Job Location: Bangalore/Bengaluru

Roles and Responsibilities

• Degree in a quantitative discipline (statistics, operations research, computer science, information engineering, engineering, applied mathematics, economics, business analytics, etc)
• 2+ years of experience working with data in a business setting, including data management, process execution, operations, reporting, or analytics.
• 4+ years of experience in Tableau and SQL
• experience in Python(not mandatory)
• Experience with distributed data systems such as Hadoop and related technologies (Spark, Presto, Pig, Hive, etc.)
• Exceptional analytical and technical skills, with clear attention to detail
• Ability to leverage numbers and insights to influence & drive sound decision making

• Lead data-driven recommendations and insights to support strategic projects across Central Operations
• Lead cross-functional teams in specific initiatives; recognizes dependencies between teams; drive and clarify ownership of those dependencies
• Understand the business, track operational performance, provide insights and recommendations
• Support company-wide programs through ownership of analytical projects
• Establish strong working relationships with peers in other Global Operations teams and cross-functional partners (sales leadership, finance, sales operations, systems) to achieve objectives
• Build dashboards and automated reports, working proficiently with data visualization and querying/analysis tools (e.g., Tableau, SQL, Python)
• Own data tables, and work with stakeholders to ensure available data is accurate, consistent, and timely
• Own technical implementations and documentation associated with datasets and strive for 100% accuracy
• Comfortably identify and frame specific business problems; creates hypotheses, builds key analyses, and develops recommendations; gains alignment with stakeholders for implementation.
• Independently manage expectations from stakeholders; manages deadlines/timeframes for larger initiatives and projects with minimal guidance on prioritization or dependencies
• Possibility to learn & implement advanced analytics tools for optimization (e.g., Cloud hosting, Job automation, Artificial Intelligence techniques, Natural Language generation)

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