Job Summary:

• Assist the team in the identification, analysis and understanding of social issues and trends using data and quantitative approaches.
• Collect, clean and transform data from multiple sources for report generation and visualization.
• Collaborate with client teams to translate insights into communications marketing programs.
• Support sales efforts as needed, including prospecting, research, proposal development, and sales pitches.
• Attend relevant training, e.g. Media Relations, Social Media Analysis, Compliance Ethics, Sector Overviews.
• Collaborate with experts, including psychometricians, behavioral scientists, data engineers, and digital and marketing professionals 
• Create and execute programs that follow on from the E.P.I purpose-based planning approach
• Lead data science research projects
• Create tools, techniques, and practices to maximize the investment team’s efficiency and utilization of data
• Engage with investment team members to understand their needs and how to best deliver meaningful insights

Skills on Resume:

• Data Analysis (Hard Skills)
• Data Management (Hard Skills)
• Communication Skills (Soft Skills)
• Sales Support (Soft Skills)
• Continuous Learning (Soft Skills)
• Interdisciplinary Collaboration (Soft Skills)
• Project Management (Soft Skills)
• Tool Development (Hard Skills)

Job Summary:

• Create analytical reports and presentations, deliver ad-hoc analysis via Tableau, Excel, R or Python
• Liaise with broader IT team to develop and enhance technical tools, including steering data science projects into the firm’s broader data warehouse
• Participates in Data Science projects to develop machine learning models for Audience Segmentation and Customer Retention to drive better revenue outcomes.
• Audit metrics of website performance and ensure that tags are firing correctly and data flowing into Snowflake correctly capture all aspects of user engagement.
• Create a corporate data dictionary and document the data model, table and entities relationships.
• Develop reporting dashboards.
• Support the collection and integration of data across various sources and systems.
• Python programming with knowledge of distributed computing (Hadoop, Apache Project).
• Has a cursory knowledge of a Business Intelligence platform (PowerBI, Looker or Tableau) and modern columnar database (Snowflake, BigQuery or Redshift).

Skills on Resume:

• Analytical Reporting (Hard Skills)
• Data Analysis Tools (Hard Skills)
• Collaboration (Soft Skills)
• Data Science and Machine Learning (Hard Skills)
• Website Performance Audit (Hard Skills)
• Data Modeling and Documentation (Hard Skills)
• Dashboard Development (Hard Skills)
• Data Collection and Integration (Hard Skills) 

Job Summary:

• Assist the Digital Analytics Team by performing data collection, data analysis, digital analysis, modeling and reporting of key measurements
• Assist with analyzing and developing innovative new and/or existing process changes
• Using Google Analytics, Data Studio, Tag Manager and will work towards earning a certificate in Google Analytics.
• Create documentation of widely used SQL queries and build the Team's Dataiku repository or similar system.
• Create a new analytics repository for data definitions to standardize critical indicators and metrics to track Digital Team performance.
• Create new insights repository to track and share completed analyses with stakeholders across the organization.
• Undertake projects and programs designed to develop professional skills and expertise appropriate to the organization's needs.
• Receive guidance, training, and mentoring from senior personnel in planning and carrying out activities and assignments.
• Data processing, manipulation and analysis of information related to different clients from different sectors, to define their different action strategies.
• Carry out monitoring reports on debt portfolios.
• Prepare reports on queries to the generic scores of the company.
• Analysis of the payment behavior of customers of different companies based on generic models and drawing of conclusions.
• Operates standard office equipment and uses required software applications.
• Improving existing data collection methods and creating analytical reports that utilize complex data to assist in risk analysis.

Skills on Resume:

• Data Analysis (Hard Skills)
• Analytics Tools (Hard Skills)
• SQL Proficiency (Hard Skills)
• Data Visualization (Hard Skills)
• Documentation Management (Hard Skills)
• Communication (Soft Skills)
• Continuous Learning (Soft Skills)
• Risk Analysis (Hard Skills)

Job Summary:

• Integrate and mine large data sets, connecting data from disparate sources to identify critical insights and pragmatic solutions.
• Conduct qualitative and quantitative analysis.
• Conduct primary and secondary research.
• Create reports that include summaries, graphs, diagrams, and other visual representations.
• Maintain/update/create technical specifications (data mapping, data flows, and dashboard content).
• Lead Supply chain development to support business needs and harvest direct material cost competitiveness in global marketplace.
• Apply Data analytics in procurement strategy as a competitive advantage.
• Learn about the HP micro-fluidic technologies in the various Ink Delivery Systems.
• Understand the different commodities that made up in the HP Ink System and their interactions.
• Drive value engineering to improve cost competitiveness.
• Process a variety of complex data and reports to help drive improvements in the Sales and Operation Planning process.
• Provide business data for existing reporting systems, key initiatives, and metrics.
• Support various projects for the Supply Chain Department with emphasis on automation of the data.
• Track, analyze and interpret trends of patterns to drive action to improve the demand and supply planning process.
• Maintain accurate data through the use of analytical tools, database management and utilizing SAP tables.

Skills on Resume:

• Data Integration and Mining (Hard Skills)
• Quantitative and Qualitative Analysis (Hard Skills)
• Research Skills (Hard Skills)
• Report Creation (Hard Skills)
• Technical Specifications Management (Hard Skills)
• Supply Chain Development (Hard Skills)
• Data Analytics in Procurement (Hard Skills)
• Engineering Understanding (Hard Skills)

Job Summary:

• Pre-sale module management:
• Operations, pitch deck and seller communications, proposal for improvements
• Pitch deck standardization:
• Create templates for seller-facing pitch decks for initiatives/new mechanics/rollouts by the commercial team
• Campaign management
• Support in the operations of campaign preps: strategy, execution, and analysis
• Assist in the development and maintenance of Financial Models
• Apply Statistics and Economics to studies
• Produce spreadsheets and graphics from model results
• Prepare assigned PowerPoint presentations to support recommendations to TEA’s clients
• Become familiar with the fundamental operation of Pacific Northwest (PNW) bilateral and Western (CAISO) organized markets
• Become familiar with TEA’s organization – front, middle, and back office, and functions
• Specified projects and varied assignments. 
• Data gathering and analysis, assisting with client communication and marketing efforts, collaboration with technology initiatives, and work on operational processes.

Skills on Resume:

• Project Management (Soft Skills)
• Communication Skills (Soft Skills)
• Financial Modeling (Hard Skills)
• Data Analysis (Hard Skills)
• Market Understanding (Hard Skills)
• PowerPoint Presentation Skills (Hard Skills)
• Adaptability (Soft Skills)
• Team Collaboration (Soft Skills)

Job Summary:

• Supporting with several data and analytics related tasks in HR department
• Work closely with the HR Analytics Specialist, international HR team, and partner with experienced HR professionals to continue establishing Irdeto’s HR Analytics.
• Assist the lead analyst in HR data reporting, gathering data and optimizing of processes to solve business problems.
• Assist the lead analyst in interpreting analytics results and providing actionable insights.
• Use SuccessFactors, programming and Microsoft tools to assist with analysis and results validation.
• Assist with the identification of on-line training resources for relevant stakeholders and creation of knowledge-based articles and documentation.
• Assist with the development and maintenance of department documents including, but not limited to project plans, and procedures.
• Assist in enhancing reports for better functional reporting
• Assist to put together and communicate the HR data governance framework and process
• Assist in data mining, data interpretation, and report generation
• Assist in data completion and clean-up efforts on the HR systems
• Work closely with other teams to prioritize business and information needs
• Proficient in MS Office tools with excellent MS Excel skills

Skills on Resume:

• Data Analysis (Hard Skills)
• Technical Proficiency (Hard Skills)
• HR Analytics (Hard Skills)
• Documentation (Hard Skills)
• Data Governance (Hard Skills)
• Collaboration (Soft Skills)
• Training (Soft Skills)
• Problem Solving (Soft Skills)