AM Digital Marketing & Analytics (Pune)

AM Digital Marketing & Analytics (Pune)

17 Oct
|
Kohler India
|
Pune

17 Oct

Kohler India

Pune

About Us

At Kohler, our mission is to help people live gracious, healthy, and sustainable lives. We believe that empowering our associates is essential to making this vision a reality. That’s why we invest in personal and professional growth, encourage collaboration across teams and functions, and offer a comprehensive wellness package that supports the well-being of every team member.

Kohler is an equal chance employer. Along with competitive compensation and benefits, we offer something more enduring—a legacy built on bold innovation, creative excellence, and a deep commitment to our people and communities. Learn more about our culture and career opportunities at www.kohler.co.in/careers.

Our approach to hiring reflects our commitment to Global Inclusion. We recruit, hire, and promote qualified individuals in all roles without regard to race, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, or disability. If you are an individual with a disability and require reasonable accommodation during the recruitment process, please let your recruiter know so we can support you appropriately.

Job Description:

Retail Media Data & Insights Analyst

Role Overview

A Retail Media Data & Insights Analyst who will play a critical role in analyzing performance data from key retail and eCommerce partners — including Amazon, Amazon, Lowe’s, Home Depot, Costco, Criteo and other key retail partners — to uncover actionable insights, trends, and optimization opportunities.

This role is analysis & insight-first, not dashboard-first. You will dig deep into campaign reports, identify performance drivers, and deliver strategic recommendations to business stakeholders.

The ideal candidate has a strong analytical foundation, understands Amazon Retail Media dynamics, and can translate data into clear business stories that drive better decision-making across media investments, product categories, and profitability.

Key Responsibilities

1.



Campaign & Performance Analysis

- Analyze campaign data across Amazon Ads, Retail Media+, and Criteo.
- Identify performance trends, category insights, and SKU-level opportunities to optimize ROAS, CTR, CVR, and spend efficiency.
- Conduct deep dives (“double/triple-clicks”) into platform reports to explain what’s happening across retailers.
- Compare performance by platform, campaign type, and category to highlight areas for growth or efficiency.

2. Cross-Retailer Reporting & Consolidation

- Aggregate and normalize performance data from multiple retailer sources into a unified format.
- Track weekly, monthly, and quarterly trends — including sales, traffic, and ad spend across all partners.
- Build and maintain Excel-based performance trackers until automation (Power BI) is implemented.
- Support finance and media teams in validating data accuracy and consistency across reports.

3. Insights Generation & Storytelling

- Develop weekly and monthly insights decks with clear summaries: “What happened, why it happened, and what to do next.”
- Highlight drivers behind spend efficiency, conversion drops, or sales spikes by SKU or retailer.
- Present actionable recommendations to stakeholders (Media, Marketing, Finance).
- Identify halo effects and cross-channel impacts (e.g., Retail Media spend influencing organic sales).

4. Profitability & Incrementality Support

- Support profitability and incrementality modeling by providing clean, validated input data.
- Partner with Finance to ensure SKU-level and category-level financial accuracy.




- Assist in interpreting results from incrementality and profitability tests (Meta, Google, Amazon DSP).

5. Continuous Improvement

- Develop consistent data QA and trend validation processes.
- Collaborate with internal analytics and automation teams to transition manual reports into Power BI dashboards later.
- Maintain clear documentation of all data sources, file structures, and metric definitions.

Required Skills & Experience

Technical Skills

- Advanced Excel (Pivot tables, Power Query, Macros, VLOOKUP/XLOOKUP, data modeling)
- SQL (intermediate) or Python (Pandas, NumPy) – for ad-hoc data manipulation and cleaning
- Experience working with Amazon Ads Console, Amazon Vendor Central, or Amazon Retail Analytics (ARA/NAR)
- Understanding of key retail media metrics — ROAS, CTR, CVR, AOV, DPVR, iROAS, SOV, margin
- Experience consolidating reports across multiple retailers and ad platforms

Analytical & Business Skills

- Proven ability to identify trends, detect anomalies, and explain data stories clearly
- Strong command over profitability, margin, and contribution analysis
- Excellent communication and data storytelling skills — both written and verbal
- Detail-oriented, with a problem-solving mindset and strong data integrity focus

Preferred Skills

- Advanced Excel, VBA Macros, vlookup, pivots,
- Understanding of incrementality testing concepts (A/B, holdout, synthetic control)
- Hands on experience with SQL Intermediate
- Familiarity with profitability modeling and ROI forecasting

Key KPIs / Success Metrics

- Quality and timeliness of weekly/monthly insight reports
- Accuracy and consistency of retailer performance data
- Actionability of insights (alignment with optimization decisions)
- Collaboration effectiveness with Media and Finance teams
- Smooth transition of manual reports into future automated dashboards

Mandatory Skills:

Data Analytics,Retail Media Marketing,Amazon Ads,Campaign Management

Location:

Pune, Maharashtra, India

📌 AM Digital Marketing & Analytics (Pune)
🏢 Kohler India
📍 Pune

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