Data Processing Specialist

Job Title: Data Operations Specialist

We are seeking a highly organized and detail-oriented individual to join our team as a Data Operations Specialist. As a key member of our data processing team, you will play a crucial role in ensuring the accuracy and integrity of our data.

Responsibilities:

• 1. Data Processing and Management
  • Oversee the entire data processing workflow, ensuring timely and accurate data entry, validation, and reporting.
  • Monitor data quality and troubleshoot inconsistencies or errors.
  • Maintain databases, spreadsheets, and other data management tools.
  • Ensure compliance with data security policies and company guidelines.
• 2. Workflow Coordination
  • Plan, schedule, and coordinate data processing tasks to meet deadlines.
  • Assign tasks to team members and monitor progress to ensure efficient operations.
  • Work closely with production teams to align data processing with overall project requirements.
  • Identify and resolve bottlenecks in data processing workflows.
• 3. Communication and Collaboration
  • Act as a liaison between different departments (e.g., IT, production, analytics, and management) to ensure smooth data processing operations.
  • Communicate project updates, issues, and deadlines to relevant stakeholders.
  • Provide support and training to team members on data processing tools and protocols.
• 4. Quality Control and Compliance
  • Ensure accuracy and integrity of processed data before submission or reporting.
  • Implement quality control measures to minimize errors and improve efficiency.
  • Follow industry regulations and company policies regarding data handling and security.
• 5. Reporting and Documentation
  • Prepare reports, dashboards, and summaries on data processing performance.
  • Maintain detailed records of processed data, errors, and corrective actions taken.
  • Document standard operating procedures (SOPs) for data processing tasks.
• 6. Technical Support and Troubleshooting
  • Work with IT teams to resolve data-related technical issues.
  • Test and implement new data processing tools or software as required.
  • Ensure systems are updated and functioning correctly for optimal data processing performance.
• 7. Process Improvement
  • Analyze existing data processing methods and suggest improvements to increase efficiency.
  • Research and recommend automation tools to streamline workflows.
  • Stay updated on best practices in data processing and production coordination.

Requirements:

• 1. Education and Experience
  • Bachelor's degree in a relevant field (e.g., Information Technology, Data Science, Business Administration, Computer Science, or related disciplines).
  • 1-3 years of experience in data processing, production coordination, or a related role.
  • Experience in a fast-paced production or data-driven environment is preferred.
  • Familiarity with data management systems, workflow coordination, and reporting tools.
• 2. Technical Skills
  • Proficiency in data processing tools (Excel, SQL, Python, or other database management systems).
  • Experience with Advanced Jira, Confluence, Figma, Microsoft Word, PowerPoint, Photoshop, Final Cut Pro X. Basic Microsoft Project, Tableau, Power BI, KNIME.
  • Understanding of data security, compliance, and regulatory standards.
• 3. Organizational and Coordination Skills
  • Strong project management and organizational skills to handle multiple tasks simultaneously.
  • Ability to prioritize and meet deadlines in a high-pressure environment.
  • Detail-oriented mindset with a strong focus on accuracy and efficiency.
• 4. Communication and Teamwork
  • Excellent written and verbal communication skills to liaise with internal teams and external stakeholders.
  • Ability to collaborate with cross-functional teams (e.g., IT, production, operations).
  • Strong problem-solving skills to troubleshoot data processing issues.
• 5. Adaptability and Problem-Solving
  • Ability to identify inefficiencies and recommend process improvements.
  • Comfortable working with large datasets and complex workflows.
  • Willingness to learn and adapt to new data processing technologies and industry trends.
• 6. Additional Preferred Qualifications
  • Certification in data management, project coordination, or quality control is a plus.
  • Knowledge of industry-specific data processing regulations (if applicable).