Data Quality Analyst (Salesforce Data Steward)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Quality Analyst (Salesforce Data Steward) based in India.

This role is an opportunity to take ownership of Salesforce data quality across a global business environment. You will help ensure customer and account data remains accurate, complete, standardized, and reliable for critical business processes. The position combines Salesforce data stewardship with analytics, automation, AI, and process improvement. You will work closely with Sales, Finance, Revenue Operations, and technical teams to prevent data issues from disrupting downstream revenue activities. A major focus will be replacing repetitive manual checks with scalable SQL, Python, AI, and automated validation solutions. You will also develop reporting and monitoring capabilities that make data health visible and actionable across the organization. This role is well suited to a data-focused Salesforce professional who enjoys solving complex quality challenges and building smarter, more automated processes.

Accountabilities: Manage and improve Salesforce data quality across core objects including Accounts, Contacts, and Opportunities, with a focus on key firmographic information such as industry, company size, geography, and DUNS.

Perform data enrichment, standardization, cleansing, deduplication, and large-scale data updates using third-party enrichment providers, manual research, DemandTools, Data Loader, and similar solutions.

Validate and standardize inbound data before updates to ensure consistency with established business and governance standards.

Develop and maintain data quality reports and dashboards using Salesforce and Power BI to monitor KPIs, identify trends, and provide visibility into overall data health.

Establish and enforce data governance standards, documentation, metadata practices, privacy requirements, and data-quality controls.

Design and maintain automated validation checks that continuously evaluate Salesforce data against defined business rules and identify errors or gaps proactively.

Monitor and resolve data-quality issues that could delay or block critical Quote-to-Cash processes, including building alerts that surface problems before they affect downstream operations.

Apply AI and large language models to accelerate data matching, classification, enrichment, anomaly detection, standardization, and validation activities.

Build and maintain SQL- and Python-based data processing, validation, and automation pipelines that reduce repetitive manual work.

Partner with technical and Revenue Operations teams to improve integrations, workflows, system design, and upstream data controls.

Measure the effectiveness of automation and continuously expand validation coverage across fields, objects, and business rules.

Identify opportunities to improve data processes, operational efficiency, and scalability through automation and technology.

Requirements

4+ years of strong, hands-on experience managing Salesforce data and working with Salesforce data models.

Proficiency in SQL and Python for data analysis, processing, validation, and automation.

Hands-on experience creating automated data-quality checks and translating business rules into reliable validation logic.

Experience applying AI or automation to data-related activities, such as matching, classification, enrichment, anomaly detection, or data validation, or a strong demonstrated interest in developing these capabilities.

Practical experience with DemandTools or comparable tools for data transformation, cleansing, and deduplication.

Experience with Power BI or Microsoft Power Platform, along with intermediate to advanced Excel skills.

Proven experience managing large-scale datasets, data cleansing, deduplication, standardization, and quality improvement initiatives.

Strong analytical and problem-solving abilities, exceptional attention to detail, and a proactive mindset toward automating repetitive processes.

Understanding of Quote-to-Cash or order management processes and the impact that poor data quality can have on quoting, approvals, ordering, provisioning, and billing is advantageous.

Experience with Dun & Bradstreet or other data enrichment providers is a plus.

Familiarity with Salesforce APIs, SOQL, integrations, and workflow automation is preferred.

Experience with Snowflake or other cloud data platforms is beneficial.

Understanding of data governance frameworks and master data management concepts is advantageous.

Experience with AI/LLM tools or frameworks applied to data quality and process automation is a plus.

Salesforce certifications are considered an advantage.

Strong communication and collaboration skills, with the ability to work effectively across business and technical teams.

Benefits

Remote-first working environment with flexibility for eligible employees.

Opportunity to work on data quality, automation, AI, and Salesforce initiatives with significant business impact.

Collaborative and inclusive culture that values diverse perspectives and innovative thinking.

Opportunities to build expertise through exposure to modern data, AI, analytics, and automation technologies.

Employee-led diversity and inclusion networks that foster community, education, and advocacy.

Annual charity, fundraising, and employee volunteer initiatives.

Global sustainability initiatives supporting environmental responsibility.

Global fitness and trivia activities designed to encourage connection and wellbeing.

Dedicated wellbeing days and regular wellbeing webinars and training.

Supportive environment focused on professional development, inclusion, and continuous improvement.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1