Senior Data Analyst

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 youll 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

• Bachelors degree in information systems, computer science, or a quantitative discipline such as mathematics, engineering, operations research, or economics & statistics. A Masters degree in a relevant specialization is preferred.
• 57 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.