Job Summary: 

• Analyse client carbon and social value data to ensure it has been correctly processed.
• Liaise with customers to request data to fill gaps.
• Generate sustainability reports (PowerPoint) to present carbon and social value data.
• Maintain and improve existing data analysis tools and reports.
• Work with Marketing and Media Teams to understand KPIs and business goals.
• Complete audit of current reporting, analytics, and AB testing tools.
• Make suggestions to improve tools and encourage seamless sharing across tools and departments.
• Complete critical analysis that will drive growth and provide insights.

Skills on Resume:

• Carbon Analysis (Hard Skills)
• Social Reporting (Hard Skills)
• Client Communication (Soft Skills)
• Sustainability Reports (Hard Skills)
• Data Auditing (Hard Skills)
• Analytics Optimization (Hard Skills)
• Team Collaboration (Soft Skills)
• Critical Analysis (Hard Skills)

Job Summary: 

• Support the set-up and continuous improvement, and automation of a new reporting system.
• Help service and sales teams have the right insights and take data-driven decisions on a specific pest-control service.
• Take care of the data from the extraction and gathering from different sources to the data visualization.
• Produce weekly and monthly reports and ad hoc analysis according to the Company’s KPIs.
• Consult daily with the team, the rest of the business, and the technical service teams to understand the business dynamics.
• Participate in projects that require data collection, validation, and analysis.
• Leverage data visualization tools, such as Power BI, to perform interactive data analysis.
• Build process and training documentation within the finance function.

Skills on Resume:

• Reporting Automation (Hard Skills)
• Data-Driven Insights (Hard Skills)
• Data Integration (Hard Skills)
• KPI Reporting (Hard Skills)
• Business Consulting (Soft Skills)
• Data Validation (Hard Skills)
• Power BI (Hard Skills)
• Process Documentation (Hard Skills)

Job Summary: 

• Configure analytical tools to track essential data for further analysis.
• Launch A/B tests and analyse the results.
• Analyze large amounts of information to discover trends and patterns.
• Contribute to the data-driven decision-making of the company by gathering and analyzing data.
• Conduct research for User Acquisition, Product Management, Operations teams, etc.
• Develop various predictive models and optimize workflow across the company.
• Provide insights on data related to customer and freelancer behavior, together with the analytics team.
• Acquire new skills and implement them in a real-life environment.

Skills on Resume:

• Analytics Configuration (Hard Skills)
• A/B Testing (Hard Skills)
• Trend Analysis (Hard Skills)
• Data Analysis (Hard Skills)
• Business Research (Hard Skills)
• Predictive Modeling (Hard Skills)
• Behavior Analysis (Hard Skills)
• Continuous Learning (Soft Skills)

Job Summary: 

• Deliver timely and accurate commercial reporting to the business, including sales reports, telesales reports, and account manager reports.
• Analyze fuel volumes, customer profiles, and new business.
• Assist with building and developing operational models to support the business.
• Understand the customer journey from end to end to identify opportunities to ensure data is traveling between all necessary agents.
• Work within the Operations area of the business alongside all teams, including sales, account management, and credit control.
• Support the manager in the day-to-day and strategic direction of the business.
• Identify, communicate, and resolve gaps in Industry Operations processes.
• Document processes, including detailed working documents for staff to follow.
• Analyze large data sets to identify gaps and mismatches in data.
• Support other team members and the manager in the daily operations of the business.
• Ensure all processes adhere to necessary compliance, including GDPR.
• Follow all rules, regulations, and Health and Safety guidelines of the company and the regulations around the role.

Skills on Resume:

• Commercial Reporting (Hard Skills)
• Sales Analysis (Hard Skills)
• Operational Modeling (Hard Skills)
• Customer Journey (Hard Skills)
• Cross-Team Support (Soft Skills)
• Process Improvement (Hard Skills)
• Data Reconciliation (Hard Skills)
• Compliance Adherence (Hard Skills)

Job Summary: 

• Work with data generated after processing e-commerce transactions and servicing payment cards.
• Structure data for building reports within the Business Intelligence system.
• Formulate tasks accurately to obtain additional data during systematization.
• Specify data requirements clearly to support analytical processes.
• Interact with technical teams to enter additional aggregated indicators.
• Coordinate with internal structures to ensure accurate data integration.
• Set clear tasks for IT specialists to develop data pools, metrics, and attributes.
• Define reporting requirements to guide technical implementation.
• Work with databases to extract and interpret relevant information.
• Analyze data values that need to be reflected across different reports.

Skills on Resume:

• eCommerce Data (Hard Skills)
• BI Reporting (Hard Skills)
• Data Structuring (Hard Skills)
• Requirements Definition (Hard Skills)
• Technical Coordination (Soft Skills)
• Data Integration (Hard Skills)
• Database Analysis (Hard Skills)
• Reporting Consistency (Hard Skills)

Job Summary: 

• Understand the operation flow and system flow.
• Investigate the root causes of issues.
• Follow up with relevant teams to ensure issues are resolved.
• Ensure operations run smoothly and deliverables are met.
• Monitor the timetable of tasks or events closely.
• Prepare reports that capture key points clearly.
• Summarize findings to support decision-making.
• Maintain proper documentation for ongoing operational tracking.

Skills on Resume:

• Process Understanding (Hard Skills)
• Root Cause Analysis (Hard Skills)
• Issue Follow-Up (Soft Skills)
• Operational Monitoring (Hard Skills)
• Schedule Tracking (Hard Skills)
• Report Preparation (Hard Skills)
• Executive Summaries (Hard Skills)
• Operational Documentation (Hard Skills)

Job Summary: 

• Organize data sets related to taxes for payment processing.
• Prepare tax information to ensure accuracy before submission.
• Ensure property tax data is processed correctly.
• Verify that all property tax payments are made on time.
• Partner with government entities to stay updated on real estate tax requirements.
• Review property tax reports for completeness and accuracy.
• Research tax-related inquiries to resolve outstanding questions.
• Follow up on tax issues to ensure proper resolution.

Skills on Resume:

• Tax Data Management (Hard Skills)
• Tax Preparation (Hard Skills)
• Property Tax Processing (Hard Skills)
• Payment Verification (Hard Skills)
• Government Liaison (Soft Skills)
• Tax Reporting Review (Hard Skills)
• Tax Research (Hard Skills)
• Issue Resolution (Soft Skills)

Job Summary: 

• Contact multiple Trusts to clarify anomalies identified in various data sources.
• Develop analytical reports for reviews and external reporting to stakeholders.
• Respond to information requests quickly and efficiently.
• Ensure a clear understanding of the requested information and required output.
• Benchmark comparative data on a national level.
• Produce ad hoc reports and analysis.
• Assist the Director of Clinical Services with programme development.
• Support the advancement of the Clinical Registries Programme through data and analysis.

Skills on Resume:

• Stakeholder Liaison (Soft Skills)
• Data Anomaly Review (Hard Skills)
• Analytical Reporting (Hard Skills)
• Information Handling (Soft Skills)
• Data Benchmarking (Hard Skills)
• Ad Hoc Analysis (Hard Skills)
• Program Support (Soft Skills)
• Registry Data Analysis (Hard Skills)

Job Summary: 

• Analyze data collected from internal and external sources.
• Prepare monthly reports based on identified trends and findings.
• Conduct cross-vendor rate comparisons to evaluate cost differences.
• Perform external market research to benchmark freight costs.
• Monitor the tracking system to identify system errors.
• Recommend system enhancements to improve operational accuracy.
• Support the operations team in reviewing vendor performance.
• Analyze freight processes to identify opportunities for improvement.
• Create KPI reports to measure operational effectiveness.
• Track overall departmental expenditure for freight movements in coordination with OPCA and Finance teams.

Skills on Resume:

• Data Analysis (Hard Skills)
• Trend Reporting (Hard Skills)
• Rate Comparison (Hard Skills)
• Market Research (Hard Skills)
• System Monitoring (Hard Skills)
• Process Improvement (Hard Skills)
• Vendor Performance (Hard Skills)
• KPI Reporting (Hard Skills)

Job Summary: 

• Analyze the purpose and goals to dismantle the basic analysis system and clarify analysis dimensions.
• Monitor daily indicators to understand user behavior and characteristics.
• Identify business pain points through continuous data observation.
• Discover potential risks that may affect business performance.
• Propose new optimization opportunities to support growth.
• Build data evaluation systems using large-scale datasets.
• Develop operational strategies based on comprehensive data insights.
• Benchmark competitive products to assess market positioning.
• Clarify competitive advantages and gaps through comparative analysis.
• Provide strategic recommendations for product and operational improvements.

Skills on Resume:

• Business Analysis (Hard Skills)
• User Behavior Analysis (Hard Skills)
• Risk Identification (Hard Skills)
• Growth Optimization (Hard Skills)
• Data Evaluation (Hard Skills)
• Strategic Planning (Hard Skills)
• Competitive Benchmarking (Hard Skills)
• Strategic Recommendations (Hard Skills)

Job Summary: 

• Work with government clients to analyze data sources related to federal government grants.
• Create data visualizations with Tableau.
• Analyze and provide insights from multiple data sources.
• Provide overall consulting services to government clients.
• Collect, compile, analyze, and interpret data independently and as part of a team.
• Develop tailored briefing materials and reports to communicate concepts, analysis, results, and recommendations to a diverse group of stakeholders.
• Present work to small audiences and team members to support client decisions.
• Maintain a positive working environment, growth mindset, and can-do attitude to foster productive and healthy team and client relationships.

Skills on Resume:

• Government Data Analysis (Hard Skills)
• Tableau Visualization (Hard Skills)
• Multi-Source Analysis (Hard Skills)
• Client Consulting (Soft Skills)
• Independent Research (Hard Skills)
• Briefing Development (Hard Skills)
• Stakeholder Presentation (Soft Skills)
• Positive Teamwork (Soft Skills)

Job Summary: 

• Develop a deep understanding of core data, structures, and insight opportunities.
• Design categories and subcategories to segment the data meaningfully.
• Ensure data quality meets the standards promised to clients.
• Introduce new products into the Universal Product database.
• Set up processes and workflows required for proper product integration.
• Extract data for analysis using standard business intelligence tools.
• Analyze extracted data to generate insights.
• Validate findings to ensure accuracy and reliability.

Skills on Resume:

• Data Architecture (Hard Skills)
• Data Segmentation (Hard Skills)
• Data Quality Control (Hard Skills)
• Product Integration (Hard Skills)
• Workflow Design (Hard Skills)
• Data Extraction (Hard Skills)
• Insight Generation (Hard Skills)
• Data Validation (Hard Skills)

Job Summary: 

• Provide consultation and process improvements for the availability, usability, integrity, and security of the VHA healthcare data.
• Work closely with VHA systems and files to obtain data through advanced computerized models.
• Evaluate and recommend solutions for records management in compliance with healthcare industry standards.
• Extrapolate data patterns through advanced algorithms.
• Evaluate current data needs and establish a reporting process.
• Develop graphs and charts and provide mathematical information to support projects.
• Maintain communication with stakeholders and present data collection information and analysis to support business models, predictions, and profitable future trends.
• Identify patterns in data and produce reports to provide alternative approaches.

Skills on Resume:

• Healthcare Data Consulting (Hard Skills)
• Data Security Management (Hard Skills)
• Advanced Data Modeling (Hard Skills)
• Records Compliance (Hard Skills)
• Reporting Frameworks (Hard Skills)
• Data Visualization (Hard Skills)
• Stakeholder Communication (Soft Skills)
• Pattern Analysis (Hard Skills)

Job Summary: 

• Work with the account team to define the scope and data requirements for Property Hub.
• Perform data loading jobs or manual data entry using Service Delivery Applications.
• Work closely with the Data Governance team on the consistent implementation of data standards in Property Hub.
• Promote JLL data standards adoption or ensure the mapping to data standards for exceptions.
• Maintain and enrich Property Hub deployment documentation and playbooks.
• Execute data management activities, including clean-up, enrichment, and standardization for client property data, including uploading the data via standard tools.
• Develop a deep understanding of account teams’ data quality problems and document the issue resolution.
• Monitor the data quality metrics for the account.
• Conduct data management trainings and Property Hub training to other DG team members and external stakeholders.
• Serve as property data steward on behalf of account teams during business-as-usual operations.
• Liaise with the global Data Governance Team, the Regional DG Team, and the DQ Team.

Skills on Resume:

• Data Requirements (Hard Skills)
• Data Loading (Hard Skills)
• Data Governance (Hard Skills)
• Data Standards (Hard Skills)
• Documentation Management (Hard Skills)
• Data Cleansing (Hard Skills)
• Data Quality Monitoring (Hard Skills)
• Stakeholder Liaison (Soft Skills)

Job Summary: 

• Analyze data governance policies from technical, business, and legal regulatory perspectives.
• Collaborate with business, operations, and data teams to support governance initiatives.
• Advise stakeholders on data governance requirements and best practices.
• Manage data hierarchies within the Enterprise Data Catalogue.
• Implement best practices to define key roles such as Data Owners, Data Authorities, and Data Consumers.
• Support efforts to assign responsibilities across the data governance framework.
• Participate in root cause analysis to resolve data issues.
• Identify trends across recurring data problems and propose solutions.
• Define and develop data life cycle controls for enterprise data.
• Identify and document data quality issues through data profiling and advanced analysis.

Skills on Resume:

• Data Governance Analysis (Hard Skills)
• Cross-Team Collaboration (Soft Skills)
• Governance Advisory (Soft Skills)
• Data Catalog Management (Hard Skills)
• Role Definition (Hard Skills)
• Root Cause Analysis (Hard Skills)
• Data Lifecycle Controls (Hard Skills)
• Data Quality Profiling (Hard Skills)

Job Summary: 

• Prepare modeling data inputs according to project requirements.
• Validate modeling outputs to ensure accuracy and reliability.
• Explain project results to clients in a clear and structured manner.
• Cooperate with clients across European countries.
• Collaborate with project managers to support cross-country project needs.
• Manage personal project execution effectively.
• Set and maintain deadlines throughout the project workflow.
• Communicate progress and updates to all project stakeholders.

Skills on Resume:

• Data Preparation (Hard Skills)
• Model Validation (Hard Skills)
• Client Reporting (Soft Skills)
• International Coordination (Soft Skills)
• Project Collaboration (Soft Skills)
• Project Execution (Soft Skills)
• Deadline Management (Soft Skills)
• Stakeholder Communication (Soft Skills)

Job Summary: 

• Conduct ambitious projects in the transformation of client businesses through effective collection, processing, and activation of data.
• Ensure quality and continuity of the full range of Data and Analytics services.
• Contribute actively to the expertise level and competencies of the Data and Analytics team.
• Collaborate closely with other divisions, including Media and Activation, Creation, Consultancy, Data Science, and Data Infrastructure, to provide comprehensive services to clients.
• Secure delivery on assigned projects.
• Evaluate continuously the value brought to client businesses by Data and Analytics services.
• Communicate work and achievements among the team and within the company.
• Work closely with experts from other divisions to build and maintain strong relationships with clients and understand their needs.
• Research and develop new technical approaches to address problems efficiently.
• Stay up-to-date on developments within the industry, share best practices, and contribute to institutional knowledge.
• Embody company values and inspire others to do the same.

Skills on Resume:

• Data Transformation (Hard Skills)
• Analytics Delivery (Hard Skills)
• Team Expertise (Soft Skills)
• Cross-Division Collaboration (Soft Skills)
• Project Delivery (Soft Skills)
• Value Assessment (Hard Skills)
• Client Relationship (Soft Skills)
• Technical Research (Hard Skills)

Job Summary: 

• Design data visualizations, reports, and presentations that clearly explain complex ideas to non-technical business partners.
• Maintain and enhance a unified ecosystem of dashboards and reports using R, Python, MongoDB, MS SQL, and other tools.
• Develop scalable data solutions that improve accessibility and insight generation across the organization.
• Work with teams in sales, operations, marketing, HR, and software development to understand business challenges.
• Identify and integrate relevant internal and external data sources to support analytical work.
• Translate stakeholder needs into practical analytical tasks and solutions.
• Perform ad hoc quantitative analyses that guide operational and strategic decisions.
• Build models that help interpret trends and support leadership-level discussions.
• Communicate findings in a clear, concise manner tailored to each stakeholder group.

Skills on Resume:

• Data Visualization (Hard Skills)
• Dashboard Development (Hard Skills)
• Scalable Data Solutions (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• Data Integration (Hard Skills)
• Requirements Translation (Soft Skills)
• Quantitative Analysis (Hard Skills)
• Analytical Modeling (Hard Skills)

Job Summary: 

• Support the senior data analyst in reviewing and interpreting surveys collected from the Department of Defense, the Department of Labor, and the VA.
• Assist in analyzing survey results to identify key patterns and actionable insights.
• Contribute to building a centralized data repository that integrates operational data with survey data.
• Help establish analytic capabilities within the repository to enable evidence-based decision-making.
• Support the creation and refinement of auditing reports related to TAP operations.
• Ensure that audit findings are accurately documented and aligned with operational requirements.
• Gather and organize information needed for weekly reporting deliverables.
• Provide timely updates that contribute to consistent and transparent reporting processes.

Skills on Resume:

• Survey Analysis (Hard Skills)
• Insight Identification (Hard Skills)
• Data Repository (Hard Skills)
• Analytics Enablement (Hard Skills)
• Audit Reporting (Hard Skills)
• Documentation Accuracy (Hard Skills)
• Report Coordination (Soft Skills)
• Status Updates (Soft Skills)

Job Summary: 

• Implement a strategic data management strategy to coordinate the integration, quality, availability, security, and maintenance of enterprise data across systems and the organization.
• Design and implement an enterprise data governance program, including systems, processes, and policies.
• Work with conceptual, logical, and physical data models and data modeling tools.
• Design and implement processes to ensure data reliability, efficiency, quality, and continuous improvement.
• Design and develop integrative views of data.
• Define technical standards to guide enterprise-wide access and use of data.
• Design, construct, install, test, and maintain highly scalable data management systems.
• Acquire and integrate new data with existing data sources.
• Leverage various programming languages and tools to integrate systems.
• Collaborate with infrastructure engineers, software developers, Enterprise Data Architects, system owners, and business users to understand the end-to-end lifecycle of data.

Skills on Resume:

• Data Strategy (Hard Skills)
• Data Governance (Hard Skills)
• Data Modeling (Hard Skills)
• Data Quality Management (Hard Skills)
• Data Integration (Hard Skills)
• Technical Standards (Hard Skills)
• Scalable Systems (Hard Skills)
• Cross-Team Collaboration (Soft Skills)

Job Summary: 

• Learn about location-driven marketing and understand how businesses use location signals to inform strategy and performance.
• Study the ways companies incorporate location insights into marketing campaigns and customer engagement.
• Work closely with marketing, growth strategy, and sales teams located in the USA, UK, and Germany.
• Coordinate with these teams to understand regional needs and align analytical work with broader business goals.
• Develop reusable tools and templates that support the rapid creation of data-driven narratives.
• Design analytical approaches based on defined requirements and clearly identified business questions.
• Identify relevant data sources and establish measurement metrics that support accurate insight generation.
• Present findings in a format that enables immediate use by stakeholders.
• Manage analytical pipeline while maintaining reusable documentation and analysis frameworks.

Skills on Resume:

• Location Marketing (Hard Skills)
• Marketing Analytics (Hard Skills)
• International Coordination (Soft Skills)
• Requirements Analysis (Hard Skills)
• Analytical Design (Hard Skills)
• Metric Definition (Hard Skills)
• Insight Presentation (Soft Skills)
• Analytics Documentation (Hard Skills)

Job Summary: 

• Develop Tableau dashboards, ETLs with embedded business logic, and reports that monitor KPIs across all Motivate systems.
• Create data workflows that integrate multiple sources to support consistent and reliable reporting.
• Extract, analyze, manipulate, and synthesize trends spanning bicycle fleet operations, station deployment, technology redistribution activities, and customer service functions.
• Interpret system-wide data to highlight operational patterns and improvement opportunities.
• Collaborate with corporate department managers in Business Operations, Finance Operations, People, and Business Development to support data-driven operational strategies.
• Align analytical outputs with departmental objectives to strengthen strategic execution.
• Deliver tactical insights that enable Motivate system leaders to optimize daily operations through automated business intelligence solutions.
• Implement analytical tools that streamline decision-making and enhance operational responsiveness.
• Provide guidance and training that improve understanding and effective use of analytics platforms.

Skills on Resume:

• Tableau Dashboards (Hard Skills)
• ETL Development (Hard Skills)
• Data Integration (Hard Skills)
• Operational Analytics (Hard Skills)
• Trend Analysis (Hard Skills)
• Strategic Alignment (Soft Skills)
• Automated BI (Hard Skills)
• Analytics Training (Soft Skills)

Job Summary: 

• Acquire data from primary or secondary data sources.
• Maintain databases and data collection systems that optimize statistical efficiency and quality.
• Filter and clean data by reviewing system reports and performance indicators to locate and correct code problems.
• Identify data quality issues and report them to the senior data analyst.
• Interpret data and analyze results using statistical techniques.
• Assist with managing master data within the reporting systems, including creation, updates, users, and user roles.
• Assist with managing the reporting environment, including data sources, security, and metadata.
• Assist with troubleshooting the reporting database environment and report issues to the senior data analyst.
• Provide technical expertise on core data management concepts.

Skills on Resume:

• Data Acquisition (Hard Skills)
• Database Management (Hard Skills)
• Data Cleansing (Hard Skills)
• Data Quality Control (Hard Skills)
• Statistical Analysis (Hard Skills)
• Master Data Management (Hard Skills)
• Reporting Environment (Hard Skills)
• Technical Data Support (Hard Skills)

Job Summary: 

• Gather, prepare, build, and analyze reports and provide these reports to operations, customer service, sales, and finance to support the achievement of monthly revenue targets.
• Participate in the development and maintenance of the data warehouse and reporting enhancements, including the creation of new reporting templates and analytical reports.
• Work with internal and external customers to develop and maintain new standardized reports, including the creation of reporting templates and analytical reports.
• Check data consistency, structure, and format.
• Manage report templates and issued reports.
• Manage and own the reporting project management process to identify needs and document requirements.
• Revise and create automated templates.
• Address report and information requests while clearly communicating commitments, issues, completion dates, and status with the requester and with management.
• Learn and become proficient in the tools used, including MK Order System, XA, SharePoint, and other web-based tools.
• Prepare and analyze data for later use in Oracle.
• Participate in internal collaborative projects.

Skills on Resume:

• Reporting Analysis (Hard Skills)
• Data Warehousing (Hard Skills)
• Standardized Reporting (Hard Skills)
• Data Consistency (Hard Skills)
• Report Management (Hard Skills)
• Reporting Project Management (Soft Skills)
• Report Automation (Hard Skills)
• Stakeholder Communication (Soft Skills)

Job Summary: 

• Participate in innovative projects focused on Supply Chain activities and process advancements.
• Contribute to maintaining statistical processes that support operations across multiple European markets.
• Develop statistical models and conduct sales analysis using SAS to identify trends and performance patterns.
• Review analytical outputs to ensure accuracy and relevance for various business functions.
• Carry out independent work centered on data exploration and detailed analytical assessment.
• Investigate datasets to uncover insights that support operational and strategic decisions.
• Support ongoing improvement efforts within the Analytics team by refining methods and analytical workflows.
• Promote enhancements that strengthen the team’s overall analytical capability.

Skills on Resume:

• Supply Chain Analytics (Hard Skills)
• Statistical Modeling (Hard Skills)
• SAS Analysis (Hard Skills)
• Data Exploration (Hard Skills)
• Insight Generation (Hard Skills)
• Independent Analysis (Soft Skills)
• Process Improvement (Hard Skills)
• Analytics Optimization (Hard Skills)

Job Summary: 

• Bring Public Records product awareness and education to client-facing teams.
• Ensure compliance standards are adhered to and executed accurately.
• Collaborate cross-functionally with teams in Compliance, Client-facing teams, Global Services, Products, and Technology to find solutions for clients.
• Work with clients to ensure compliance and ordering requirements.
• Monitor and track order volumes, sales, error rates, and other relevant metrics.
• Manage the salting process to ensure compliance with DBS and DS standards.
• Lead training, conduct walk-throughs, and solution reviews through presentations.
• Identify and mitigate significant risks, unknowns, and hindrances to implementation plans.
• Address customer issues and concerns in a timely fashion to ensure customer satisfaction.
• Manage internal risk records to track and prevent suspected fraud.
• Audit criminal data submissions and conduct spot checking for accuracy.
• Provide feedback on user or process errors to operational and QA teams.
• Work and communicate across groups and articulate needs for compliance and risk management.
• Perform market research by identifying customer needs, collecting competitors' information, studying industry and market trends, providing market analysis, and identifying market opportunities.

Skills on Resume:

• Compliance Management (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• Client Compliance Support (Soft Skills)
• Metrics Monitoring (Hard Skills)
• Risk Management (Hard Skills)
• Training Delivery (Soft Skills)
• Data Auditing (Hard Skills)
• Market Research (Hard Skills)

Job Summary: 

• Support OpenData Delivery projects from conception to completion within scope and on time.
• Assist with the management of customer relationships and provide secondary support to the customer during project implementation, post-implementation support, and maintenance while acting as a subject matter expert of the Veeva OpenData Delivery offering.
• Design, develop, and test CRM and MDM integration solutions and ensure successful deployment to support project success.
• Implement automated data collection and validation processes.
• Analyse and perform data matching, cleansing, validation, and load incoming customer data by using or developing ETL processes for automated workflows.
• Create project documentation and develop functional specifications for internal and external stakeholders.
• Create project status reports and provide updates to key stakeholders.
• Provide day-to-day Veeva OpenData support to both internal and external customers.

Skills on Resume:

• Project Delivery (Soft Skills)
• Customer Support (Soft Skills)
• CRM Integration (Hard Skills)
• MDM Integration (Hard Skills)
• Data Automation (Hard Skills)
• ETL Processing (Hard Skills)
• Project Documentation (Hard Skills)
• Stakeholder Reporting (Soft Skills)

Job Summary: 

• Work closely with Vendor Marketing Managers, Campaign Planner, Marketing Automation Lead, and the Operations team.
• Understand systems and data points for each group while providing recommendations around opportunities to collaborate on consumption, application, and tracking of data.
• Understand how marketing data is structured by both traditional marketing segments and persona-driven characteristics to optimise personalized targeting capabilities for specific European programmes and campaigns.
• Develop a solid understanding of digital marketing and modern marketing techniques while managing and reporting on programme and campaign impact, including sources from countries across multiple marketing channels.
• Own the Marketing Services data monetisation approach and Marketing Services offering.
• Collaborate with cross-country and European vendor marketing teams to encourage and maintain consistent standards of execution across the region in relation to data and reporting.
• Work with management to prioritise business and information needs based on thorough knowledge and interpretation of the data.
• Locate and define new process improvement opportunities.

Skills on Resume:

• Marketing Data Analysis (Hard Skills)
• Cross-Team Collaboration (Soft Skills)
• Data Structuring (Hard Skills)
• Campaign Reporting (Hard Skills)
• Digital Marketing (Hard Skills)
• Data Monetization (Hard Skills)
• Standards Alignment (Soft Skills)
• Process Improvement (Hard Skills)

Job Summary: 

• Gather a wide variety of data types from primary and secondary sources through diverse channels using a combination of methods researched and employed by the Data Analytics Management team.
• Assist with developing, maintaining, and enforcing streamlined and efficient processes for project lifecycles from collection through transformation of data and support goals for timelines, training, resources, and budgets in support of finalization of client deliverables.
• Support the collection, documentation, vetting, and onboarding of data and provide input to the Data Analytics Engineer team on database development and setup while assisting with validating the population of data into appropriate analytical tools.
• Assist in defining, developing, and communicating data analytics solutions to support the customer.
• Correspond with key stakeholder personnel through regular consultations with clients to elicit requirements and provide regular status updates.
• Perform data analysis and modeling to understand and identify data relationships, trends, classifications, and predictions.
• Build experience in all available analysis and visualization software and propose reporting solutions that best present the information to the supervisor.
• Provide regular status updates to the Data Analytics Solutions Analyst Senior regarding assigned tasks.
• Ensure successful completion of work, timeliness of deliverables, and quality control.

Skills on Resume:

• Data Collection (Hard Skills)
• Analytics Process Support (Hard Skills)
• Data Onboarding (Hard Skills)
• Analytics Solutions (Hard Skills)
• Stakeholder Communication (Soft Skills)
• Data Modeling (Hard Skills)
• Data Visualization (Hard Skills)
• Delivery Management (Soft Skills)

Job Summary: 

• Compile regular reports to help editorial stakeholders monitor relevant KPIs using key data sources, specializing in social media, SEO, and video analytics.
• Contribute to standard daily, weekly, and monthly reports on website performance as well as post-event analysis for major traffic-driving events.
• Support the content planning and assessment process by providing editorial insight.
• Monitor competitors using a suite of social and SEO listening tools.
• Compile appropriate benchmarks to monitor performance for a variety of metrics on and off-platform.
• Ensure analysis and actionable insights for the newsroom fit with business objectives, and proactively identify publishing trends, areas of opportunity, efficiencies, and support for the changing nature of digital content publishing.
• Develop KPI structures and set up dashboards.
• Arrange regular 1-to-1 training sessions for editorial and commercial stakeholders.
• Manage and maintain user access for the suite of analytics tools used across the business.
• Handle all data securely and responsibly, observing the Data Protection Act and Company Code of Conduct.

Skills on Resume:

• Digital Analytics (Hard Skills)
• KPI Reporting (Hard Skills)
• Editorial Insights (Hard Skills)
• Competitor Monitoring (Hard Skills)
• Performance Benchmarking (Hard Skills)
• Dashboard Development (Hard Skills)
• Stakeholder Training (Soft Skills)
• Data Compliance (Hard Skills)