Data Analyst

Job Role:

Providing analytical, research and consulting, data mining, support using standard and cutting-edge techniques (Data Science (AI-ML), Data analytics, Data Engineering, Web/Digital analysis, Primary/Secondary Research, Competitive Intelligence) and scaling up as a Financial Services Domain SME

Key Responsibilities:

• Extensive knowledge of and experience in applying statistics, data mining, machine learning and deep learning techniques.
• Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe
• Experience in Data and Digital analytics, having a flair for Quantitative Analysis with software tools, such as R, SAS, Python and Hive/Hadoop
• Knowledgeable and experienced in applying statistics, data modeling and analytics techniques in a professional context
• Experience with tools such as Adobe Analytics, Adobe Test and Target and& Social Media Analytics
• Expert in handling various data types and structures: structured, unstructured, voice, image, and video data, static versus streaming data. Extensive prior experience in integrating data, profiling, validating and cleansing data in Big Data platforms is a must.
• Expert in handling large amounts of Unstructured data
• Excellent visualization skills on tools such as Tableau, D3, Qlikview, Qliksense are required
• Managing end-to-end primary research, Secondary Research, Competitive Intelligence projects which includes research design, data preparation, vendor management, analysis of survey/ in-house data, gathering publicly available plus subscription sources data, insights generation, reporting/ story boarding
• Would prefer female candidates who are looking to join back into active employment after a break.

Remote Work :

No