• Identify and implement strategies leveraging marketing and non-marketing data
• Analyze customer, transaction, and operations data
• Find trends and patterns, create actionable insights
• Help design and execute A|B, Multivariate, and DOE tests
• Partner with data scientists to develop advanced regression, segmentation, and machine learning models
• Leverage the latest analytical tools and data mining techniques
• Create presentations leveraging data visualization tools
• Communicate analytical findings and recommendations to key stakeholders
• Support ad hoc analytic and reporting needs
• Begin to establish a broader internal network

• Data Analysis (Hard Skills)
• Statistical Analysis (Hard Skills)
• Data Interpretation (Hard Skills)
• Collaboration (Soft Skills)
• Technical Competence (Hard Skills)
• Data Visualization (Hard Skills)
• Communication Skills (Soft Skills)
• Adaptability and Networking (Soft Skills)

Job Summary:

• Develop interactive, functional applications for data visualization
• Meet with the design team to discuss application features and design ideas
• Create web application design mockups with enhanced UI features
• Design graphic user interface elements, like menus, tabs, and widgets
• Build page navigation buttons and search fields
• Develop routines and optimize code for enhanced performance
• Collaborate with the data science team to leverage various models to build impactful data products
• Involved in all stages of Software Life Cycle Management in an Agile environment
• Operate a computer and communicate via telephone
• Take advantage of available resources to advance technical and business skills

Skills on Resume: 

• Application Development (Hard Skills)
• Design Collaboration (Soft Skills)
• Mockup Creation (Hard Skills)
• UI Design (Hard Skills)
• Navigation and Search (Hard Skills)
• Code Optimization (Hard Skills)
• Data Science Collaboration (Soft Skills)
• Agile Software Development (Soft Skills)

Job Summary:

• Serve as an expert on the Marketing department’s data sources
• Develop and build reproducible and automated reports on Marketing KPIs
• Provide accurate, relevant, and meaningful ad-hoc analysis to management
• Support strategic and tactical decision-making
• Capture business requirements and create custom Tableau dashboards for various stakeholders
• Develop advanced analytics models including creating, validating, analyzing, and explaining the data used for model development
• Work with stakeholders from the Marketing department and develop new analytics solutions
• Identify necessary data and support analytics best practices
• Understand how assigned tasks fit into the broader initiative
• Improve upon existing methodologies by implementing the ingestion of new data sources

Skills on Resume: 

• Expertise in Marketing Data Sources (Hard Skills)
• Report Development and Automation (Hard Skills)
• Ad-hoc Analysis (Hard Skills)
• Decision Support (Hard Skills)
• Dashboard Creation (Tableau) (Hard Skills)
• Advanced Analytics Modeling (Hard Skills)
• Stakeholder Engagement and Solution Development (Soft Skills)
• Data Management and Best Practices (Hard Skills)

Job Summary:

• Perform business and data analysis on projects related to research engagement and analytics
• Document business requirements, processes, and procedure
• Synthesize and translate business data needs into creative visualizations
• Design and develop dashboard automation processes
• Work closely with IT, BI analysts, internal clients, and stakeholders
• Organize and present results of data analysis
• Identify underlying data patterns structures and issues through comprehensive data analysis
• Work with multiple data sources, transformations, filters, calculated fields, groups, and parameters
• Prepare reports using key metrics and various data sources to provide actionable insights
• Recommend best practices to structure data, prep
• Communicate and interpret the results of experiments, production KPIs, and cost/benefit analysis

Skills on Resume: 

• Business and Data Analysis (Hard Skills)
• Documentation (Hard Skills)
• Data Visualization (Hard Skills)
• Dashboard Automation (Hard Skills)
• Collaboration (Soft Skills)
• Presentation (Soft Skills)
• Data Analysis Techniques (Hard Skills)
• Data Preparation (Hard Skills)

Job Summary:

• Summarize within the data warehouse for improved visualizations
• Collaborate with other business units to source data and build logic
• Work with Subject Matter Experts and stakeholders
• Understand business problems and create user stories and business requirements
• Perform and document data analysis, data validation, and data mapping/design
• Develop and manage advanced reporting, analytics, dashboards, and other BI solutions
• Maintain a high standard of data cleanliness
• Work with the Business Innovation, Technology, and Front Office
• Cleanse and transform data into a model that fits with TDS's single source of truth data convention.
• Test, clean, and standardize data to meet the business standards

Skills on Resume: 

• Data Warehousing (Hard Skills)
• Collaboration (Soft Skills)
• Stakeholder Management (Soft Skills)
• Business Understanding (Hard Skills)
• Data Analysis (Hard Skills)
• Business Intelligence Development (Hard Skills)
• Data Quality Assurance (Hard Skills)
• Data Transformation (Hard Skills)

Job Summary:

• Develop unit tests and GUI code for in-house codebases
• Oversee bioinformatics database curation
• Manage databases spanning several company projects
• Run bioinformatics and data-analysis codes and provide the desired outputs
• Monitor codebases for software changes
• Partner with and report to the computational team to advance the broader in silico discovery pipelines
• Responsible for test model enhancements, and fine-tuning model parameters
• Communicate and build rapport with team members, stakeholders, and business partners from initiation to close
• Develop Python/SQL ETLs and data ingested through the chosen vendors API
• Improve computation capabilities within the current SQL Database producing a seamless output

Skills on Resume: 

• Proficiency in Unit Testing and GUI Development (Hard Skills)
• Bioinformatics Database Curation (Hard Skills)
• Database Management Skills (Hard Skills)
• Data Analysis and Code Execution (Hard Skills)
• Codebase Monitoring (Hard Skills)
• Collaboration and Reporting (Soft Skills)
• Model Testing and Optimization (Hard Skills)
• Communication and Stakeholder Management (Soft Skills)

Job Summary:

• Work with the Product and/or Engineering Teams to help data science and analytics effort
• Translate high-level business requirements into research, execution, measurement, and stakeholder presentation
• Design and develop exploratory data analysis, statistical modeling, and/or predictive analytics
• Work with non-technical stakeholders presenting, distilling, and recommending go-forward strategies
• Work in an agile-based environment in cycles of build, measure, and learn
• Create production-level code from a model, analysis, or proof-of-concept solution
• Build internal and external measurements and strategies from both structured and unstructured data sources
• Translate abstract business requirements to steps of business requirements research questions model building
• Partner with and report to the computational team
• Gain an understanding of sponsor business challenges and evaluate possible technical solutions

Skills on Resume: 

• Data Science and Analytics Collaboration (Hard Skills)
• Business Requirement Translation (Hard Skills)
• Exploratory Data Analysis and Statistical Modeling (Hard Skills)
• Stakeholder Communication (Soft Skills)
• Agile Methodology (Hard Skills)
• Production-Level Code Development (Hard Skills)
• Data Sourcing and Strategy Building (Hard Skills)
• Problem-solving and Solution Evaluation (Hard Skills)

Job Summary:

• Drive high-throughput DNA genotyping optimization
• Leverage complex datasets to create models that predict lab process health and prescribe appropriate remediation actions
• Form partnerships with cross-functional teams in Breeding, Product Supply, IT 
• Drive optimization of complex workflows that span functions and countries
• Solve complex problems requiring original thinking and deductive reasoning and the application of scientific principles
• Lead workflow optimization and method validation projects using multiple data sources
• Present compelling, validated stories to all levels of the organization
• Responsible for peers, senior management, and internal customers
• Achieve commitment to safety and adherence to safety protocols and best practices
• Design and analyze the results of experiments independently
• Perform a variety of experiments

Skills on Resume: 

• DNA Genotyping Optimization (Hard Skills)
• Data Modeling and Analysis (Hard Skills)
• Cross-Functional Collaboration (Soft Skills)
• Process Optimization (Hard Skills)
• Problem Solving and Scientific Thinking (Hard Skills)
• Project Leadership (Soft Skills)
• Effective Communication (Soft Skills)
• Safety Commitment (Soft Skills)

Job Summary:

• Extensive data analysis to help identify analytical opportunities for our customers
• Oversee program development process, from introduction to launch, including pre-and post-launch deliverables
• Manage data flows and data quality
• Review and validate data loaded into the data aggregates for accuracy
• Responsible for prototyping and developing reporting solutions
• Maintains knowledge of software tools, languages, scripts, and shells that support the data 
• Possess working knowledge of Relational Database Management Systems, data warehouse concepts, and tools
• Automate various manual functions in the strategy team
• Optimize the team's time to produce content
• Work with key project stakeholders and various technology businesses
• Load key data and model/framework outputs into the cloud server environment
• Ensure the project team is evolving with customers by working with Marketing, Technology, and other key stakeholders

Skills on Resume: 

• Data Analysis Skills (Hard Skills)
• Project Management (Soft Skills)
• Data Management (Hard Skills)
• Data Validation (Hard Skills)
• Reporting Solutions Development (Hard Skills)
• Technical Proficiency (Hard Skills)
• Database Management (Hard Skills)
• Automation Skills (Hard Skills)