Customer & Marketing Analytics

8 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Role- Manager–Customer & Marketing Analytics

Location- Bangalore


As a Manager, you will:


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

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. 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. Leverage your expertise in Data such asOrders, Merchandising, Customer Data, Click

Stream (Digital), Marketing, and Promotions Data, to provide effective

solutions.

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. Be part of the Lead CXM engagements and strengthen the delivery by developing

scalable & reusable assets, training analysts, and buildinga foundation.

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

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

value quickly.

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

excellence.


Must-Have Skills:


1. 8-14 years of professional experience in Analytics, showcasing

demonstrated expertise in retail, marketing, and customer analytics projects

2. Demonstrated capability in machine learning domains such as

regression, classification, unsupervised learning.

3. Experience in marketing analytics, evaluating campaign effectiveness,

test and learn, AB testing, market mix modeling, and multi-touch attribution

4. Experience in Building customer segments, Propensity Models, CLTV

Models, Recommender system etc.

5. Experience working in Data Products and experience in developing

Retail Data Models, Customer Data Models, Promotions Data Models, etc.

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

leading and guiding teams.

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

Snowflake, etc.

8. Knowledge of data visualization tools like Tableau and PowerBI to

craft insightful visual reports and dashboards.

9. Exceptional problem-solving, organizational, and project management

capabilities to navigate complex projects effectively.5+ years of team management

10. Leadership experience with a proven track record of mentoring and

developing high-performing teams.

11. Effective communication skills, adept at presenting complex insights

to stakeholders in a clear and impactful manner

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