Data Steward - Revenue Operations

About Us

At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. 

We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based on an evaluation of their potential and support them throughout their time at Cloudflare. Come join us! 

Available Locations: Bengaluru

About the Role

We are seeking a highly motivated and detail-oriented Data Steward to join our growing Revenue Operations team in India. In this critical role, you will be instrumental in ensuring the integrity, quality, and usability of our core account data within Salesforce. You will be responsible for proactive data clean-up, ongoing data operations, and supporting key sales processes, directly contributing to the efficiency and effectiveness of our global sales organization. This role requires a highly organized individual with strong analytical skills and a passion for data accuracy.

Responsibilities

• Data Quality Management: Proactively monitor, cleanse, and enrich account data within Salesforce (SFDC) to ensure accuracy, completeness, and consistency.
• Data Operations: Execute routine data maintenance tasks, including deduplication, standardization, account hierarchy cleanup and validation of account records.
• Case Management: Manage incoming tickets within documented Service Level Agreement (SLA) from the Field and Revenue Operations for specific Data related requests (Create, Update and Merge Accounts)
• Reporting & Analysis: Generate regular and ad-hoc reports and dashboards to identify data anomalies, track data quality metrics, and provide insights to the Revenue Operations team.
• Collaboration: Work closely with Sales, Sales Operations, Systems, and other cross-functional teams to understand their data needs, troubleshoot issues, and provide data-driven solutions.
• Tool Utilization: Leverage tools such as SQL, Alteryx, Salesforce (SFDC), and Excel to perform complex data manipulation, analysis, and automation tasks.
• Documentation: Maintain clear and concise documentation of data definitions, processes, and data quality rules.
• Communication: Clearly communicate data insights, issues, and solutions to technical and non-technical stakeholders.

Qualifications

Required:

• Experience: 3+ years of progressive experience in a data-focused role, preferably within Revenue Operations, Sales Operations, or a similar analytical function with a focus on Customer and Contact data.
• Education: Undergraduate degree in Data Management, Business Analytics, Information Systems, Computer Science, or a related quantitative field.
• Salesforce (SFDC) Expertise: Strong hands-on experience with Salesforce (SFDC) data architecture, reporting, and mass data operations (e.g., Data Loader). Understanding of standard and custom objects, fields, and relationships, especially concerning Account and related objects.
• SQL Proficiency: Advanced proficiency in SQL for data extraction, manipulation, and analysis from various databases.
• Alteryx Experience: Proven experience using Alteryx (or similar ETL/data blending tools) for data preparation, workflow automation, and data quality initiatives.
• Excel Mastery: Expert-level proficiency in Microsoft Excel (pivot tables, VLOOKUPs, advanced formulas, data modeling).
• Analytical Mindset: Highly structured, organized, and analytical approach to problem-solving, with meticulous attention to detail.
• Communication Skills: Excelle