Job Summary:

• Adapts differing techniques and methods to deal with variations in work conditions and operations to solve complex problems. 
• Leads the development and implementation of improvements and/or solutions to work processes and tools.
• Initiates actions and leads or coaches employees during a project or trains new employees within functional disciplines.
• Handles a wide variety of non-routine and inquiries where the solution is not immediately apparent. 
• Require developing solutions for complex and diverse issues that may be interrelated, requiring significant interpretation and the use of strong analytical skills. 
• Work tasks encompass concepts within the Advantage Center which may include more than one department/location.
• Manages the proposal and implementation of process solutions.
• Provides technical support and guidance in all aspects of design and development of automations.
• Studies existing systems to evaluate effectiveness.
• Oversee non-routine and difficult work conducted by colleagues.
• Provides training on automation and analytics and stays abreast of the latest developments in the assigned area of responsibility.
• Troubleshoots the technical problems to resolve user issues,
• Leads detailed data analysis processes from a user standpoint.
• Considers the impact of any changes on current systems and develops risk analysis.
• Writes project plans and leads projects, linking project steps to business strategies.

Skills on Resume: 

• Problem-Solving and Adaptability (Soft Skills)
• Leadership and Process Improvement (Soft Skills)
• Coaching and Training (Soft Skills)
• Analytical Thinking (Hard Skills)
• Interdisciplinary Knowledge (Hard Skills)
• Project Management (Hard Skills)
• Technical Expertise (Hard Skills)
• Risk Management and Change Analysis (Hard Skills)

Job Summary:

• Learn and implement tracking, analytics, and tracking solutions for clients using tag management platforms (GTM, Tealium, Adobe DTM or Launch).
• Manage an assigned client work queue and develop custom solutions to measure initiatives aligned with client's Key Business Requirements (KBRs).
• Handle quality assurance (q/a), testing, data validation, and data cleanup for developed solutions.
• Collaborate with other analytics engineers to develop new departmental capabilities and tools.
• Support, document, and extend clients' tagging infrastructure/environment.
• Identify and resolve data quality issues across multiple data sources.
• Create scripts for data extraction from various sources, including DOM, data objects, dataLayers, and JavaScript variables.
• Work closely with Digital Intelligence Account Managers to ensure solutions meet client expectations while maintaining data integrity.
• Collaborate with internal Wpromote teams to translate business requirements into functional solutions.
• Learn to communicate complex technical requirements effectively to both technical and non-technical client teams.

Skills on Resume: 

• Proficiency in Tag Management Platforms (Hard Skills)
• Custom Solution Development (Hard Skills)
• Quality Assurance and Testing (Hard Skills)
• Collaboration (Soft Skills)
• Tagging Infrastructure Management (Hard Skills)
• Data Quality Management (Hard Skills)
• Scripting for Data Extraction (Hard Skills)
• Client Communication (Soft Skills)

Job Summary:

• Developing analytics and reporting capabilities to facilitate the conversion of data into information, information into insight, and insight into business decisions.
• Design and develop data models using T-SQL, Stored Procedures and functions.
• Design and develop reports and dashboards using SSRS, Power BI, Excel and other reporting technologies.
• Acquiring data from primary or secondary data sources to build into the Data Warehouse.
• Minimise the duplication of data and logic.
• Collaborating with business analysts and internal stakeholders to gather and document business requirements.
• Leveraging best practice methodology to support the consolidation of data sources and streamlining the firm's reporting architecture.
• Support the team's efforts in making improvements to data quality, accuracy, completeness, consistency and reliability.
• Identify, test and fix bugs / issues.
• Provide advice and analysis to senior colleagues (both lawyer and business services) with respect to the firm's reporting capability.

Skills on Resume: 

• Analytics and Reporting (Hard Skills)
• T-SQL Development (Hard Skills)
• Reporting Technologies (Hard Skills)
• Data Acquisition (Hard Skills)
• Data Duplication Management (Hard Skills)
• Business Requirement Gathering (Soft Skills)
• Best Practice Methodology (Hard Skills)
• Data Quality Improvement (Hard Skills)

Job Summary:

• Own and improve assets on the data lake, ensuring continuous enhancement.
• Support project transitions to a steady BAU (Business as Usual) state and maintain service quality.
• Design and develop the operational support framework for the Data Lake.
• Provide technical and business process advice for solutions used across the business.
• Offer IT support for recurring and period-end tasks related to the Data Lake, Tableau, and other reporting platforms.
• Ensure monthly maintenance and reporting system preparation are executed promptly.
• Plan, prepare, and execute technical changes in environments with a focus on minimizing risk and achieving reliability and performance.
• Balance technology workloads and troubleshoot software logistics.
• Perform daily/weekly/monthly/annual operational tasks, including setup, configuration, troubleshooting, and problem resolution.
• Monitor systems actively for tuning, security, and issue detection.
• Maintain technical documentation, including security frameworks.
• Manage users, authorizations, profiles, and provide global support for normal business operations, handling ad-hoc queries and issue resolution.

Skills on Resume: 

• Data Lake Management (Hard Skills)
• Project Management (Soft Skills)
• Operational Framework Design (Hard Skills)
• Technical and Business Advisory (Soft Skills)
• IT Support (Hard Skills)
• Technical Change Management (Soft Skills)
• Troubleshooting and Issue Resolution (Hard Skills)
• System Monitoring and Maintenance (Hard Skills)

Job Summary:

• Implementing complex digital analytics setups and other tagging/data collection for websites and apps.
• Primarily using Google Tag Manager and the broader Google stack (Google Analytics / Google Marketing Platform / Google Cloud Platform) for analytics setups and implementing a wide range of other marketing tags.
• Working with others to plan, implement and create technical specifications, liaise with clients and be responsible for tasks.
• Architecting, designing and documenting technical solutions for data collection into Google Analytics by writing dataLayer requirements and using custom javascript in Google Tag Manager.
• Identifying and delivering optimisations within existing setups to deliver the highest possible efficiency and data quality.
• Working with a friendly, top-level team of experts to deliver solutions to a wonderful base of well known clients 
• Manage the planning, design, and development of data marts, data warehouse, dashboards, and reports to align with business needs.
• Define business requirements for data warehousing and analytics.
• Operate ETL tools to extract, transform, and load data from various sources.
• Develop reporting and visualization solutions using data modeling, data transfer, and statistical modeling tools.
• Collaborate with internal business users to understand their needs and opportunities.
• Occasionally work with consulting resources to develop new or enhanced functionality within the systems.

Skills on Resume: 

• Proficiency in Google Tag Manager and the broader Google stack (Hard Skills)
• Technical Documentation (Hard Skills)
• Optimization Skills (Hard Skills)
• Project Management (Hard Skills)
• Business Analysis (Hard Skills)
• ETL Tools (Hard Skills)
• Data Modeling and Visualization (Hard Skills)
• Collaboration and Communication (Soft Skills)

Job Summary:

• Define and translate business problems/requirements into analytics requirements/solutions – in line with Product Manager relationship with business and taking on board their thinking
• Develop, implement and enhance analytic insights and products using a wide range of analytics tools and some data engineering
• Conceptualise, develop and manage the delivery and optimisation of analytics solutions
• ensure solution meets business needs
• Monitor statistical scoring, business intelligence, data quality and analytical product/solution development
• Identify, analyse and interpret trends or patterns in complex data sets and communicates conclusions to the business
• Act as lead for development segment of larger or complex projects. 
• Takes primary accountability for day-to-day line management and capability development of developers on project team and ensures accuracy and robustness of analytics products
• Undertake people management accountabilities for direct reports outside of their project, e.g. undertake annual performance review, gathering insight from relevant project teams, coordinate performance improvement plan where appropriate, etc.
• Tracking and tagging with Google Tag Manager.
• Requirements-gathering – with internal team and client stakeholders.
• Creating data layer specifications and implementation guidelines for client developer teams.
• Participate in daily stand-ups and weekly planning sessions.
• Accountability for integrity in data collection and responsible for testing and quality assurance of deliverables.

Skills on Resume: 

• Business Problem Translation (Soft Skill)
• Analytics Development (Hard Skill)
• Solution Conceptualization and Management (Soft Skill)
• Business Needs Alignment (Soft Skill)
• Data Monitoring and Analysis (Hard Skill)
• Project Leadership (Soft Skill)
• Team Management and Development (Soft Skill)
• Performance Management (Soft Skill)

Job Summary:

• Join Vanderlande's Data and Analytics department, which consists of Data Management and Analytics teams, reporting to the CFO.
• Collaborate with leaders from various departments within Vanderlande, including Sales, HR, and Supply, through the Portfolio Management Board.
• Focus on leveraging data as a valuable asset to improve internal processes and deliver customer solutions.
• Be part of a DevOps team following the Data Mesh methodology, developing Data Products in collaboration with the business.
• Work closely with the Product Owner Analytics and Data Services team to drive digitalization efforts at Vanderlande.
• Embrace a proactive and entrepreneurial spirit within the team.
• Contribute to Vanderlande's adoption of the Data Mesh methodology and Azure cloud technology during a significant company-wide transformation.
• Play a role in enhancing a company that provides baggage handling systems for airports worldwide and automates sorting centers for leading parcel and e-commerce businesses.
• Configure production and non-production reporting and analytic environments, manage updates, and provide ongoing support.
• Develop end-user training materials and conduct training sessions .
• Ensure proper software platform configuration and keep them up-to-date with updates and patches.
• Provide on-going production support for reporting and analytics.
• May lead a team of reporting and analytic development professionals

Skills on Resume: 

• Data Management and Analytics (Hard Skills)
• Collaboration and Communication (Soft Skills)
• DevOps and Data Mesh Methodology (Hard Skills)
• Digitalization and Cloud Technology (Hard Skills)
• Proactivity and Entrepreneurial Spirit (Soft Skills)
• Configuration Management and Support (Hard Skills)
• Training and Documentation (Soft Skills)
• Leadership and Team Management (Soft Skills)

Job Summary:

• Join a growing Challenger Bank during a significant period of investment in people and technology.
• Report to the Head of Data in a newly established Data function with substantial investment.
• Contribute to establishing a best-in-class Centre of Excellence, providing valuable information and analytical expertise to business divisions and stakeholders.
• Enable power users to uncover new opportunities through insights.
• Participate in shaping how data is utilized across the organization.
• Be part of a promising and emerging player in the digital banking market.
• Enjoy a role that offers autonomy and significant potential for impact.
• Work towards delivering relevant, reliable data-driven solutions.
• Analyze and visualize data for Healthcare (Pharma & Consumer Health) customers with analytic tools or statistical methods.
• Deliver specific projects with BI tools (Microstrategy, Spotfire, Power BI, Tableau, etc.)
• Review analytical outputs and provide explanations to clients

Skills on Resume: 

• Data Analysis and Visualization (Hard Skills)
• Stakeholder Engagement and Communication (Soft Skills)
• Establishment of Centre of Excellence (Hard Skills)
• Business Intelligence Tools Proficiency (Hard Skills)
• Autonomy and Initiative (Soft Skills)
• Strategic Thinking and Planning (Soft Skills)
• Industry Knowledge in Healthcare (Pharma & Consumer Health) (Hard Skills)
• Project Management (Hard Skills)

Job Summary:

• Design, develop, test, and implement complex profiling reports, analytics, and data visualizations using BI tools for the UCOP IRAP data infrastructure.
• Identify data sources, create queries, views, and analytic packages, and build reports, dashboards, and analytics applications.
• Apply advanced software concepts to modify, debug, and deploy complex systems and analytics with institutional impact.
• Lead analysis of existing software and security practices to devise new solutions.
• Direct migration of analytics between platforms, manage code conversion, documentation, and testing processes.
• Establish and manage reporting and analytics standards, including source code control and configuration management.
• Serve as a technical lead for reporting and analytic development across multiple projects.
• Monitor, investigate, and troubleshoot error frameworks and data integrity issues across multiple data source systems.
• Lead data quality assessment efforts and develop products to evaluate data health against standards.
• Enhance and tune existing reports and analytic solutions for optimal performance.

Skills on Resume: 

• Proficiency in Business Intelligence (BI) Tools (Hard Skills)
• SQL Query Development (Hard Skills)
• Software Development and Modification (Hard Skills)
• Problem Solving and Solution Design (Soft Skills)
• Project Management and Leadership (Soft Skills)
• Source Code Control and Configuration Management (Hard Skills)
• Technical Leadership in Reporting and Analytics (Soft Skills)
• Data Quality Assessment and Improvement (Hard Skills)

Job Summary:

• Work closely with Project Managers, Scrum Masters, Business Partners, Data Scientists and business expert users around the world to understand analytic needs and deliver solutions to meet those requirements according to negotiated timeframes and budgets.
• Working with global Data and Analytics professionals, evaluate and integrate multiple datasets across functions and geographic areas.
• Provide detailed analysis for systems that will move through the Design, Build, Test phase of Advanced Analytics.
• Follow continuous improvement and standardization of the underlying datasets for all BI, Data and Analytic domains.
• Work with teams to build repeatable datasets using internal and external data across multiple functions.
• Develop and support existing QlikView, QlikSense and nPrint applications
• Facilitate the migration of Qlik applications to strategic tools, including Tableau
• Assist in Data Engineering tasks using Java, Python (PySpark, PyFlink) and SQL
• Work in partnership with the business to define detailed Analytics requirements
• Design and implement end-to-end analytics solutions from conception, data acquisition, modelling, data integration and Analytics output:
• To liaise with other development teams as necessary to implement cross-team projects
• Be alert to Conduct Risk issues, specifically the risk of harm to client interests, market integrity and/or competition in financial markets due to inappropriate practices or behaviours across the firm

Skills on Resume: 

• Collaboration and Stakeholder Management (Soft Skills)
• Data Integration and Evaluation (Hard Skills)
• Advanced Analytics System Analysis (Hard Skills)
• Continuous Improvement and Standardization (Soft Skills)
• Dataset Development and Management (Hard Skills)
• Business Intelligence Application Development (Hard Skills)
• Tool Migration and Integration (Hard Skills)
• Data Engineering Proficiency (Hard Skills)

Job Summary:

• Define and develop BI dashboards including business metrics and performance indicators that drive action and insights
• Prepare updates and presentations to key stakeholders, Senior Leadership and Executive management on the delivery of the data and analytics roadmap
• Oversee the development of reporting systems that deliver accessible information for decision-making
• Interpretation and translation of business needs into practical application
• Strong organizational, critical thinking, and communication skills
• Utilization of visualization tools to properly convey data needs
• Refactor and consolidate analytics-related functionality.
• Design robust API’s around common pieces of functionality, refactoring the code to support these new APIs, retire legacy code, and ensure that structural problems are also addressed during the refactoring.
• Investigate and fix stability problems, determine what the fundamental solution should be, and prioritize accordingly.
• Identify and address gaps in test coverage.
• Interface with vendor systems, expose analytics to Excel and Risk systems.
• Proposes the design and implementation of strategic analytics API’s.
• Analyse and fix performance and stability problems in the internal analytics layers.

Skills on Resume: 

• Business Intelligence Dashboard Development (Hard Skills)
• Stakeholder Communication and Presentation (Soft Skills)
• Reporting System Development (Hard Skills)
• Business Needs Analysis and Translation (Soft Skills)
• Organizational Skills (Soft Skills)
• Critical Thinking (Soft Skills)
• Visualization Tools Proficiency (Hard Skills)
• API Design and Development (Hard Skills)

Job Summary:

• Develop and deliver analytical assets (following the analytics software development lifecycle, with Microsoft BI stack)
• Design, deliver, and maintain ingestion, transformation, modelling, and reporting processes using SQL, SSIS, SSAS, SSRS
• Contribute to the Analytics Strategy by undertaking activities related to information cataloguing and delivery, data warehousing, master data management and data quality
• Support the Enterprise Reporting Framework along with other customer focused reporting toolsets.
• Enterprise data modelling and design
• Use a scripting language (e.g., SQL, Python, R) to find, extract, manipulate, and clean data for use in building visualizations, reports, and analyses
• Build and publish interactive visualizations in Tableau that can be used by non-technical business users in a self-service manner to answer questions, identify trends, and download clean datasets for further use
• Build self-service data sources for Tableau to allow business users to highlight trends, answer detailed questions and provide insights without an analytics dependency
• Write and present clear summaries of analyses with engaging visualizations of data and specific, actionable recommendations to business stakeholders
• Explain the output of complex data manipulation and statistical tests to business stakeholders
• Identify and analyze patterns and trends in data to make specific recommendations on business actions

Skills on Resume: 

• Analytical Asset Development (Hard Skills)
• Microsoft BI Stack Proficiency (Hard Skills)
• Data Ingestion, Transformation, and Reporting (Hard Skills)
• Analytics Strategy Contribution (Hard Skills)
• Enterprise Data Modelling and Design (Hard Skills)
• Scripting Language Proficiency (Hard Skills)
• Tableau Visualization Development (Hard Skills)
• Data Analysis and Interpretation (Hard Skills)

Job Summary:

• Build out a new platform for analytics in KDB+/Q.
• Encompass analytics development, infrastructure selection and optimization, core framework development as well as assisting quants/researchers with their development on the platform.
• Performing scheduled assets management analysis and ensuring that analytic systems are utilizing coherent information and that all operational procedures and risk controls are set.
• Enhancing the asset modeling tools and support raw data massaging.
• Reviewing/releasing PnL and risk metrics to portfolio management and CIO office.
• Coordinating various processes and guidelines including model testing/maintenance/ enhancement.
• Gain in depth knowledge of RMBS and/or CMBS Analytics systems
• Take ownership of assigned tasks with a get things done attitude
• Design and develop enhancements into Cash Flow libraries
• Interact with business stakeholders and provide production support to the Analytics systems
• ETL design and development data loading and data validation from multiple external sources
• Monthly production control and reporting

Skills on Resume: 

• KDB+/Q Platform Development (Hard Skills)
• Analytics Development (Hard Skills)
• Infrastructure Optimization (Hard Skills)
• Core Framework Development (Hard Skills)
• Quantitative Analysis Support (Hard Skills)
• Operational Procedures Management (Soft Skills)
• Risk Control Implementation (Hard Skills)
• Business Stakeholder Interaction (Soft Skills)

Job Summary:

• Develop processes to track user actions that directly impact ROI
• Support with the technical setup of digital marketing campaigns
• Develop tracking solutions using tools and ad sources such as Google Analytics, Google Tag Manager, Google Ads, Facebook, etc.)
• Work closely with client engineering teams to audit tracking implementations, troubleshoot tracking issues, and define quality assurance tests ensuring business requirements are met while capturing accurate data
• Enhance tracking capabilities while collaborating with internal digital marketing teams
• Build and maintain a repository of high-quality technical deliverables, methodologies, and business development documents
• Assess and recommend the technical feasibility for potential new tools
• Document and evangelize best practices and governance policies
• Collaborate with the Data Science team to create dashboards and reports for marketing campaigns

Skills on Resume: 

• ROI Tracking Process Development (Hard Skills)
• Digital Marketing Campaign Setup (Hard Skills)
• Tracking Solution Development (Hard Skills)
• Collaboration with Client Engineering Teams (Soft Skills)
• Tracking Issue Troubleshooting (Hard Skills)
• Technical Documentation Management (Hard Skills)
• Technical Feasibility Assessment (Hard Skills)
• Best Practices Documentation and Evangelization (Soft Skills)

Job Summary:

• Design and write systems of programs in R, Stata, or Python to extract, transform, and wrangle data for a variety of analyses
• Provide oversight and guidance to other data analytics developers on projects
• Design database architecture and use SQL and NoSQL to manage large structured and unstructured data sources
• Perform statistical analyses and prepare tables, graphs, and visualizations
• Interpret data outputs and findings to researchers
• Lead and assist in the development of reporting specifications and user manuals
• Lead and contribute to the definition, specification, and documentation of data and security requirements
• Lead data management and analysis of federal, state, and local information systems.
• Perform software quality assurance and testing, including the development of testing tools using a variety of technologies including Microsoft Office, SQL, Python, R, and SAS.

Skills on Resume: 

• Programming in R, Stata, or Python for Data Extraction and Transformation (Hard Skills)
• Team Leadership and Oversight (Soft Skills)
• Database Architecture Design (Hard Skills)
• SQL and NoSQL Database Management (Hard Skills)
• Statistical Analysis (Hard Skills)
• Data Visualization (Hard Skills)
• Requirements Definition and Documentation (Soft Skills)
• Software Quality Assurance and Testing (Hard Skills)

Job Summary:

• Define and develop BI dashboards including business metrics and performance indicators that drive action and insights
• Prepare updates and presentations to key stakeholders, Senior Leadership and Executive management on the delivery of the data and analytics roadmap
• Oversee the development of reporting systems that deliver accessible information for decision-making
• Interpretation and translation of business needs into practical application
• Strong organizational, critical thinking, and communication skills
• Utilization of visualization tools to properly convey data needs
• Engage with stakeholders in various areas of the business to determine requirements of applications.
• Understand and translate the customer's requirements into product requirements and manage product roadmap, determine feature and enhancement values.
• Develop partnership with user base for needs and communicate deliverables.
• Identify opportunities to expand the customer base by anticipating needs of other business groups and developing new features.
• Support, improve, analyze, and monitor the performance of existing products and features.

Skills on Resume: 

• Business Intelligence Dashboard Development (Hard Skills)
• Stakeholder Communication and Presentation (Soft Skills)
• Reporting System Oversight (Hard Skills)
• Business Needs Analysis and Translation (Soft Skills)
• Organizational Skills (Soft Skills)
• Critical Thinking (Soft Skills)
• Requirement Gathering and Translation (Soft Skills)
• Product Management and Roadmapping (Soft Skills)

Job Summary:

• Familiarity with Genesys Pure Engage Cloud Azure or on premise experience
• Knowledge of Genesys IVR development environments
• Working knowledge of contact centre software and hardware, inclusive of security capabilities
• Genesys Pure Engage Designer Certification is considered an asset
• Experience delivering solutions successfully to production using IVRs, Speech Recognition technologies or AI NLP technologies is considered an asset
• Maintain policies and procedures of the team / department.
• Develop and maintain working relationships with internal Health Plan departments, and external contacts as appropriate.
• Create and maintain internal health economics data for internal statistical analysis and modeling and be able to explain these activities to a sophisticated analytic audience as well as translate these activities into general terms for non-technical audiences and senior management.
• Meet deadlines and turnaround times set by managers and department director (these deadlines and turnaround times will, at times, require the employee to work until the project is completed, meaning extended daily work hours, extended work weeks, or both).
• Identify and summarize basic characteristics in data and trends in data patterns related to health economic metrics and other indicators.
• Adhere to internal Division of Health Economics work processes.
• Construct business cases based on analyses of data and data needs.

Skills on Resume: 

• Genesys Pure Engage Cloud Azure or On-Premise Familiarity (Hard Skill)
• Genesys IVR Development Knowledge (Hard Skill)
• Contact Center Software and Hardware Understanding (Hard Skill)
• Genesys Pure Engage Designer Certification (Asset)
• Solution Delivery with IVRs, Speech Recognition, or AI NLP (Asset)
• Policy and Procedure Management (Soft Skill)
• Interdepartmental Relationship Building (Soft Skill)
• Data Analysis and Presentation (Hard Skill)

Job Summary:

• Prepare and distribute work assignments 
• Report staff productivity on a weekly, monthly and quarterly basis.
• Implement and monitor effectiveness of these solutions.
• Identify departmental needs and report to management as appropriate.
• Coordinate the orientation of new staff members.
• Investigate variances and errors in data and derive solutions.
• Oversee and provide guidance to peers and serve as reference point for questions on day-to-day basis.
• Execute analytic plans for health economic data preparation and modification, program evaluation, feasibility studies, and research studies.
• Manage routine and special projects which may require oversight of other departments' work and coordination of a wide variety of functions.

Skills on Resume: 

• Task Assignment and Distribution (Soft Skill)
• Productivity Reporting (Soft Skill)
• Solution Implementation and Monitoring (Soft Skill)
• Needs Identification and Reporting (Soft Skill)
• New Staff Orientation Coordination (Soft Skill)
• Data Analysis and Problem Solving (Hard Skill)
• Peer Guidance and Support (Soft Skill)
• Project Management (Soft Skill)