Data Operations Analyst

Updated: Mai 19, 2025 - The Data Operations Analyst contributes to a variety of data analytical activities by analyzing travel expense and billing results for Deloitte Belgium and reporting data insights aligned with predefined objectives. This position support is provided for data integrations to advance Deloitte’s sustainability ambitions, alongside performance reporting on agreed SLAs with partners to drive ongoing improvements. Effective coordination of group bookings and the administration of day-to-day inquiries from travelers ensures optimal technical operating support and enhances the overall travel experience. A Review of Professional Skills and Functions for Data Operations Analyst 1. Data Operations Analyst Duties Lottery System Operation: Operate the lottery systems. Operational Improvement: Make recommendations regarding improvements for operating systems, software, infrastructure, and procedures. Documentation Preparation: Prepare and verify Computer Operations documentation and checklists. Service Provider Management: Manage service providers and verify external provider charges against signed contracts. Project Interface: Interface with the Services Project Manager and customer staff as appropriate during projects. Project Support: Provide support to QA and CAT phases of projects. Operations Mentoring: Provide operations mentoring and support to the customer's operations staff. Field Service Support: Provide field service support. 24-Hour Operations Support: Provide 24-hour front-line operations support where needed. Emergency Response: Respond accordingly during system emergencies to minimize financial penalties. Incident Investigation: Investigate incidents in the production environment, develop incident reports, and follow up with the customer base while working mainly with remote engineers. 2. Data Operations Analyst Details Data Analytics Contribution: Contribute to a wide range of data analytical activities. Expense Analysis: Analyze Deloitte Belgium’s travel expense and billing results, and report data insights according to predefined objectives. Data Integration Support: Support data integrations to achieve Deloitte’s sustainability ambitions. SLA Performance Reporting: Report performance on jointly agreed SLAs with partners through data analysis and contribute to continuous improvement efforts. Global Program Participation: Participate and make an impact in the Deloitte Global travel sourcing programs. Activity Planning: Plan and prioritize activities independently according to the requirements set. Technical Support Assurance: Ensure proper technical operating support for travel partners (optimal end-to-end content in the online booking tool, correct pricing, etc.). Agency Support Monitoring: Monitor the offline agency support team together with the respective travel partners and make suggestions for improvement. Traveler Administration: Administer day-to-day questions of Deloitte Belgium travelers and act as the first escalation point with travel suppliers. Group Booking Coordination: Coordinate group bookings with Deloitte’s organizers. 3. Data Operations Analyst Responsibilities Content Creation: Investigate and identify pieces of information that can be recombined to create new content. Creative Problem Solving: Work with downstream teams to come up with creative solutions to data blockages. Data Normalization: Normalize and format data following the process. Database Management: Load work orders into the database. Content Support: Support a team dedicated to creating wonderful-looking content. Collaborative Teamwork: Work alongside a team consisting of both creative and technical minds. Data Organization: Work with large sets of data and come up with solutions for organizing data. Report Development Coordination: Coordinate report development/coding and operational changes and maintenance when requested by internal business unit owners. Subject Matter Expertise: Serve as a subject matter expert on various projects where appropriate and support team project deliverables. Data Analysis: Identify, research, and explain variances in data, and conduct data analysis, when necessary, to determine the root cause of data inconsistencies. Process Reengineering: Design and lead business process reengineering efforts, including process automation. Data Optimization: Optimize the utilization of investment-related data to support critical business processes. 4. Data Operations Analyst Job Summary Data Process Understanding: Gain an understanding of all data processes and partner with stakeholders to implement controls on data governance and process improvements. Data Governance Monitoring: Monitor data governance and completeness of data into and throughout the environment. Process Implementation: Partner with internal teams to implement new processes that create greater access to content and tools. Issue Resolution: Identify, research, and resolve issues involving data. Collaborative Data Analysis: Work collaboratively with stakeholders and user groups to understand data needs. Documentation Publishing: Publish documentation designed to inform and assist internal stakeholders in understanding the firm’s data offerings. Analytic Project Support: Provide support to analytic projects and create new metrics in reports. Stakeholder Data Analysis: Analyze data from stakeholders and user groups. Cross-Functional Collaboration: Work with cross-functional teams, including other members of the finance organization, attorneys, practice group leaders, the Marketing Department, IT, and others. Attendance Commitment: Maintain regular, predictable, and punctual attendance at the designated worksite. In-Person Interaction: Engage in in-person interaction with other FBT personnel, clients, and/or representatives at the worksite. 5. Data Operations Analyst Accountabilities Requirement Gathering: Partner with the business to gather requirements for new year data collection. Data Submission Support: Support loading, validating, and editing clients’ data submissions to be ready for report generation. Survey Configuration: Configure and run key Survey product deliverables using in-house technology and application systems. Data Quality Tracking: Track data quality and capture data discrepancies using dashboards built in Salesforce. Problem Analysis: Perform problem and root cause analysis, outline resolution options, take appropriate actions to resolve, and ensure data integrity is maintained. Report and Dashboard Creation: Build reports and dashboards in Salesforce to identify data failure points and work with concerned teams on resolution. Data Cleansing Improvement: Proactively identify and resolve any gaps in the data cleansing process and strive for continuous improvement. Data Consolidation: Pull reports from source systems and consolidate them with Salesforce reports for data monitoring, troubleshooting, and resolution. Data Cleaning Ownership: Own the data cleaning activities and review discrepancy resolution done by peers. Data Auditing: Perform day-to-day/weekly/monthly data audits and communicate with teams involved. #J-18808-Ljbffr