5+ Metrics management Jobs in India

Required Skills: B2B SaaS Marketing Expertise, Leadership & Cross-Functional Collaboration, Performance Marketing & Automation Skills, Branding, Content & Communication Skills, Analytical & Data-Driven Decision Making

Criteria:

1. Must have 5–10 years of B2B SaaS marketing experience (non-negotiable).

2. Must have hands-on ownership of strategy + execution (leadership role, not managerial).

3. Must have strong digital marketing expertise (Google Ads, Meta Ads, SEO/SEM, email, social).

4. Must have proven lead generation experience for global and regional B2B SaaS markets.

5. Must be able to manage marketing budgets, ROI, and performance reporting independently.

6. Must have strong performance marketing and analytics skills.

7. Must have excellent English communication and presentation skills.

8. Must understand core SaaS metrics (MRR, ARR, CAC, LTV, etc.).

Description: 

Profile Overview

• The Marketing Head will develop, lead, and execute innovative marketing strategies that accelerate brand visibility, drive qualified global and regional leads, and directly contribute to revenue and market share growth.
• Reporting, event presentations, marketing roadmap planning, P&L, and ROI reporting are to be managed independently.
• This role demands strong leadership, cross-functional collaboration, advanced digital expertise, and complete ownership of performance outcomes.
• Note: This is not a managerial role — it is a leadership position requiring strategic ownership and hands-on execution.
• B2B SaaS experience is mandatory.

Roles & Responsibilities:

• Develop and execute integrated marketing strategies to enhance brand visibility and generate qualified leads across domestic and international B2B SaaS markets.
• Lead and mentor a multi-functional marketing team, fostering a performance-driven, creative, and data-oriented culture.
• Oversee all digital marketing initiatives — including Google Ads, Meta Ads, SEO/AISEO/SEM, email campaigns, and social media marketing — ensuring measurable ROI.
• Direct branding and messaging across multiple regions, ensuring local adaptability and consistency with global standards.
• Collaborate closely with Sales, Product, and Customer Success teams to design campaigns that align with business objectives and drive revenue growth.
• Plan and manage marketing budgets effectively, ensuring optimal allocation and tracking of performance metrics.
• Lead content creation efforts — including blogs, case studies, newsletters, and product collaterals — in coordination with internal and external stakeholders.
• Research and identify new market opportunities, trends, and competitors to support data-driven decision-making.
• Plan and execute product launches, webinars, events, and partnerships that strengthen YCS’s position as a global B2B hospitality SaaS leader.
• Work with the global marketing team of company to align regional campaigns with the global brand strategy.
• Prepare detailed performance reports and present actionable insights to the management team monthly, quarterly, and annually.

Key Competencies:

• Marketing Expertise: Proven track record with 5–10 years of experience in digital and strategic marketing within a B2B SaaS environment (mandatory), ideally in hospitality tech.
• Leadership & Collaboration: Experience leading a small marketing team and working cross-functionally with sales and product teams.
• Performance Marketing: Proficiency in tools like Google Ads, Meta Ads, HubSpot, Zoho, or similar platforms to drive and optimize campaigns.
• Content & Branding Skills: Strong storytelling, creative thinking, and understanding of brand positioning across multiple markets.
• Analytical Skills: Ability to interpret campaign data, measure ROI, and adjust strategies for maximum impact.
• Communication: Excellent written and verbal communication in English; additional language fluency is a plus.
• Time Management: Capable of managing multiple projects simultaneously in a fast-paced environment.
• Ownership: A true leader — not a manager.

Requirements:

• Bachelor’s or master’s degree in marketing, Business Administration, or a related field.
• Minimum 5–10 years of experience in digital marketing or brand management, with B2B SaaS experience being mandatory.
• Proven success in lead generation, campaign management, and marketing analytics.
• Strong understanding of B2B marketing dynamics and SaaS business models.
• Excellent presentation, negotiation, and interpersonal skills.
• Self-motivated, detail-oriented, and adaptable to changing priorities.
• Proficiency with CRM and marketing automation tools.
• Background in marketing hospitality SaaS products (PMS, RMS, OTA, Channel Managers, Distribution) preferred. Familiarity with advanced analytics tools (Power BI, Tableau, Segment, etc.).
• Experience tracking and managing key SaaS metrics — MRR, ARR, CAC, LTV, RAOS, ARPA, etc.

MANDATORY CRITERIA:

- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.

- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.

- Candidate must have strong hands-on experience in Product + Data Analysis + Python.

- Candidate should have Python skill on the scale of 3/5 at least.

- Proficiency in SQL and ability to work with large datasets.

- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.

- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).

- Candidate must have experienece in Jira.

- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.

OVERVIEW:

As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.

WHAT YOU WILL DO?

● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.

● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.

● Performing competitive benchmarking and industry research to support product strategy and prioritization.

● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.

● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.

● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).

● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.

● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.

WHAT WE ARE LOOKING FOR?

● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.

● Strong analytical, quantitative, and problem-solving skills.

● Proficiency in SQL and ability to work with large datasets.

● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).

● Excellent communication skills — able to turn data into clear narratives and actionable recommendations.

● Ability to work collaboratively in cross-functional teams.

● Passion for product, user behavior, and data-driven decision-making

● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.

● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).

● Understanding of product management concepts and tools (Jira, Confluence, etc.).

● Knowledge of Python or R for data analysis (optional but beneficial).

● Exposure to consumer tech, mobility, travel, or marketplaces.

MANDATORY CRITERIA:

- Candidate Must be a graduate from IIT, NIT, NSUT, or DTU.

- Need candidate with 1–2 years of pure Product Analyst experience is mandatory.

- Candidate must have strong hands-on experience in Product + Data Analysis + Python.

- Candidate should have Python skill on the scale of 3/5 at least.

- Proficiency in SQL and ability to work with large datasets.

- The candidate must experience with A/B testing, cohorts, funnels, retention, and product metrics.

- Hands-on experience with data visualization tools (Tableau, Power BI, Looker, Mixpanel, GA, etc.).

- Candidate must have experienece in Jira.

- Strong communication skills with the ability to work with Product, Engineering, Business, and Ops teams.

OVERVIEW:

As a Product Analyst, you will play a critical role in driving product decisions through data insights and operational understanding. You’ll work closely with Product Managers, Engineering, Business, and Operations teams to analyze user behavior, monitor feature performance, and identify opportunities that accelerate growth, improve user experience, and increase revenue. Your focus will be on translating data into actionable strategies, supporting product roadmaps, and enabling informed decision-making across demand-side projects and operations.

WHAT YOU WILL DO?

● Partnering with Product Managers and cross-functional teams to define metrics, build dashboards, and track product performance.

● Conducting deep-dive analyses of large-scale data to identify trends, user behavior patterns, growth gaps, and improvement opportunities.

● Performing competitive benchmarking and industry research to support product strategy and prioritization.

● Generating data-backed insights to drive feature enhancements, product experiments, and business decisions.

● Tracking post-launch impact by measuring adoption, engagement, retention, and ROI of new features.

● Working with Data, Engineering, Business, and Ops teams to design and measure experiments (A/B tests, cohorts, funnels).

● Creating reports, visualizations, and presentations that simplify complex data for stakeholdersand leadership.

● Supporting the product lifecycle with relevant data inputs during research, ideation, launch, and optimization phases.

WHAT WE ARE LOOKING FOR?

● Bachelor’s degree in engineering, statistics, business, economics, mathematics, data science, or a related field.

● Strong analytical, quantitative, and problem-solving skills.

● Proficiency in SQL and ability to work with large datasets.

● Experience with data visualization/reporting tools (e.g., Excel, Google Sheets, Power BI, Tableau, Looker, Mixpanel, GA).

● Excellent communication skills — able to turn data into clear narratives and actionable recommendations.

● Ability to work collaboratively in cross-functional teams.

● Passion for product, user behavior, and data-driven decision-making

● Prior internship or work experience in product analytics, business analysis, consulting, or growth teams.

● Familiarity with experimentation techniques (A/B testing, funnels, cohorts, retention metrics).

● Understanding of product management concepts and tools (Jira, Confluence, etc.).

● Knowledge of Python or R for data analysis (optional but beneficial).

● Exposure to consumer tech, mobility, travel, or marketplaces.

Responsibilities

• Work with large and complex blockchain data sets and derive investment relevant metrics in close partnership with financial analysts and blockchain engineers.
• Apply knowledge of statistics, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to the development of fundamental metrics needed to evaluate various crypto assets.
• Build a strong understanding of existing metrics used to value various decentralized applications and protocols.
• Build customer facing metrics and dashboards.
• Work closely with analysts, engineers, Product Managers and provide feedback as we develop our data analytics and research platform.

Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience (or) degree in an analytical field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research, Management Science)
• 3+ years experience with data analysis and metrics development
• 3+ years experience analyzing and interpreting data, drawing conclusions, defining recommended actions, and reporting results across stakeholders
• 2+ years experience writing SQL queries
• 2+ years experience scripting in Python
• Demonstrated curiosity in and excitement for Web3/blockchain technologies