. If you are a proactive, analytical thinker with a passion for data analytics and a desire to contribute to the success of a banking office, we encourage you to apply for this position and be a part of our dynamic team.,

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