Job Summary:

• Reconcile, provide requirements to create available data into centralized data asset for analysis and analytics (Operation, Agronomic Data, etc.)
• Benchmark performance with peers (Productivity, Efficiency, Cost etc.)
• Developing overarching insights and inferences around operational efficiency
• External benchmarking around customer and identifying transformational opportunities in the intersection of Supply chain, Operations and Agronomics
• Hands on with advanced analytics skills and deliver strategic initiatives through Analytics products as prioritized by the Tropical Oils business stakeholders
• Translate business problems into actionable data driven solutions
• Perform data and statistical analysis to identify new data-driven insights and value opportunities
• Develop Reporting and Business Dashboards to improve understanding and aid in making smarter business decisions
• Provide subject matter expertise to support across Tropical Oils data visibility and consumption capabilities
• Work with minimal direction, using additional research and interpretation to identify issues or problems
• Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff
• Ensure these projects meet every step of full project lifecycle including documentation.

Skills on Resume:

• Data Reconciliation (Hard Skills)
• Benchmarking (Hard Skills)
• External Benchmarking (Hard Skills)
• Advanced Analytics (Hard Skills)
• Problem Translation (Hard Skills)
• Data and Statistical Analysis (Hard Skills)
• Autonomy and Independence (Soft Skills)
• Problem Resolution (Soft Skills)

Job Summary:

• Technical implementation of tools including Google Analytics, Facebook Pixel, and Conversion Tracking technology using Google Tag Manager and on-page methods
• Ensure the best data quality for clients and recommend improvements
• Create measurement and implementation plans and work with clients to implement them
• Proactively identify new opportunities for clients to use data or measurement solutions to drive value
• Data analysis, visualisation, and dashboarding.
• Ensure that clients' data solutions meet Precis standards for privacy
• Undergraduate degree or equivalent practical experience
• Experience working with and implementing Google Analytics and Google Tag Manager
• Comfortable working with the basics of Javascript
• Knowledge of database languages (e.g. SQL) and scripting languages (e.g. Python)
• Facilitate the extraction, clean-up, manipulation and aggregation of raw digital analytics data (e.g. from Google Analytics) so that it can be made available to other areas of the business.

Skills on Resume:

• Analytics Tool Implementation (Hard Skills)
• Data Quality Assurance (Hard Skills)
• Measurement Planning (Hard Skills)
• Opportunity Identification (Soft Skills)
• Data Analysis and Visualization (Hard Skills)
• Privacy Compliance (Soft Skills)
• Education or Equivalent Experience (Hard Skills)
• Technical Proficiency (Hard Skills)

Job Summary:

• Maintain, improve the existing digital analytics measurement framework on digital properties (website and mobile apps)
• Implement new tracking requests for website and/or mobile apps through Google Tag Manager and Google Analytics 4
• Work with native app developers to collect analytics data
• Interact with development teams to provide implementation requirements for Google Tag Manager, Google Analytics 360, Google Analytics 4
• Support the migration of existing Google Analytics properties to Google Analytics 4
• Test and provide quality assurance feedback to the various development teams
• Deploy any third party tagging and integrate data from Google Marketing Platform, Facebook, Google Ads or any custom data imports into Google Analytics and Data Studio
• Provide reports and dashboards with insights that drive changes in the business
• Perform ad-hoc analysis as necessary to answer business questions and drive decisions
• Serve as a liaison to vendor partners to ensure success with a variety of projects
• Vetting data and analytics requests throughout the development cycle including gathering reasonable data requirements, architecting collection solution, synthesizing insights, and presenting results.
• Support analysis across multiple large-scale data sources (structured and unstructured) to identify and socialize key facts and insights from within digital channels.
• Facilitate development of ETL processes between systems and click-stream JavaScript implementation. 

Skills on Resume:

• Digital Analytics Expertise (Hard Skills)
• Implementation Skills (Hard Skills)
• Collaboration and Communication (Soft Skills)
• Technical Proficiency (Hard Skills)
• Migration Expertise (Hard Skills)
• Quality Assurance (Hard Skills)
• Data Analysis and Reporting (Hard Skills)
• Data Integration and ETL (Hard Skills)

Job Summary:

• Completing model validations timely and effectively under firm's model risk management policies, regulatory guidance, and industry best practices.
• Reducing model risk to meet or exceed regulatory and industry standards with effective challenges to business models in the areas of developmental data, framework, assumptions, specification, and implementation.
• Identifying model weaknesses with a keen understanding of industry best practices and tradeoffs between different approaches.
• Communicating model issues and limitations clearly and effectively to key stakeholders in both validation reports and model forums.
• Working with stakeholders to resolve validation findings and review mitigating controls over limitations.
• Supporting all stages of digital analytics creation including design, development, and testing.
• Analyzing Marketplace customer journeys to identify opportunities for improvement.
• Maintaining and developing reports for various groups and business needs.
• Documenting in detail new business requirements and modifications to existing business requirements for metrics and measurements that will aid in analysis to deliver actionable insights to business users.
• Uncovering key business questions, design and execute analysis to address those questions, and be able to demonstrate the impact of these recommendations.

Skills on Resume:

• Model Validation (Hard Skills)
• Model Risk Management (Hard Skills)
• Analytical Skills (Hard Skills)
• Communication (Soft Skills)
• Stakeholder Collaboration (Soft Skills)
• Digital Analytics (Hard Skills)
• Marketplace Analysis (Hard Skills)
• Documentation and Reporting (Hard Skills)

Job Summary:

• Utilize a variety of statistical and analytical methods to generate predictive models and optimisation models to help explain business and operational trends to senior leadership and other division stakeholders.
• Perform ad hoc analysis to support multiple departments by compiling historical data as well as forecasting future trends.
• Develop larger scale models to embed in business processes and enable the business to make better decisions
• Research and evaluate industry trends, practices, and operational methodologies to continually improve overall company operational philosophy and performance.
• Validate and improve existing assumptions and processes; communicate informed conclusions and recommendations to senior leadership to improve business processes.
• Champion a culture of business analytics and serve as a centre of excellence for trusted data integrity and analysis needs.
• Support the Business Intelligence model by providing insights on key initiatives driven by statistical analysis, and act as a data subject matter expert to align internal customer needs with IT technical requirements to ensure the BI infrastructure is robust and competitive.
• Support the Performance Marketing and Analytics team to provide data and dashboards to optimize marketing performance. 
• Assist technical resources with translation of business requirements to ensure delivery of desired metrics and measurements.
• Define trackable metrics, build reporting, and validate the functionality of reporting.

Skills on Resume:

• Statistical and Analytical Proficiency (Hard Skills)
• Ad Hoc Analysis (Hard Skills)
• Model Development (Hard Skills)
• Research and Evaluation (Hard Skills)
• Process Improvement (Hard Skills)
• Cultural Advocacy (Soft Skills)
• Business Intelligence (BI) Expertise (Hard Skills)
• Marketing Analytics Support (Hard Skills)

Job Summary:

• Working closely with the HR Analytics Manager to interpret data, and provide data-driven recommendations
• Responsible for managing and optimizing dashboards and seeking best practices on how to present people data
• Ensure feedback from stakeholders for all HR reporting and analytics requirements are captured, evaluated, and acted upon where necessary
• Train and educate HR colleagues and business stakeholders on using and deriving insights from the HR analytics products and services
• Be a sparring partner for stakeholders, and challenge requirements to optimize the added value of HR data and analytics
• Work with other COEs to ensure metrics and reporting standards are consistent across the business
• Identify opportunities whereby HR analytics can improve existing processes, or contribute to projects
• Champion the importance of data accuracy and reliability
• Operate autonomously, focusing on keeping processes as efficient as possible
• Maintain a high level of pride in work, always looking to improve processes and increase scope

Skills on Resume:

• Data Interpretation (Hard Skills)
• Dashboard Management (Hard Skills)
• Stakeholder Engagement (Soft Skills)
• Training and Education (Soft Skills)
• Collaboration with COEs (Soft Skills)
• Process Improvement (Hard Skills)
• Data Accuracy and Reliability (Hard Skills)
• Continuous Improvement Mindset (Soft Skills)

Job Summary:

• Reach the e-commerce marketing KPIs
• Create customer and target audience segments
• Build the work frame necessary for reporting and dashboarding for supporting e-commerce team performance activities
• Coordinate with internal departments, external partners and KF Group stakeholders to successfully implement campaigns, programs, and tools to achieve e-commerce goals
• Work with internal and external team to meet content management goals by providing insights and supporting with data driven arguments on content and campaign prioritization
• Proactively recommend process improvement tactics and activities for operational excellence in relation with order and customer management
• Be a proactive member in the work groups for the business-as-usual platform implementation with a data driven mindset.
• Coordinate the technical phase of the website/mobile or customer app tracking implementations, from the taking of needs to the effective collection of reliable and relevant data
• Act as a project manager with external partners to ensure the on time, on budget and as required implementation of all on-site tracking systems
• Use Data to generate Insights and proactively work with the CRO team to generate actionable e-commerce growth tactics

Skills on Resume:

• E-commerce Marketing (Hard Skills)
• Customer Segmentation (Hard Skills)
• Reporting and Dashboarding (Hard Skills)
• Collaboration (Soft Skills)
• Content Management (Hard Skills)
• Process Improvement (Soft Skills)
• Project Management (Soft Skills)
• Data-Driven Decision Making (Hard Skills)

Job Summary:

• Create the Business Requirements and technical specifications for correctly integrate all tracking modules for, but not limited to Google Analytics (Standard to Enhanced e-Commerce), Google Ads conversion codes for all campaigns, Facebook Pixels, 3rd party Ad Servers tracking codes
• Make sure each campaign / Initiative is properly supported in UTMs, cids and conversion codes
• Build the Web Analytics Strategy (What, how often and why measure)
• Create the Web Analytics footprint consisting in all reporting and dashboarding templates, together with how to be integrated in core business BI tools Kingfisher Group uses worldwide
• Constantly update and improve Custom reporting (Google Analytics and Own Reports and Dashboards)
• Make sure Google Data Studio is properly configured for Digital KPI monitoring
• Keep Digital Dashboards Up to date
• Assure the SLA on Ad-hoc reporting
• Constant monitor website performance metrics and produce digital and sales reports for key stakeholders (marketing, trading, board, group)

Skills on Resume:

• Digital Analytics Expertise (Hard Skills)
• Business and Technical Documentation (Hard Skills)
• Web Analytics Strategy (Hard Skills)
• Reporting and Dashboarding (Hard Skills)
• Custom Reporting and Dashboards (Hard Skills)
• Google Data Studio Configuration (Hard Skills)
• Ad-Hoc Reporting and SLA Management (Hard Skills)
• Performance Monitoring (Hard Skills)

Job Summary:

• Wireframe projects that fulfill client requirements and ensure a clean data flow for attribution, data modeling, CRM analysis, etc
• Work with Engineering and Data Science teams to deliver client projects against tight deadlines
• Deliver insights and be thought leader in conversations with clients around their analytics
• Work with Product team to build new automated reporting, visualizations, and data analytics processes
• Contribute to and participate in new business pitches
• Advise on and manage the merging of differing data sets across a wide breadth of adtech and martech platforms such as DSPs, Ad Servers, Email, Apple, Facebook, Google Ad Google Analytics, etc
• Develop a deep understanding of the various Digilant reporting tools, such as the new Reporting Dashboard, Consumer Persona, and Audience Insights
• Lead the coordination of 3rd party vendors for brand studies, attribution, research, etc. and assist with the analysis of their reports
• Partner with the Sales team to identify client’s analytical and reporting needs and present solutions
• Design new, innovative reports and analyses. 
• Fully own projects from scope to execution

Skills on Resume:

• Wireframing and Data Design (Hard Skills)
• Project Management (Hard Skills)
• Analytical Thinking (Soft Skills)
• Automation and Analytics (Hard Skills)
• Business Acumen (Soft Skills)
• Data Integration (Hard Skills)
• Vendor Management (Hard Skills)
• Client Relationship and Presentation (Soft Skills)

Job Summary:

• Enable data-driven decision making by collecting, transforming, and publishing data.
• Be passionate about using science and statistics to produce meaningful interpretations of data for client stakeholders from digital analytics and other sources. 
• Be centred on Google Analytics data - unlocking insights and automating the use of business-critical datasets in BigQuery and Data Studio (using Dataflow, Cloud Functions, Apps scripts) in a commercial setting for some prestigious and well-known clients!
• Have experience or exposure in using data for attribution modeling, predictive modeling, cluster analysis and machine learning - and be able to present technical concepts (both deep and high-level) to client stakeholders, adjusting to audience accordingly.
• Delivery of analysis and reporting/ data visualisation
• Participate in daily stand-ups and weekly planning sessions
• Working alone and pairing with other team members
• Requirements gathering – with internal team and client stakeholders
• Accountable for integrity in data reporting and interpretation
• Responsible for testing and monitoring of deliverables

Skills on Resume:

• Data Collection and Transformation (Hard Skills)
• Passion for Data Science and Statistics (Soft Skills)
• Google Analytics Proficiency (Hard Skills)
• Technical Expertise in Data Tools (Hard Skills)
• Advanced-Data Modeling Skills (Hard Skills)
• Effective Communication (Soft Skills)
• Analysis and Reporting/ Data Visualization (Hard Skills)
• Collaboration and Accountability (Soft Skills)

Job Summary:

• Be responsible for developing data management and analytics solutions and providing actionable insights
• relevant to improving the safety and effectiveness of care for GenesisCare patients. 
• Conducting analysis integrating a range of data sources to gain clinically significant insights
• Develop an understanding of the available data and relationships between various sources of data including across different geographies
• and disciplines
• Partner with subject matter experts to apply domain knowledge and clinical knowledge to analytics problems
• Developing new methodologies for identification of business insights and emerging issues
• Thought leader in system and process design to deliver data and analytics that will provide greatest clinical insights
• Assist in maintaining quality dashboards as well effective reporting to key governance functions
• Conducting analysis integrating a range of data sources to gain clinically significant insights
• Develop an understanding of the available data and relationships between various sources of data including across different geographies and disciplines
• Partner with subject matter experts to apply domain knowledge and clinical knowledge to analytics problems
• Developing new methodologies for identification of business insights and emerging issues
• Thought leader in system and process design to deliver data and analytics that will provide the greatest clinical insights
• Assist in maintaining quality dashboards as well effective reporting to key governance functions

Skills on Resume:

• Data Management and Analytics (Hard Skills)
• Data Integration and Understanding (Hard Skills)
• Collaboration and Partnership (Soft Skills)
• Methodology Development (Hard Skills)
• Thought Leadership (Soft Skills)
• Quality Dashboards and Reporting (Hard Skills)
• Problem Solving and Critical Thinking (Hard Skills)
• Communication Skills (Soft Skills)

Job Summary:

• Excited about diving into relevant data and finding new ways to use it to create business value for customers
• Not just producing reports – but passionate about informative visualisations and actionable data
• Responsible team player and strong communicator
• Able to communicate fluently in both English and Finnish
• An expert collaborating closely with clients to help them drive forward their business. 
• Getting kicks from assisting the clients in defining their goals and designing the measures of success.
• Contribute to the delivery of a best-in-class pricing capability
• Build technical pricing models and implement the models into the rating engine 
• Work closely with the product pricing owner and leadership teams across various areas of the business 
• Develop and deliver pricing and rating engine capabilities
• Identify and implement a technical pricing framework in the specific portfolios
• Be a leader in and contribute to the development of the wider person team

Skills on Resume:

• Data Analysis (Hard Skills)
• Data Visualization (Hard Skills)
• Team Collaboration (Soft Skills)
• Communication Skills (Soft Skills)
• Client Collaboration (Soft Skills)
• Pricing Model Development (Hard Skills)
• Cross-Functional Leadership (Soft Skills)
• Technical Pricing Framework (Hard Skills)

Job Summary:

• Help clients achieve best-in-class use of their data by supporting them with product implementation and data automation and insights.
• Work with a portfolio of clients in analytics and digital marketing to create strong technical frameworks for data collection and data actionability. 
• Able to apply and develop skills across a diverse set of industries. 
• Based in an analytics hub in London which supports a number of Precis offices. 
• Work closely with the Copenhagen office to build digital maturity for clients.
• Apply expertise in quantitative analysis, data minin
• Presentation of data to see beyond the numbers
• Understand how users interact with products,
• Familiar with A/B testing and conversion optimization tools (Optimizely), 
• Passionate for digital trends and aware of global best practices in industry
• Results-oriented with strong planning and organizational skills,
• Project management skills and ability to manage multiple priorities,
• R or Python skills to analyze data and build statistical algorithms,
• Basic SQL skills
• Know-how about Google Analytics and Tag Management tools.

Skills on Resume:

• Data Implementation and Automation (Hard Skills)
• Technical Framework Development (Hard Skills)
• Industry Adaptability (Hard Skills)
• Analytics Hub Expertise (Hard Skills)
• Global Collaboration (Soft Skills)
• Quantitative Analysis and Mining (Hard Skills)
• Data Presentation (Soft Skills)
• Digital Marketing Optimization (Hard Skills)

Job Summary:

• Execute data analytics-driven controls, supporting the Information and Cyber Security control framework of the bank 
• Perform ad-hoc data mining and data analytics deep dives into Information and Cyber Security areas drawing objective insights from available data 
• Execute end-to-end process of data sourcing, data analysis and data/results visualization to generate security metrics and indicators 
• Streamline and standardize data analytics activities by automating manual processes to accommodate the increasing demand for new requirements 
• Interact with stakeholders in a highly federated environment, quickly adapting data sourcing and analytical methods and approaches based on new requirements in order to achieve the team’s goals. 
• Have Tableau and/or Alteryx and/or Dataiku or advanced Excel skills (or equivalent Business Intelligence tools) to translate raw data to information and insights enabling risk decisions to be made or tracking compliance of information security or other requirements. 
• Working with large and complex data sets. 
• Have desirable knowledge of data engineering and IT infrastructure aspects (Databases, Data warehouses) supporting Business Intelligence processes and/or ability to interface with those technologies. 
• Have preferred understanding of the financial industry and especially of control and business enabling functions (e.g. Technology Risk, Operations, etc.). 
• Have strong problem-solving and analytical skills mixed with a structured but pragmatic attitude 
• Be a team player with the ability to work independently and take initiative in order to organize, manage and complete projects and deliverables within tight deadlines. 
• Have persuasive oral and effective written presentation skills.   

Skills on Resume:

• Data Analytics (Hard Skills)
• Ad-hoc Data Mining (Hard Skills)
• Data Process Management (Hard Skills)
• Automation and Standardization (Hard Skills)
• Stakeholder Interaction (Soft Skills)
• Tools Proficiency (Hard Skills)
• Data Handling (Hard Skills)
• Data Engineering and IT Knowledge (Hard Skills)