Zoom Hiring: Data Analyst, Marketing Analytics 2026:-
Zoom is hiring a Data Analyst, Marketing Analytics to join its Marketing Analytics team within IT. This full-time remote opportunity in India is suited to experienced professionals with strong SQL, Tableau, statistical analysis, marketing analytics, and data visualization skills.
| Company: | Zoom |
| Job Title: | Data Analyst, Marketing Analytics |
| Employment Type: | Full-Time |
| Experience Required: | 3+ years of SQL experience and 3+ years of Tableau experience |
| Salary: | As per Company Standards |
| Application Deadline: | ASAP |
Role Overview:-
The Data Analyst, Marketing Analytics will support Zoom’s global Chief Marketing Officer (CMO) organization by transforming marketing data into meaningful insights that guide business strategy and campaign decisions.
The role combines data analysis, dashboard development, statistical analysis, marketing performance measurement, and stakeholder communication.
The analyst will work with marketing data from digital, social, email, and event channels to evaluate campaign performance, understand customer journeys, identify conversion opportunities, and assess the effectiveness of marketing investments.
Key focus areas include:
- Marketing campaign performance analysis
- SQL-based data extraction and analysis
- Tableau dashboard development
- Return on Investment (ROI) measurement
- Customer behavior and funnel analysis
- Marketing attribution modeling
- Statistical analysis using Python or R
- Custom dashboard development using JavaScript
- KPI definition and measurement frameworks
- Executive reporting and strategic recommendations
Educational Requirements:-
Candidates should have:
- A bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience.
- At least 3 years of experience using SQL for data analysis and querying.
- At least 3 years of experience with Tableau for data visualization and dashboard development.
- Knowledge of digital marketing concepts, including customer journey mapping, attribution modeling, funnel analysis, and marketing mix optimization.
- Experience performing statistical analysis using Python or R.
- Experience building custom dashboards using JavaScript.
- Strong communication and presentation skills.
Note: The provided description does not specify a particular degree specialization beyond the listed fields, a minimum percentage, or specific certifications.
Key Skills:-
Technical Skills
SQL and Data Analysis
- SQL query writing and data extraction
- Data filtering, aggregation, and transformation
- Joining datasets from multiple sources
- Marketing data analysis
- Data validation and quality checks
- Trend and performance analysis
- Ad-hoc data analysis
- Analytical reporting
Data Visualization and Reporting
- Tableau dashboard development
- Interactive dashboards and visualizations
- Marketing KPI reporting
- Campaign performance reporting
- Executive-level reporting
- Data storytelling and insight presentation
- Dashboard design and usability
- Custom dashboard development using JavaScript
Programming and Statistics
- Python or R for statistical analysis
- Statistical testing and hypothesis evaluation
- Marketing experiment analysis
- Data interpretation and trend identification
- Quantitative analysis
- Analytical problem-solving
Marketing Analytics
- Marketing campaign performance measurement
- Return on Investment (ROI) analysis
- Attribution modeling
- Customer journey mapping
- Funnel conversion analysis
- Marketing mix optimization
- Digital marketing analytics
- Cross-channel performance analysis
Functional Skills
- Marketing performance measurement
- Campaign effectiveness evaluation
- KPI definition and monitoring
- Marketing measurement framework development
- Customer behavior analysis
- Conversion funnel analysis
- Budget allocation recommendations
- Marketing experiment evaluation
- Data-driven campaign optimization
- Business requirements gathering
- Executive reporting and recommendations
- Cross-functional stakeholder collaboration
Soft Skills
- Strong analytical and critical-thinking abilities
- Excellent written and verbal communication
- Presentation and data storytelling skills
- Ability to explain complex findings to non-technical audiences
- Attention to detail
- Business judgment and problem-solving
- Strategic thinking
- Collaboration with marketing and IT teams
- Time management and prioritization
- Ability to manage multiple analytical requests
- Confidence presenting insights to senior leadership
Roles & Responsibilities:-
1. Marketing Dashboard Development and Reporting
- Design and develop comprehensive dashboards to monitor marketing campaign performance.
- Build Tableau dashboards and reports covering key marketing metrics across digital, social, email, and event channels.
- Track campaign performance, ROI, conversion rates, and other relevant business KPIs.
- Develop visual reports that help stakeholders understand marketing performance and business outcomes.
- Maintain and enhance existing dashboards based on evolving reporting requirements.
- Ensure dashboards communicate insights clearly and support business decision-making.
- Use JavaScript to build custom dashboards where required.
- Present complex datasets in accessible, meaningful visual formats.
2. SQL-Based Data Analysis
- Write SQL queries to retrieve and analyze marketing data.
- Extract, filter, aggregate, and combine datasets to answer business questions.
- Analyze marketing performance data across channels and campaigns.
- Investigate changes in campaign metrics and identify performance trends.
- Validate analytical results and ensure data consistency.
- Support ad-hoc data requests from marketing stakeholders.
- Use structured data analysis to identify performance gaps and improvement opportunities.
- Translate business questions into analytical queries and measurable outputs.
3. Marketing Campaign Performance and ROI Analysis
- Analyze the effectiveness of marketing campaigns across multiple channels.
- Measure campaign ROI and evaluate performance against established KPIs.
- Identify campaigns, channels, and activities that contribute to business growth.
- Assess the impact of marketing initiatives on customer engagement and conversions.
- Evaluate campaign performance to identify opportunities for improvement.
- Provide data-driven recommendations to optimize campaign strategy and budget allocation.
- Monitor marketing metrics to help stakeholders understand results and business impact.
- Support decisions related to campaign planning and resource allocation.
4. Customer Behavior and Funnel Analysis
- Conduct detailed analysis of customer behavior and engagement patterns.
- Evaluate funnel conversion rates across different stages of the customer journey.
- Identify points where potential customers drop off or fail to convert.
- Investigate factors that influence customer engagement and conversion outcomes.
- Analyze customer journey data to identify growth opportunities.
- Support marketing teams in understanding customer interactions across channels.
- Recommend changes that may improve conversion rates and campaign effectiveness.
- Use analytical findings to support customer acquisition and engagement strategies.
5. Attribution Modeling and Measurement Frameworks
- Analyze attribution data to understand how different marketing channels contribute to business outcomes.
- Support the development and refinement of marketing attribution models.
- Work with marketing stakeholders to define KPIs and measurement frameworks.
- Help establish consistent approaches for measuring campaign performance.
- Evaluate how digital, social, email, and event channels contribute to conversions.
- Assess marketing mix performance and identify opportunities for optimization.
- Provide insights that support better evaluation of marketing investments.
- Ensure analytical outputs align with agreed business definitions and measurement objectives.
6. Statistical Analysis and Marketing Experiments
- Perform statistical analysis using Python or R.
- Analyze marketing experiments to evaluate campaign effectiveness.
- Test hypotheses and assess whether observed performance differences are meaningful.
- Evaluate experiment results and communicate key findings.
- Support ad-hoc analyses designed to answer specific marketing questions.
- Validate assumptions and interpret quantitative results.
- Identify patterns and relationships within marketing datasets.
- Provide evidence-based recommendations to improve marketing performance.
7. Business Recommendations and Executive Reporting
- Translate complex analytical findings into clear, actionable business insights.
- Prepare presentations and reports for marketing stakeholders and senior leadership.
- Explain trends, risks, opportunities, and performance gaps using data.
- Recommend improvements to marketing campaigns, channel performance, and budget allocation.
- Communicate analytical conclusions in a way that supports strategic decision-making.
- Tailor reporting to the needs of technical teams, marketing leaders, and executive audiences.
- Ensure recommendations are supported by appropriate data and analysis.
- Help leadership understand the business implications of marketing performance results.
8. Stakeholder Collaboration
- Partner with marketing teams across the global CMO organization.
- Work with stakeholders to understand analytical requirements and business objectives.
- Collaborate with IT and other relevant teams to support reliable reporting and data analysis.
- Clarify KPI definitions, measurement requirements, and campaign evaluation criteria.
- Respond to ad-hoc analytical requests and provide timely findings.
- Share insights that support campaign planning, execution, and optimization.
- Build effective working relationships with cross-functional teams.
- Contribute to a collaborative, data-driven marketing culture.
9. Continuous Improvement and Analytical Quality
- Identify opportunities to improve dashboards, reporting processes, and analytical methods.
- Refine data visualizations to improve clarity and usability.
- Review analytical approaches to ensure they answer the intended business questions.
- Maintain consistency in reporting definitions and KPI calculations.
- Improve the quality and effectiveness of marketing performance measurement.
- Explore better ways to communicate insights and support strategic decisions.
- Apply feedback from stakeholders to enhance reports and analytical deliverables.
- Support continuous improvement across marketing analytics activities.
About the Company:-
Zoom is a technology company known for its communication and collaboration platform, which helps individuals and organizations connect through video meetings, phone services, events, contact center solutions, and other collaboration products.
Zoom’s teams work on products and services designed to improve communication, collaboration, and productivity. The company emphasizes customer-focused innovation, teamwork, professional development, and a collaborative work environment.
Zoom Hiring: Data Analyst, Marketing Analytics 2026 Application Process:-
Apply Link:- Click Here To Apply
Note:- Only the shortlisted candidates will be notified for the further interview process.
