Advanced Marketing

4 days ago

Bengaluru, Karnataka, India Tredence Inc. Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role description

Tredence is a global analytics services and solutions company. Our capabilities range from Data Visualization and Data Management to Advanced analytics, Big Data, and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost-effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with some strong IP and pre-built analytics solutions in data mining, BI, and Big Data.

Role Overview

As an Marketing & CRM Analytics, you will lead analytical projects that drive customer and marketing strategies for Fortune 100 clients. This role combines strong hands-on analytical expertise with team leadership. You will design and deliver advanced marketing and CRM analytics solutions, build predictive models, and mentor junior consultants, while engaging closely with senior client stakeholders.

Key Responsibilities

Lead end-to-end marketing analytics projects, ensuring delivery of high-quality, actionable insights.

Partner with business leaders and CRM managers to identify business challenges, translate them into analytical problems, and deliver impactful solutions.

Apply advanced statistical and machine learning techniques (e.g., propensity modeling, churn prediction, segmentation, forecasting, attribution, clustering) to solve marketing and customer lifecycle problems.

Perform hands-on data analysis, data wrangling, and feature engineering using SQL, Python, and PySpark.

Guide teams in building scalable pipelines and deploying analytical solutions on cloud platforms (Databricks, GCP, Snowflake, Azure).

Deliver insights and recommendations through clear storytelling, supported by dashboards, visualizations, and presentations.

Mentor and manage a team of analysts/consultants, providing technical guidance, developing talent, and fostering a culture of excellence.

Manage stakeholder communication, project timelines, and ensure client satisfaction.

Must-Have Skills

6–9 years of professional experience in analytics,

Demonstrated expertise in building and deploying analytical models (propensity, churn, classification, segmentation, forecasting).

Advanced proficiency in SQL and Python; working knowledge of PySpark.

Hands-on experience with cloud platforms (Databricks, GCP, Snowflake, Azure).

Strong problem-solving skills with the ability to translate business challenges into analytical solutions.

Experience in leading teams and mentoring junior members.

Excellent communication skills with the ability to present technical insights to senior stakeholders.

Experience with visualization tools (Tableau, Power BI) for insight delivery.

Good-to-Have Skills

Prior exposure to Retail domain analytics.

Strong project management and client engagement skills.

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