Lowes Services India Private limited | Hiring | Sr. Analyst – Credit Analytics | BigDataKB.com | 2022-09-16

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Job Location: Bangalore/Bengaluru

Years of Experience:

  • 3-6 years of prior business analytics experience, preferably 3 years in a Retail

Education Qualification & Certifications:

  • Graduate (B.Tech/BE/B.Sc.) or Master s in Analytics, Finance, or related Quantitative fields
  • Certification course in Business Analytics

Core Responsibilities:

  • Forecast Margin/Sales Impact to the business due to various credit programs/events and financing offers.
  • Provide strategic insights, measurement of Credit Financing Offers, and performance analysis of customer acquisition programs/events, leverage financial/statistical modeling skills to draw meaningful insights.
  • Build complex financial models and analytical tools, perform sensitivity and Scenario analysis, risk and Impact assessment of credit offers on total company margin$.
  • Develop a methodology for in-store and digital credit application forecasts to drive maximum portfolio growth.
  • Deliver Customer Insights & Analytics through customer lifetime value models, Service, and channel preference models, Cross / up-sell models, and recommend creative solutions to further propel credit business.
  • Design, develop & deliver insightful financial reporting, dashboards/Scorecards, and analyses for leadership teams, automate credit reporting, and optimize reporting architecture to reside within sustainable systems such as PowerBI, DART, MicroStrategy, etc.
  • Serve as a key business partner working directly with leadership and other stakeholders to influence financial performance, lead without authority across the immediate team, and the extended Finance team to foster a culture of collaboration and teamwork that will enable the achievement of the team s goals.

Primary Skills (must have):

  • Hands-on experience & In-depth understanding of data analysis, machine learning techniques, Multivariate Time Series Forecasting (ARIMAX, SARIMAX) & Linear Regression Models
  • Strong data collection, collation, and cleansing skills using tools like SQL, R/Python, and Alteryx/Knime
  • Knowledge of any one of the data visualization tools like PowerBI or MicroStrategy
  • Proficient in Excel (Power Pivots, Power Query, VBA) and PowerPoint
  • Ability to see the bigger picture by connecting dots between multiple projects driven within the team
  • Exceptional analytical skills, highly detail-oriented, strong communication and interpersonal skills

Secondary Skills (desired)

  • Demonstrated ability to work independently in a fast-paced environment and manage multiple competing priorities, experience working cross-functionally and with multiple stakeholders across locations
  • Effectively manage multiple projects and stakeholders to prioritize projects with the most impact on
  • operational goals
  • In-depth knowledge of diverse retail functions and principles

Apply Here

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