Job Summary
We are looking for a highly analytical and experienced Lead Data Analyst – Marketing & Content Analytics to lead data-driven initiatives across marketing, digital campaigns, and content performance. The ideal candidate will possess deep expertise in Exploratory Data Analysis (EDA), marketing analytics, data governance, and content performance measurement. This role requires a strategic thinker capable of transforming complex datasets into actionable business insights while establishing robust data quality and reporting frameworks.
As a Lead Data Analyst, you will work closely with marketing, content, product, and business teams to optimize campaigns, improve customer engagement, enhance operational processes, and enable informed business decisions through advanced analytics.
Key ResponsibilitiesMarketing Data Analysis & Business Insights
- Perform comprehensive Exploratory Data Analysis (EDA) to identify trends, patterns, correlations, and anomalies across marketing and content datasets.
- Analyze campaign performance across multiple channels, including paid media, organic, email, SEO, social media, and web analytics.
- Evaluate customer acquisition, retention, engagement, and conversion metrics to identify growth opportunities.
- Deliver actionable recommendations to improve marketing ROI and campaign effectiveness.
- Develop executive dashboards and performance reports to monitor key business KPIs.
Marketing & Content Analytics
- Measure and analyze content performance across websites, blogs, social media, email campaigns, and digital platforms.
- Identify audience behavior, engagement trends, and conversion drivers.
- Support content strategy with data-backed recommendations for optimization.
- Track marketing attribution models and customer journey analytics.
- Monitor funnel performance and recommend optimization strategies.
Process Analysis & Business Optimization
- Develop a deep understanding of end-to-end marketing and content workflows.
- Identify process inefficiencies, operational bottlenecks, and automation opportunities.
- Collaborate with cross-functional teams to improve data collection, reporting accuracy, and business processes.
- Recommend process improvements to enhance operational efficiency.
Data Quality & Governance
- Design, implement, and maintain data quality frameworks and validation rules.
- Establish data monitoring systems to ensure data accuracy, completeness, consistency, and integrity.
- Create documentation for data standards, governance policies, and reporting processes.
- Collaborate with engineering and business teams to improve data pipelines and lifecycle management.
Advanced Analytics & Predictive Insights
- Apply statistical techniques, hypothesis testing, regression analysis, clustering, and forecasting models to generate deeper business insights.
- Build scalable analytical models for marketing optimization.
- Identify emerging trends using advanced analytical methodologies.
- Recommend enhancements to analytics frameworks, reporting structures, and decision-making processes.
Leadership & Stakeholder Management
- Present analytical findings to senior leadership in a clear and actionable manner.
- Partner with marketing, product, sales, and technology teams to drive strategic initiatives.
- Mentor junior analysts and promote best practices in analytics and data governance.
- Foster a culture of data-driven decision-making across the organization.
Required Technical SkillsData Analysis
- Exploratory Data Analysis (EDA)
- Statistical Analysis
- Data Mining
- Predictive Analytics
- Trend Analysis
- Customer Analytics
- Marketing Attribution
- Funnel Analysis
Programming & Query Languages
- Advanced SQL
- Python (Pandas, NumPy, Matplotlib, Scikit-learn)
- R (Preferred)
- Advanced Microsoft Excel (Power Query, Pivot Tables, Power Pivot)
Data Visualization
- Power BI
- Tableau
- Looker Studio
- Microsoft Power BI Service
- Dashboard Development
- Data Storytelling
Marketing Analytics Tools
- Google Analytics 4 (GA4)
- Google Tag Manager (GTM)
- Google Search Console
- Meta Ads Manager
- LinkedIn Campaign Manager
- CRM Analytics (HubSpot, Salesforce, Zoho CRM)
Data Quality & Governance
- Data Validation Frameworks
- Data Governance Best Practices
- Data Quality Monitoring
- Metadata Documentation
- Master Data Management (Preferred)
- Data Lifecycle Management
Database & Cloud (Preferred)
- MySQL
- PostgreSQL
- Snowflake
- BigQuery
- Azure Data Factory
- AWS Analytics Services
- Databricks (Preferred)
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- Master's degree (MBA, Data Science, Analytics, or Statistics) is preferred.
- Relevant certifications in Power BI, Tableau, Google Analytics, SQL, Python, or Data Analytics are an advantage.
Experience
- 6–8 years of experience in Marketing Analytics, Business Analytics, or Data Analytics.
- Proven experience in Exploratory Data Analysis (EDA).
- Strong background in content performance analytics and digital marketing analytics.
- Experience designing and implementing data quality frameworks and governance processes.
- Hands-on experience with large datasets and marketing reporting systems.
- Experience working with cross-functional business stakeholders.
Key Competencies
- Strong analytical and critical thinking skills.
- Excellent problem-solving abilities.
- Advanced business acumen.
- Strong communication and presentation skills.
- Ability to simplify complex analytical findings for non-technical stakeholders.
- High attention to detail and data accuracy.
- Strong stakeholder management and collaboration skills.
- Ability to lead analytical initiatives independently.
Key Performance Indicators (KPIs)
- Accuracy and reliability of reporting dashboards.
- Improvement in marketing campaign performance and ROI.
- Data quality score and validation compliance.
- Reduction in reporting turnaround time.
- Process optimization and operational efficiency improvements.
- Customer engagement and conversion insights delivered.
- Stakeholder satisfaction with analytics support.
- Adoption of data-driven recommendations across business teams.
Why Join Us?
- Opportunity to work on large-scale marketing and content analytics initiatives.
- Exposure to modern analytics tools and cloud-based data platforms.
- Collaborative and innovation-driven work environment.
- Opportunity to influence strategic business decisions through data.
- Continuous learning, career growth, and leadership opportunities.
Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)
