Job Description

Job Description:-

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Manager / Senior Manager – Customer & Marketing Analytics

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Location: India

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As a Manager/Senior Manager, you will:

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1. Work with clients leading marketing & customer roles at Fortune 100 Retailers

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2. Work closely with stakeholders across the organization to gather requirements and understand the underlying business problems. Serve as the bridge between business needs and analytical solutions.

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3. Collaboratively work with leadership and SMEs to create creative solutions for business challenges. Utilize your understanding of retail data and analytics to drive decision-making.

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4. Leverage your expertise in Data such as Orders, Merchandising, Customer Data, Click Stream (Digital), Marketing, and Promotions Data, to provide effective solutions.

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5. Utilize advanced analytics and machine learning techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle.

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6. Be part of the Lead CXM engagements and strengthen the delivery by developing scalable & reusable assets, training analysts, and building a foundation.

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7. Assist in Opportunity identification / POV creation / Proposal for clients.

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8. Apply Agile methods to manage analytics projects efficiently, ensuring they deliver value quickly.

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9. Lead and mentor a team of data analysts and data engineers, fostering innovation and excellence.

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Must-Have Skills:

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1. 9-15 years of professional experience in Analytics, showcasing demonstrated expertise in retail, marketing, and customer analytics projects

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2. Demonstrated capability in machine learning domains such as regression, classification, unsupervised learning

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3. Experience in marketing analytics, evaluating campaign effectiveness, test and learn, AB testing, market mix modeling, and multi-touch attribution

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4. Experience in Building customer segments, Propensity Models, CLTV Models, Recommender system etc.

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5. Experience working in Data Products and experience in developing Retail Data Models, Customer Data Models, Promotions Data Models, etc.

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6. Advanced programming skills in SQL, Python, and PySpark, capable of leading and guiding teams.

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7. Experience working with platforms such as GCP, Azure, AWS, Databricks, Snowflake, etc.

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8. Knowledge of data visualization tools like Tableau and PowerBI to craft insightful visual reports and dashboards.

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9. Exceptional problem-solving, organizational, and project management capabilities to navigate complex projects effectively. 5+ years of team management

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10. Leadership experience with a proven track record of mentoring and developing high-performing teams.

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11. Effective communication skills, adept at presenting complex insights to stakeholders in a clear and impactful manner.

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