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• 5+ years of analytics hands-on experience across Regression(Linear/Logit/Gamma), Cluster analysis (K-Means/Modes/Hier), Simulations, Time Series forecasting, Hypothesis testing, Optimization techniques etc.
• Experience on Microsoft BI stack, including strong PowerBI skills and exposure to machine learning and data mining, large scale computing systems including experience in SQL, R/ Python/ SAS/ AzureML or similar languages.
• Design and BI architecture skills, partnering with engineering & information architecture teams on design & architecture will be good to have
• Excellent communications and interpersonal skills. Ability to convince other strong personalities of their ideas and work with a large number of partners in solving a problem.
• Proven track record of delivering high impact in complex business settings
• Masters or PhD in Statistics/Econometrics/Computer Science or related discipline is preferable
PERSONAL ATTRIBUTES/INTERPERSONAL SKILLS:
o Excellent written and oral communication skills, particularly the ability to synthesize complex issues/scenarios into easy-to-understand concepts.
o Attention to detail with self-discipline and a drive for results.
o Demonstrated ability to work in ambiguous situations and across organizational boundaries.
Translate business problems into analytical requirements. Build and develop analytical solutions including ML models, Operations Dashboards using PowerBI, segmentation, Customer and operational KPI deep dives, etc working alongside a strong team of Business Partners, Analysts, Architects to deliver priority outcomes in alignment with the strategic roadmap for the organization. Key Responsibilities include :
• Develop analytical solutions to predict customers’ next issues to solve them proactively
• Develop Power BI dashboards to generate actionable insights
• Develop drivers analysis on key operational KPIs using ML algorithms to identify levers for remediation
• Building simulations to test and optimize processes
• Collaborate with cross functional teams and partners on business problems and strategic priorities of the team
• Act as an evangelist and catalyst for Analytics & BI innovation
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