Analytics Manager

Tredence Inc.; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Tredence Inc. is seeking a senior analytics leader to drive retail, marketing, and customer analytics for high-profile clients in a dynamic, data-driven environment.

You will lead analytics delivery, mentor teams, and collaborate with stakeholders to translate business needs into scalable data products and actionable insights.

Qualifications

• 10–15 years of analytics experience with retail, marketing, and customer analytics projects.
• Proficient in ML methods including regression, classification, and clustering.
• Experience with data products and developing retail/customer/promotions data models.

Responsibilities

• Lead client projects in marketing and customer analytics for Fortune 100 retailers.
• Gather requirements across stakeholders and translate them into analytical solutions.
• Collaborate with leadership to develop innovative retail analytics solutions.
• Leverage orders, merchandising, customer, digital, marketing and promotions data to drive insights.
• Apply advanced analytics and ML techniques such as segmentation, recommendations, propensity models and forecasting.
• Contribute to Lead CXM engagements by building scalable assets and training analysts.
• Assist in opportunity identification, POV creation and client proposals.
• Apply Agile methods to manage analytics projects delivering value quickly.
• Lead and mentor a team of data analysts and data engineers.

Skills

Analytics leadership

Retail analytics

ML concepts

Marketing analytics

Team mentoring

Tools

SQL

Python

PySpark

Job description

1. 1. Work with clients leading marketing & customer roles at Fortune 100 Retailers
2. 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.
3. 3. Collaboratively work with leadership and SMEs to create innovative solutions for business challenges. Utilize your understanding of retail data and analytics to drive decision-making.
4. 4. Leverage your expertise in Data such as Orders, Merchandising, Customer Data, Click Stream (Digital), Marketing, and Promotions Data, to provide effective solutions.
5. 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.
6. 6. Be part of the Lead CXM engagements and strengthen the delivery by developing scalable & reusable assets, training analysts, and building a foundation.
7. 7. Assist in Opportunity identification / POV creation / Proposal for clients.
8. 8. Apply Agile methods to manage analytics projects efficiently, ensuring they deliver value quickly.
9. 9. Lead and mentor a team of data analysts and data engineers, fostering innovation and excellence.

Must-Have Skills:

1. 1. 10-15 years of professional experience in Analytics, showcasing demonstrated expertise in retail, marketing, and customer analytics projects
2. 2. Demonstrated capability in machine learning domains such as regression, classification, unsupervised learning
3. 3. Experience in marketing analytics, evaluating campaign effectiveness, test and learn, AB testing, market mix modeling, and multi-touch attribution
4. 5. Experience working in Data Products and experience in developing Retail Data Models, Customer Data Models, Promotions Data Models, etc.
5. 6. Advanced programming skills in SQL, Python, and PySpark, capable of leading and guiding teams.