3+ Looker Jobs in Delhi, NCR and Gurgaon | Looker Job openings in Delhi, NCR and Gurgaon

Required Skills: Proficiency in CRM tools, Excellent Communication & Stakeholder Management, Cross functional collaboration, Amplitude, Mixpanel, GA4, Retention Strategy

Criteria:

• Candidate should have Experience: 6–8 years in Product Marketing, Lifecycle Marketing for digital-first or app-based businesses.
• Preferred industry exposure: Gaming, OTT, consumer tech, or subscription-led platforms or E-commerce environments.
• Understanding of lifecycle communication, retention strategies, and user segmentation.
• Strong understanding of user behavior, adoption funnels, and product-led growth.
• Hands-on experience in CRM and in-app communication campaigns.
• Proficient in analyzing funnel metrics, adoption KPIs, and deriving actionable insights.
• Strong stakeholder management and ability to collaborate with Product, Design, Data & Lifecycle teams.
• Experience with CRM tools such as CleverTap, MoEngage, Braze, or WebEngage.
• Familiarity with analytics platforms (Amplitude, Mixpanel, GA4) and basic understanding of A/B testing / experimentation frameworks.

Description

Key Responsibilities

1. Drive Feature & Product Adoption

• Plan and execute go-to-market (GTM) and in-app communication strategies to increase awareness and usage of new or underutilized product features.

2. Convert User Insights into Messaging

• Analyze user behavior and pain points to craft clear, value-led positioning and messaging for features and product experiences.

3. Plan & Execute Cross-Channel Campaigns

• Run CRM, in-app, and creative communication campaigns to educate users, highlight feature benefits, and improve engagement.

4. Measure & Optimize Performance

• Track feature usage, conversion, and retention metrics to identify gaps and refine messaging, funnels, or user journeys.

5. Collaborate with Cross-Functional Teams

• Work closely with Product, Data, Design, and Lifecycle Marketing teams to ensure consistent communication and seamless product experience delivery.

Key Expected Outcomes

• Demonstrable growth in feature and overall product adoption across the platform.
• Smooth and timely GTM execution for new feature launches.
• Clear, consistent product communication across all channels and user segments.
• Data-backed continuous improvement informed by user feedback and performance insights.
• Strong collaboration and alignment between Product, Lifecycle, and Design teams, ensuring efficient rollouts and improved user experience.

Must-Have Requirements

• 6-8 years of experience in Product Marketing, Lifecycle Marketing, or similar roles in digital-first/app-led businesses (OTT, consumer tech, or subscription-based models preferred).
• Strong understanding of user behavior, adoption funnels, and product usage patterns.
• Hands-on experience executing CRM and in-app communication campaigns.
• Analytical mindset with the ability to interpret funnel metrics and convert insights into action.
• Excellent communication and stakeholder management skills.
• Strong written and verbal communication, with clarity in user-facing messaging.
• Ownership mindset with end-to-end accountability for campaign planning and execution.
• Understanding of digital platforms and OTT ecosystems.

Should-Have Requirements

• Experience working in OTT, entertainment, or consumer-tech environments with knowledge of content-driven user behaviors.
• Working knowledge of CRM tools such as Clevertap, MoEngage, Braze, or WebEngage.
• Familiarity with analytics tools (Amplitude, Mixpanel, GA4).
• Exposure to A/B testing and experimentation frameworks.
• Comfort with data visualization platforms such as Appsflyer, Metabase, Looker, or Power BI.
• Understanding of lifecycle communication and retention-focused strategies.
• Ability to review or create campaign creatives with strong narrative alignment.
• Curiosity and storytelling capability to translate product features into user benefits.

Good-to-Have Requirements

• Prior experience in driving feature adoption or contributing to product-led growth initiatives.
• Experience working in high-growth, data-driven startup environments.
• Familiarity with marketing automation and experimentation tools.
• A creative eye for content, communication, and user experience design.

Success Metrics

• Feature Adoption Rate: % of users engaging with new features (7-day/30-day adoption).
• Feature Retention Rate: Repeat usage of adopted features.
• Campaign Engagement Metrics: CTR, CVR, and engagement uplift from CRM/in-app campaigns.
• Time-to-Launch Efficiency: Speed and accuracy of GTM execution.
• User Awareness: Improvement in survey scores or reduction in support queries.
• Cross-Functional Alignment: Execution efficiency with Product, Data, and Design teams.
• Impact on Retention & Watch Hours: Contribution of product marketing efforts toward user engagement KPIs.

Job Title : Sr. Data Scientist

Experience : 5+ Years

Location : Noida (Hybrid – 3 Days in Office)

Shift Timing : 2 PM to 11 PM

Availability : Immediate

Job Description :

We are seeking a Senior Data Scientist to develop and implement machine learning models, predictive analytics, and data-driven solutions.

The role involves data analysis, dashboard development (Looker Studio), NLP, Generative AI (LLMs, Prompt Engineering), and statistical modeling.

Strong expertise in Python (Pandas, NumPy), Cloud Data Science (AWS SageMaker, Azure OpenAI), Agile (Jira, Confluence), and stakeholder collaboration is essential.

Mandatory skills : Machine Learning, Cloud Data Science (AWS SageMaker, Azure OpenAI), Python (Pandas, NumPy), Data Visualization (Looker Studio), NLP & Generative AI (LLMs, Prompt Engineering), Statistical Modeling, Agile (Jira, Confluence), and strong stakeholder communication.

Job Title : Sr. Data Engineer

Experience : 5+ Years

Location : Noida (Hybrid – 3 Days in Office)

Shift Timing : 2-11 PM

Availability : Immediate

Job Description :

• We are seeking a Senior Data Engineer to design, develop, and optimize data solutions.
• The role involves building ETL pipelines, integrating data into BI tools, and ensuring data quality while working with SQL, Python (Pandas, NumPy), and cloud platforms (AWS/GCP).
• You will also develop dashboards using Looker Studio and work with AWS services like S3, Lambda, Glue ETL, Athena, RDS, and Redshift.
• Strong debugging, collaboration, and communication skills are essential.