Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
Qualys is looking for a highly analytical, technically strong and business-oriented Marketing Data Analyst to join our Marketing Operations organization in Pune. This role sits at the intersection of Marketing, Sales, Revenue Operations, Marketing Technology, Data and Analytics. The ideal candidate will combine strong analytical capabilities with hands-on experience across CRM, marketing automation, business intelligence and data platforms. The role is designed for someone who can work with data, understand processes, identify business problems, build scalable solutions, automate manual processes, and translate complex data into actionable business insights.
The candidate should be proactive and comfortable working closely with global stakeholders, including Campaign Managers, Product Marketing Managers, Sales and Revenue Operations teams. The role will be responsible for providing meaningful marketing data and performance insights, helping stakeholders evaluate campaign effectiveness, ROI and overall business impact, and enabling them to make informed, data-driven decisions. The ability to proactively identify trends, opportunities and areas for improvement - and translate them into actionable recommendations - will be critical to success in this role.
Key Responsibilities
1. Funnel & Performance Analytics
• Analyze the end-to-end marketing and sales funnel, including Lead, MQL, SAL/SQL, Opportunity, Pipeline and Revenue stages.
• Identify funnel conversion rates, bottlenecks, leakage, drop-off points and opportunities for optimization.
• Analyze pipeline velocity, lead quality, campaign contribution and marketing-sourced / marketing-influenced pipeline.
• Develop analytical frameworks to evaluate the effectiveness of marketing programs and initiatives.
• Partner with Marketing, Sales and Revenue Operations teams to identify opportunities to improve funnel performance.
2. Marketing Reporting, Dashboards & Insights
• Build and maintain executive-ready dashboards and reporting frameworks using Tableau, Power BI, Salesforce and other data sources.
• Develop recurring and ad-hoc reporting for Marketing, Sales and leadership stakeholders.
• Establish consistent definitions and reporting methodologies for key marketing metrics.
• Ensure data accuracy, consistency and reconciliation across CRM, marketing automation and BI platforms.
• Turn complex datasets into clear insights, recommendations and actionable business narratives.
3. Data Analysis, SQL & Data Lake Querying
• Write and optimize complex SQL queries to extract, transform and analyze large datasets.
• Use CQL / data-lake query languages and related query environments to retrieve and analyze marketing datasets.
• Perform segmentation, cohort analysis, funnel analysis and campaign performance analysis.
• Combine data from multiple martech systems and data sources to create meaningful business insights.
• Investigate data discrepancies, perform root-cause analysis and work with technical teams to resolve data issues.
• Develop reusable queries, datasets and analytical frameworks to reduce manual reporting effort.
4. Salesforce & Martech Systems
• Work extensively with Salesforce data, including Leads, Contacts, Accounts, Campaigns, Opportunities and related marketing objects.
• Understand CRM data structures, lifecycle stages, campaign membership, lead routing and funnel progression.
• Partner with Marketing Operations and Sales / Revenue Operations teams to improve CRM data quality and reporting.
• Support the design and optimization of marketing processes, workflows and data models.
• Monitor data integrity and identify opportunities to improve CRM governance.
5. Marketing Technology & Automation
• Work with marketing automation and Martech platforms such as Adobe Marketo Engage, Salesforce and other platforms.
• Support integrations and data flows between marketing automation, CRM, enrichment, analytics and other systems.
• Identify repetitive or manual processes and develop scalable automation solutions.
• Collaborate with Marketing Operations and IT / Business Systems teams on system enhancements, integrations and troubleshooting.
• Evaluate new technologies and AI / automation capabilities that can improve marketing efficiency.
6. Campaign, Channel & Market Analytics
• Measure performance across campaigns, programs, events, webinars, digital channels and other marketing initiatives.
• Analyze campaign engagement, conversion, pipeline contribution and ROI.
• Support segmentation and targeting using firmographic, behavioral, engagement and CRM data.
• Develop insights that help Marketing teams optimize audience targeting, campaign execution and investment.
7. Data Quality & Governance
• Monitor and improve data quality across Martech platforms.
• Identify duplicate, incomplete, inconsistent or inaccurate records and develop solutions to address root causes.
• Establish and maintain data definitions, business rules and documentation.
• Partner with stakeholders to ensure consistent lifecycle, campaign, attribution and funnel definitions.
8. Cross-Functional Partnership
• Work closely with Marketing Operations, Demand Generation, Product Marketing, Sales, Revenue Operations, Finance, IT and Data teams.
• Translate business requirements into analytical, technical and operational solutions.
• Communicate findings clearly to both technical and non-technical stakeholders.
• Act as a subject matter expert for marketing data, analytics and reporting.
• Proactively identify opportunities to improve marketing processes rather than simply responding to reporting requests.
Required Skills & Experience
• 7-10 years of experience in Marketing Analytics, Marketing Operations, Revenue Operations, Business Analytics, martech Engineering or a related analytical / technical role.
• Strong hands-on experience with SQL - mandatory.
• Hands-on experience with CQL / data-lake querying - mandatory.
• Strong hands-on experience with Salesforce - mandatory, including understanding of CRM data structures, campaigns, leads, contacts, accounts and opportunities.
• Hands-on experience with BI / visualization platforms, with strong preference for Tableau and Power BI.
• Strong understanding of B2B marketing and sales funnels, including Lead → MQL → SAL/SQL → Opportunity → Pipeline → Revenue.
• Strong analytical and problem-solving skills, with the ability to investigate data and identify root causes.
• Ability to translate business questions into data requirements, analysis and actionable recommendations.
• Strong Excel / Google Sheets skills, including advanced formulas, pivot tables and data analysis.
• Excellent written and verbal communication skills.
• Ability to work effectively with global stakeholders across different time zones.
Skills Required
- 4-7 years of experience in Marketing Analytics, Marketing Operations, Revenue Operations, Business Analytics, martech Engineering, or a related analytical or technical role
- Strong hands-on experience with SQL
- Hands-on experience with CQL or data-lake querying
- Strong hands-on experience with Salesforce, including CRM data structures, campaigns, leads, contacts, accounts, and opportunities
- Hands-on experience with BI or visualization platforms
- Experience with Tableau and Power BI
- Strong understanding of B2B marketing and sales funnels
- Strong analytical and problem-solving skills, including root-cause analysis
- Ability to translate business questions into data requirements, analysis, and actionable recommendations
- Strong Excel and Google Sheets skills, including advanced formulas, pivot tables, and data analysis
- Excellent written and verbal communication skills
- Ability to work effectively with global stakeholders across different time zones
Qualys Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Qualys and has not been reviewed or approved by Qualys.
-
Affordable Benefits — Benefits costs are widely viewed as low for employees and dependents, with healthcare often described as almost fully paid for. Feedback suggests this affordability helps offset perceptions of lower base pay in some roles.
-
Healthcare Strength — Healthcare offerings are broad, including multiple medical plan options, dental and vision coverage, mental health support, and disability insurance. Benefits are described as “pretty amazing” or “great,” reinforcing perceived quality and coverage depth.
-
Equity Value & Accessibility — Equity participation is accessible through company stock plans and an employee stock purchase plan. Compensation packages commonly include equity alongside salary and bonus, which some consider a meaningful part of total rewards.
Qualys Insights
What We Do
Qualys, Inc. (NASDAQ: QLYS) is a pioneer and leading provider of disruptive cloud-based security, compliance and IT solutions with more than 10,000 subscription customers worldwide, including a majority of the Forbes Global 100 and Fortune 100. Qualys helps organizations streamline and automate their security and compliance solutions onto a single platform for greater agility, better business outcomes, and substantial cost savings. The Qualys Cloud Platform leverages a single agent to continuously deliver critical security intelligence while enabling enterprises to automate the full spectrum of vulnerability detection, compliance, and protection for IT systems, workloads and web applications across on premises, endpoints, servers, public and private clouds, containers, and mobile devices. Founded in 1999 as one of the first SaaS security companies, Qualys has strategic partnerships and seamlessly integrates its vulnerability management capabilities into security offerings from cloud service providers, including Amazon Web Services, the Google Cloud Platform and Microsoft Azure, along with a number of leading managed service providers and global consulting organizations. For more information, please visit http://www.qualys.com
