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Job Title: Data Operations Specialist

Location: Jaipur (Candidates should be ready to relocate) (Nearby Locations)

Experience: 4–6 Years

Employment Type: Full-Time, Permanent

CTC: Up to ₹8 LPA

Shift Timings: 10:00 AM – 7:00 PM IST

Reporting To: VP – Delivery / Manager (as assigned)

About the Role

We are looking for a detail-oriented and analytical Data Operations Specialist to support our data-driven initiatives by ensuring the accuracy, consistency, and reliability of business data. The ideal candidate will have hands-on experience in data operations, SQL, ETL processes, and data quality management while collaborating with cross-functional teams to optimize data workflows and support business decision-making.

Key Responsibilities

• Execute data collection, enrichment, validation, and delivery activities for internal and customer projects.
• Monitor and improve data quality by identifying inconsistencies, resolving discrepancies, and implementing corrective measures.
• Develop and optimize SQL queries for data extraction, validation, and reporting.
• Collaborate with Engineering teams to support data integration, automation, and scalable data processes.
• Partner with Product, Business, and Operations teams to understand data requirements and deliver accurate datasets.
• Maintain data integrity by following data governance standards and quality assurance best practices.
• Validate and integrate external data sources and vendor-provided datasets.
• Support continuous improvement initiatives for data workflows and operational efficiency.
• Create reports and dashboards using data visualization tools to provide actionable business insights.
• Ensure compliance with organizational data standards and privacy regulations.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Analytics, or a related field.
• 4–6 years of experience in Data Operations, Data Management, Business Intelligence, or Data Analytics.
• Strong understanding of Data Governance, ETL processes, Data Validation, and Data Quality methodologies.
• Proficiency in SQL for querying and data manipulation.
• Advanced knowledge of Microsoft Excel or Google Sheets.
• Experience working with data visualization tools such as Power BI, Tableau, or similar platforms.
• Strong analytical and problem-solving skills with exceptional attention to detail.
• Ability to work independently and deliver reliable, high-quality solutions.
• Excellent verbal and written communication skills in English.
• Experience collaborating with cross-functional teams in a fast-paced environment.

Preferred Skills

• Experience with Python scripting or automation tools.
• Exposure to SaaS, B2B Data, Lead Intelligence, or Data Enrichment platforms.
• Knowledge of GDPR, CCPA, and other data privacy regulations.
• Familiarity with data integration tools and workflow automation.
• Ability to thrive in global and remote collaborative environments.

Job Description:

We are seeking a Tableau Developer with 5+ years of experience to join our Core Analytics team. The candidate will work on large-scale BI projects using Tableau and related tools.

Must Have:

• Strong expertise in Tableau Desktop and Server, including add-ons like Data and Server Management.
• Ability to interpret business requirements, build wireframes, and finalize KPIs, calculations, and designs.
• Participate in design discussions to implement best practices for dashboards and reports.
• Build scalable BI and Analytics products based on feedback while adhering to best practices.
• Propose multiple solutions for a given problem, leveraging toolset functionality.
• Optimize data sources and dashboards while ensuring business requirements are met.
• Collaborate with product, platform, and program teams for timely delivery of dashboards and reports.
• Provide suggestions and take feedback to deliver future-ready dashboards.
• Peer review team members’ dashboards, offering constructive feedback to improve overall design.
• Proficient in SQL, UI/UX practices, and alation, with an understanding of good data models for reporting.
• Mentor less experienced team members.