Senior Data Analyst

Location: Bengaluru

What your main responsibilities are
Design and implement processes and solutions associated with a wide variety of datasets used for data/text mining and analysis to support informed business decisions.
Gain insight into key business drivers and deliverables by examining structured and unstructured data from multiple, disparate sources.
Effectively use current and emerging technologies to evaluate trends and develop actionable insights and recommendations for management by leveraging available data.
Learn to use data, statistical techniques, and quantitative analysis to drive decision-making.
What you’ll be working on
Import, clean, transform, and validate data from RDBMS sources (Oracle, Teradata) with the purpose of understanding or drawing conclusions to support decision-making.
Transform large volumes of data into information and information into insights.
Answer business questions using appropriate statistical techniques on available data to improve key success metrics related to yield management and revenue generation.
Produce various reports, graphs, summaries, and presentations that convey analytical results and align with business needs.
Provide consultation, recommend improvements, and implement process enhancements for timeliness, relevance, and presentation quality.
Present insights to senior executives using strong storytelling capabilities. Frame business scenarios in meaningful ways and depict findings in easy-to-understand terms.
What we are looking for
Bachelor’s degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, or economics & statistics. A Master’s degree in a relevant specialization is preferred.
5–7 years of experience in analytics, informatics, or statistics.
Experience in product marketing analytics or impact analysis is a plus.
Must have:  SQL and Python experience, with exposure to visualization tools such as Power BI or Tableau.
Good to have:  Cloud computing, big data technologies, Azure, NLP, ML.