Key Responsibilities:

Digital Data Quality &amp; Governance

<ul>
<li style="margin-left:0px;">Own the end-to-end digital data quality strategy for membership experiences, ensuring accuracy, completeness, timeliness, and consistency of event-level data.</li>
</ul>

<ul>
<li style="margin-left:0px;">Establish and maintain data quality standards, validation rules, monitoring processes, and issue management routines across web and mobile platforms.</li>
</ul>

<ul>
<li style="margin-left:0px;">Proactively identify data defects, inconsistencies, and breaks; partner with Technology teams to drive prioritization and resolution.</li>
</ul>

<ul>
<li style="margin-left:0px;">Tagging &amp; Instrumentation Strategy</li>
</ul>

<ul>
<li style="margin-left:0px;">Lead the design, implementation, and governance of digital tagging and instrumentation frameworks, including event taxonomies, data layers, and metadata standards.</li>
</ul>

<ul>
<li style="margin-left:0px;">Embed tagging and measurement requirements into the product development life cycle, ensuring instrumentation is designed upfront for all new features, journeys, and platform enhancements.</li>
</ul>

<ul>
<li style="margin-left:0px;">Ensure digital instrumentation supports core use cases including customer experience measurement, experimentation, personalization, and digital revenue tracking.</li>
</ul>

Adobe Platform Partnership

<ul>
<li style="margin-left:0px;">Partner closely with Adobe platform teams to ensure digital tagging strategies align with enterprise Adobe implementations and best practices.</li>
</ul>

<ul>
<li style="margin-left:0px;">Drive consistency, standardization, and governance of Adobe-based data capture across platforms and journeys.</li>
</ul>

<ul>
<li style="margin-left:0px;">Act as a key point of contact between Enterprise Digital, Adobe teams, and Technology partners to resolve data issues and scale enhancements effectively.</li>
</ul>

Hit Volume Optimization &amp; Efficiency

<ul>
<li style="margin-left:0px;">Own accountability for optimizing the volume of digital data collection (“hits”), balancing analytical needs with platform performance, data quality, and cost efficiency.</li>
</ul>

<ul>
<li style="margin-left:0px;">Identify and eliminate redundant, low-value, or noisy events while preserving critical signals for measurement and decision-making.</li>
</ul>

<ul>
<li style="margin-left:0px;">Establish governance to continuously review, rationalize, and optimize tagging as products and journeys evolve.</li>
</ul>

Measurement Standards &amp; Documentation

<ul>
<li style="margin-left:0px;">Define and maintain enterprise-aligned digital measurement standards, including KPI definitions, event schemas, and detailed tagging documentation.</li>
</ul>

<ul>
<li style="margin-left:0px;">Drive adoption of standardized tagging and measurement practices across journeys, platforms, and markets.</li>
</ul>

<ul>
<li style="margin-left:0px;">Ensure alignment with enterprise data governance, privacy, consent management, risk, and compliance requirements.</li>
</ul>

Stakeholder Partnership &amp; Influence

<ul>
<li style="margin-left:0px;">Serve as a subject matter expert and trusted partner to Product, Technology, Analytics, Marketing, and Platform teams.</li>
</ul>

<ul>
<li style="margin-left:0px;">Influence digital roadmaps by clearly articulating data risks, dependencies, and opportunities in business terms.</li>
</ul>

<ul>
<li style="margin-left:0px;">Partner with global teams to scale tagging and data quality practices consistently across regions.</li>
</ul>

People Leadership

<ul>
<li style="margin-left:0px;">Lead, develop, and inspire a team of digital data quality and tagging professionals.</li>
</ul>

<ul>
<li style="margin-left:0px;">Foster a culture of ownership, rigor, continuous improvement, and strong cross-functional collaboration.</li>
</ul>

<ul>
<li style="margin-left:0px;">Coach team members to build deep technical expertise and enterprise mindset.</li>
</ul>

Required Qualifications &amp; Experience

<ul>
<li style="margin-left:0px;">Postgraduate degree in Business, Engineering, Computer Science, Analytics, Statistics, or a related field.</li>
</ul>

<ul>
<li style="margin-left:0px;">7+ years of experience in digital analytics, data quality, tagging/instrumentation, or data governance roles.</li>
</ul>

<ul>
<li style="margin-left:0px;">Proven hands-on experience designing and governing digital tagging frameworks across web and mobile platforms.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong understanding of event-based digital data, platform instrumentation, and large-scale data ecosystems.</li>
</ul>

<ul>
<li style="margin-left:0px;">Demonstrated ability to partner effectively with Product and Technology teams in agile delivery environments.</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong problem-solving skills with the ability to balance technical detail and business impact.</li>
</ul>

<ul>
<li style="margin-left:0px;">Experience leading teams and influencing outcomes in a global, matrixed organization </li>
</ul>

Data Analyst

Key Responsibilities: Digital Data Quality &amp; Governance Own the end-to-end digital data quality strategy for membership experiences, ensuring accuracy, completeness, timeliness, and consistency of event-level data. Establish and maintain data quality standards, validation rules, monitoring processes, and issue management routines across web and mobile platforms. Proactively identify data defects, inconsistencies, and breaks; partner with Technology teams to drive prioritization and resolution. Tagging &amp; Instrumentation Strategy Lead the design, implementation, and governance of digital tagging and instrumentation frameworks, including event taxonomies, data layers, and metadata standards. Embed tagging and measurement requirements into the product development life cycle, ensuring instrumentation is designed upfront for all new features, journeys, and platform enhancements. Ensure digital instrumentation supports core use cases including customer experience measurement, experimentation, personalization, and digital revenue tracking. Adobe Platform Partnership Partner closely with Adobe platform teams to ensure digital tagging strategies align with enterprise Adobe implementations and best practices. Drive consistency, standardization, and governance of Adobe-based data capture across platforms and journeys. Act as a key point of contact between Enterprise Digital, Adobe teams, and Technology partners to resolve data issues and scale enhancements effectively. Hit Volume Optimization &amp; Efficiency Own accountability for optimizing the volume of digital data collection (“hits”), balancing analytical needs with platform performance, data quality, and cost efficiency. Identify and eliminate redundant, low-value, or noisy events while preserving critical signals for measurement and decision-making. Establish governance to continuously review, rationalize, and optimize tagging as products and journeys evolve. Measurement Standards &amp; Documentation Define and maintain enterprise-aligned digital measurement standards, including KPI definitions, event schemas, and detailed tagging documentation. Drive adoption of standardized tagging and measurement practices across journeys, platforms, and markets. Ensure alignment with enterprise data governance, privacy, consent management, risk, and compliance requirements. Stakeholder Partnership &amp; Influence Serve as a subject matter expert and trusted partner to Product, Technology, Analytics, Marketing, and Platform teams. Influence digital roadmaps by clearly articulating data risks, dependencies, and opportunities in business terms. Partner with global teams to scale tagging and data quality practices consistently across regions. People Leadership Lead, develop, and inspire a team of digital data quality and tagging professionals. Foster a culture of ownership, rigor, continuous improvement, and strong cross-functional collaboration. Coach team members to build deep technical expertise and enterprise mindset. Required Qualifications &amp; Experience Postgraduate degree in Business, Engineering, Computer Science, Analytics, Statistics, or a related field. 7+ years of experience in digital analytics, data quality, tagging/instrumentation, or data governance roles. Proven hands-on experience designing and governing digital tagging frameworks across web and mobile platforms. Strong understanding of event-based digital data, platform instrumentation, and large-scale data ecosystems. Demonstrated ability to partner effectively with Product and Technology teams in agile delivery environments. Strong problem-solving skills with the ability to balance technical detail and business impact. Experience leading teams and influencing outcomes in a global, matrixed organization

Data Analyst in New Delhi

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Job Description

Job Description for Data Analyst

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