Job Summary: 

• Create useful reports and dashboards to help generate insights for Product and Growth teams from
• Analyze results of A/B tests and data collected from experiments
• Work with engineers to ensure that data collection has been correctly implemented
• Collaborate with Product Managers to analyze the performance of new features and help with research for upcoming features
• Analyze customer trends and opportunities relating to campaigns to identify campaign optimization opportunities
• Engage in market research to identify opportunities to drive customer and patient behavior
• Partner with the business to understand business needs and build out solutions for self-service analytics & insights
• Assist with the preparation and execution of the Retail Analytic data dictionary
• Analyze and translate customer requirements into a new software design
• Develop new web-based applications for the Yield Engineering team
• Integrate data from project tools like Bitbucket, Git, etc.

Skills on Resume: 

• Data Analysis (Hard Skills)
• A/B Testing (Hard Skills)
• Data Visualization (Hard Skills)
• Collaboration (Soft Skills)
• Market Research (Hard Skills)
• Customer Trend Analysis (Hard Skills)
• Problem Solving (Soft Skills)
• Software Development (Hard Skills)

Job Summary: 

• Facilitating the acquisition, manipulation, circulation and use of data (Google Sheets, Ad Manager, Google Analytics, ...)
• Producing reports and proposing ways to improve the performance
• Participating with the technical and operational teams in the definition of new functionalities and ensuring the systematic inclusion of data feedback.
• Proposing and developing experimental protocols designed to improve the performances (AB tests, calibration of algorithms, etc.).
• Identify automation needs and manage projects from end to end until the solution is implemented
• Supporting the operational teams in understanding and handling data analysis issues.
• Proposing new indicators and tools for monitoring, and giving relevant data in case of bugs.
• Monitoring and administering various commercial and internally developed software tools
• Providing training and support to product engineers, test engineers, and other engineers who use the tool
• Using the tools to perform statistical data analyses in support of yield improvement, problem resolution, and other activities
• Creating and updating documentation on tools and processes

Skills on Resume: 

• Data Manipulation (Hard Skills)
• Reporting (Hard Skills)
• Collaboration (Soft Skills)
• Experimental Design (Hard Skills)
• Project Management (Hard Skills)
• Data Analysis Support (Soft Skills)
• Software Monitoring (Hard Skills)
• Training and Support (Soft Skills)

Job Summary: 

• Assist with test case development to help identify reporting needs and capabilities.
• Collaborate with ETL (extract, transform, load) developers and DBAs in the development of data models and implementation of best practices.
• Assist with full lifecycle activities to complete the business reporting backlog.
• Participate in projects to help with identifying data-related changes and help complete Erwin business models
• Assist in the development of the Enterprise Data Governance program.
• Assist with gathering necessary data for reporting and work to import data into Apptio and the CMDB according to a defined schedule
• Operationalize data monthly by loading, validating, and reviewing on a timely basis
• Monitor/maintain processes to improve and optimize data accuracy/completeness and research and resolve problems
• Recommend and implement (where applicable) modifications to the processes
• Collaborate with Apptio and CMDB end users to provide training 
• Work with Service Lines to update/maintain CMDB Data

Skills on Resume: 

• Test Case Development (Hard Skills)
• Data Modeling (Hard Skills)
• Business Reporting (Hard Skills)
• Data Governance (Hard Skills)
• Data Importing (Hard Skills)
• Data Validation (Hard Skills)
• Process Improvement (Soft Skills)
• Training (Soft Skills)

Job Summary: 

• Responsible for helping teams transform their raw data into action items. 
• Make full use of their existing technical and communication skills
• Serve an important role in finding and implementing process improvement ideas while learning new tips along the way.
• Help condense large, often complex data and theory into clear, concise, easy-to-understand observations
• Help perform root cause analysis on internal and external data processes to answer specific business questions, identify points of interest and find ways to improve the process based on these results
• Communicate findings to team members and leaders
• Understand and apply tools for gathering data and performing analysis
• Run reports and deliver results regularly
• Perform ad hoc reporting and analyses
• Act as a liaison between teams to gather and communicate essential information for process improvement

Skills on Resume: 

• Data Transformation (Hard Skills)
• Technical Communication (Soft Skills)
• Process Improvement (Soft Skills)
• Data Condensation (Hard Skills)
• Root Cause Analysis (Hard Skills)
• Reporting (Hard Skills)
• Data Analysis Tools (Hard Skills)
• Team Liaison (Soft Skills)

Job Summary: 

• Proactively audit, uncover, and resolve data integrity issues in Salesforce.com
• Interpret data, analyze results, and make recommendations on how to improve usage of customer relationship management (CRM)
• Identify trends or patterns in complex data sets
• Filter and clean data for various business functions
• Review and assess current state to identify and recommend improvement opportunities
• Design and create global reports/dashboards in Salesforce following corporate goals
• Locate and define new process improvement opportunities
• Take online Salesforce.com training to get familiar with the tool
• Present weekly progress to the team
• Driving technical data integration
• Keep the Data Services leadership apprised of status including promptly reporting issues and/or problems affecting services delivery levels

Skills on Resume: 

• Data Integrity Auditing (Hard Skills)
• Data Interpretation (Hard Skills)
• Trend Analysis (Hard Skills)
• Data Cleaning (Hard Skills)
• Process Improvement (Soft Skills)
• Report/Dashboard Design (Hard Skills)
• Salesforce Training (Hard Skills)
• Progress Presentation (Soft Skills)

Job Summary: 

• Providing support to data specialists and asset team business data users
• Resolving data issues in issue logs and reports, determining the root cause of issues
• Analyzing, designing and implementing data quality rules, data loading automation, data integrations, controls, and measures
• Working with the data management business analysts to determine the viability of proposed standards and refine existing standards
• Acting as the data management data steward to define, analyze and document systems of record and managed data stores
• Defining data to be published in the master data store, working with the data management team and IT to define and document published data
• Defining and maintaining all technical data documentation, including data definitions, data flow, lineage, systems of record, technical and operational metadata, etc.
• Monitoring data quality metrics and performing analysis to improve data quality rules
• Making recommendations for preventative data quality controls
• Assisting in defining data management measures, metrics, KPIs and reports
• Assisting with the delivery of change communication, education and training materials

Skills on Resume: 

• Data Support (Soft Skills)
• Root Cause Analysis (Hard Skills)
• Data Quality Rules (Hard Skills)
• Data Integration (Hard Skills)
• Data Stewardship (Soft Skills)
• Technical Documentation (Hard Skills)
• Data Quality Monitoring (Hard Skills)
• Change Management (Soft Skills)

Job Summary: 

• Builds predictive models and performs descriptive analytics using statistical methods such as clustering and segmentation techniques, regression, and propensity modeling.
• Provides ad-hoc reports and deep dives into customer analytics to help answer and guide strategic business decisions.
• Analyzes Shoe Carnival customer data, demographics, segmentation, and market basket data to transform it into meaningful insights.
• Ensures data integrity by leveraging proven methodologies, including data reconciliation, data integration, and data audits.
• Translates complex analytics tasks into concise and easily consumable outputs (data storytelling and dashboards) to help business stakeholders make data-driven decisions.
• Designs and tests multivariate tests in collaboration with internal and external teams.
• Provides multi-functional teams with data related to the performance of marketing channels, the health of the customer file, and the impact of pricing/promotions.
• Analyze customer data and create reports to assist customers with interpreting data.
• Work with stakeholders (customer support, product owners, project manager, development team, etc.) to stay in touch with customer and product requirements.
• Artificial Intelligence Algorithms and Machine Learning Models
• Implement, train, and test AI/ML/PM models.
• Look for ways to improve existing AI/ML models

Skills on Resume: 

• Predictive Modeling (Hard Skills)
• Descriptive Analytics (Hard Skills)
• Data Integrity (Hard Skills)
• Data Storytelling (Hard Skills)
• Multivariate Testing (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• AI/ML Model Implementation (Hard Skills)
• Continuous Improvement (Soft Skills)

Job Summary: 

• Assist with ERP implementation and other IT project execution
• Assist with business requirements gathering and cost analysis
• Coordinate with internal business departments and consultants
• Support daily OA system operation
• Help with vendor contract management, order confirmation, and payment application
• Customer requirement analysis
• Data analysis to attend to customers’ questions and queries
• Design and maintain the Tableau dashboard
• Take part in Data Analytics and Machine Learning prototyping
• Assist in building Predictive machine learning-based systems
• Communicate with other departments about requirements and results interpretation.

Skills on Resume: 

• ERP Implementation (Hard Skills)
• Business Requirements Gathering (Soft Skills)
• Coordination (Soft Skills)
• Vendor Management (Hard Skills)
• Customer Requirement Analysis (Soft Skills)
• Data Analysis (Hard Skills)
• Tableau Dashboard Design (Hard Skills)
• Machine Learning Prototyping (Hard Skills)

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 including prospecting, research, proposal development, and sales pitches.
• Attend relevant trainings, e.g. Media Relations, Social Media Analysis, Compliance Ethics, Sector Overviews.
• Develop data insights reports, support in story-lines and drive business change
• Act as the right hand to project/program managers driving data execution projects forward
• Support the digital product team to turn proof of concepts into product offerings
• Execute market research in the AI & Data domain to help us win in the Food and Beverage industry
• Effectively communicate insights to team & business stakeholders
• Build and support effective data quality and assurance programs

Skills on Resume: 

• Data Analysis (Hard Skills)
• Data Cleaning (Hard Skills)
• Collaboration (Soft Skills)
• Sales Support (Soft Skills)
• Training Participation (Soft Skills)
• Report Development (Hard Skills)
• Market Research (Hard Skills)
• Communication Skills (Soft Skills)

Job Summary: 

• Pulling data from various sources (MySQL, MongoDB).
• Data documentation in collaboration with the Dev department.
• Assist in Analyzing, manipulating and interpreting the data to provide insights.
• Take responsibility for data cleansing (in Python).
• Developing scalable solutions that utilize the highest standards of analytical rigor and data integrity
• Presenting analytical results and data visualizations in a way that is meaningful for business stakeholders and provides actionable insights
• Discovering new opportunities where advanced analytical techniques can be leveraged for solving business problems
• Collaborate with a small group of awesome developers and user experience professionals internationally to help define the analytics strategy for the internal enterprise services portal for employees
• Analyze the performance of the portal for a wide range of user groups (knowledge workers, creative roles, engineering profiles, newcomers, shop floor workers, etc. )
• Assemble data products (statistical models, data visualizations, ETL process, reporting tools…) to analyze performance and support data-driven decision-making culture
• Share the results of work with a wide range of stakeholders (IT professionals, process owners, senior leadership) to influence the development and improve the usage of the portal

Skills on Resume: 

• Data Extraction (Hard Skills)
• Data Documentation (Hard Skills)
• Data Analysis (Hard Skills)
• Data Cleansing (Hard Skills)
• Analytical Rigor (Hard Skills)
• Data Visualization (Hard Skills)
• Collaboration (Soft Skills)
• Stakeholder Communication (Soft Skills)

Job Summary: 

• Creating key financial and non-financial metrics that impact growth, profitability and achievement of strategic objectives while tracking and improving operational efficiency
• Ownership of billing process workflow and software to ensure real-time revenue tracking and improve efficiency
• Perform ad hoc queries and design, prepare and distribute reports for C-suite/Partner review as well as local, state, and federal agencies on an as-needed basis
• Partner with back-end functions/processes to develop a strategy for reporting best practices
• Work to optimize and streamline financial data management, eliminating duplication and errors
• Tracking KPIs/metrics from different data sources (patient records, billing software, etc.) and the ability to use data to provide logical explanations for trends
• Develop dashboards that provide timely, automated access to key performance metrics aligned with the strategic goals of the organization (transform data into usable business intelligence)
• Work with C-suite/Partner(s) to define business requirements and translate conceptual ideas into actionable plans
• Performing gap analysis and making recommendations to address the gaps, with minimal guidance, being able to propose creative and insightful solutions
• Leading data acquisition, collection, corrections and entry 
• Identifying conflicts and anomalies across databases at a high level and following established procedures for making corrections, escalating issues when required for resolution

Skills on Resume: 

• Metric Development (Hard Skills)
• Billing Process Management (Hard Skills)
• Report Design (Hard Skills)
• Data Optimization (Hard Skills)
• KPI Tracking (Hard Skills)
• Dashboard Development (Hard Skills)
• Business Requirements Analysis (Soft Skills)
• Problem Solving (Soft Skills)