• Support Manufacturing teams by turning data into critical information and knowledge that can be used to make sound business decisions.
• Conducts analyses of performance data and analytics program outputs to drive targeted problem-solving and corrections on the plant floor.
• Analyzes data and discovers patterns, meaningful relationships, anomalies and trends.
• Identifies and provides input to new technology opportunities that will have an impact on the Manufacturing BI systems & processes.
• Utilize personal knowledge augmented with analytics-generated data to drive performance improvement in manufacturing systems.
• Works closely with the IT Data team in developing the data infrastructure to support data needs.
• Data analysis and basic statistics using one or more of the following – Excel, Python, R, SQL.
• Implement and apply methods and processes to help report, analyze, and manage costs associated with multi-cloud infrastructures.
• Monitor and generate reports associated with changes in data center and public cloud resource use.
• Assist in growth forecasting and capacity planning

Skills: Data Analysis, Statistical Analysis, Performance Improvement, Business Intelligence (BI) Systems, Data Infrastructure Development, Cost Management, Growth Forecasting, Capacity Planning

• Translate business requirements to technical requirements leveraging strong business acumen
• Perform analyses of structured and unstructured data to solve multiple and/or complex business problems utilizing advanced statistical techniques and BI analyses and broad knowledge of the organization and/or industry.
• Stay up to date on current business and industry trends relevant to the client's business.
• Execute on building data solutions for business intelligence and assist in effectively managing and monitoring the data ecosystem of analytics, data lakes, warehouses platforms, and tools
• Design and build data, AI, and analytics solutions using industry-standard technologies
• Assist in the strategy and implementation of Master Data Management, Data Governance, Enterprise Data Management, and Knowledge Management
• Collaborate with Technology, Security, Data Governance, and IT Operations to ensure data access and appropriate use of data
• Participate in identifying, designing, and implementing internal process improvements - automating manual processes, optimizing data delivery, conducting data quality checks, etc. 
• Work closely with the pre-silicon IP/SoC and post-silicon validation teams to characterize, debug and root cause system-level failures
• Collaborate with Intel manufacturing team to root cause functional bugs due to silicon configuration or per-part variation

Skills: Business Requirements Analysis, Data Solutions Development, Data Governance, Master Data Management, Data Ecosystem Management, Process Improvement, Statistical Analysis, Collaboration and Communication

• Builds data pipelines to pull together Development data from Corporate cloud computing (e.g., AWS, BDP Edge) databases by working with IT database engineer business counterpart
• Conducts ETL (Extract, Transform & Load) to integrate, consolidate and clean data set to prepare data analysis
• Identifies relevant data sets needed for wafer parametric and BE performance
• Provide data visualization tool (Spotfire) and set up dashboards for the R&D team’s engineering analysis
• Co-work with the team on the data source and required parametric to apply expertise in statistics and building machine learning models to explore correlation among different groups of data, making predictions on head physical, wafer level, back end, and performance
• Recommends solutions to improve wafer process, yield, and efficiency and give insight into new technology understanding
• Validate Data visualization and Prediction models.
• Play the role of data owner, discover, create and maintain data and attributes from Equifax’s rich data assets 
• Create recommendations for increasing data utilization based on an understanding of the data delivery environment and sharing that knowledge through thoughtful metadata and other collaborative means 
• Develop sustainable, reusable, and rigorously tested data pipelines wrangled from disparate systems to drive faster, more informed decision-making and actionable insights

Skills: Data Pipeline Development, ETL Process Management, Data Visualization, Statistical Analysis, Machine Learning Model Development, Data Validation, Data Ownership, Data Utilization Recommendations

• Performing data analytics and applying data science techniques to improve 5G 4G network capacity, coverage and overall service
• Automating data collection, reports, visualization and system updates
• Creating dashboards and geolocating data to present information dynamically
• Designing, launching and optimizing the next generation of wireless technologies
• Simplifying data for team members and management
• Managing network data to generate network insights
• Deliver high-quality, coherent, and insightful solutions that address business needs by engineering end-to-end data analytics solutions using Microsoft Azure Data Services, Power BI Platform, and Databricks.
• Create data pipelines to acquire, clean and serve high-quality data to deliver business-friendly analytics solutions.
• Define deployment approaches and lifecycle management for embedding analytics in the business
• Identify and define business problems to solve by engaging with cross-functional teams and stakeholders.
• Develop innovative approaches to solving business and technical problems.

Skills: Data Analytics, Data Science Techniques, Automation of Data Collection, Dashboard Creation, Wireless Technology Optimization, Network Data Management, Microsoft Azure Data Services, Cross-Functional Collaboration

• Collaborate with the Application Development team lead to carry out the technical development plans required to implement system changes and enable the capabilities outlined in the business requirements
• Partner and collaborate with Revenue Management and Data Scientist teams in support of their systems, data, and reporting/analytics requirements
• Perform the technical development tasks to support, maintain, and enhance Cube Smart's proprietary pricing management system
• Assist in the technical design and development of enterprise applications
• Ensure all code written is robust, secure, efficient, and meets the requirements as outlined
• Ensure that all coding activities are in alignment with the technical framework and enterprise technology plan as outlined by the established architecture
• Participate in code reviews and unit testing of all completed development items for quality, performance, and successful delivery of the desired capabilities
• Responsible for adhering to the Software Development Life Cycle (SDLC)
• Participate in code deployments of all assigned work through each step in the software development life cycle
• Participate in all aspects of the Agile development methodology including daily standups, sprint planning sessions, code reviews and change management review sessions
• Utilize a task management system to ensure all work is tracked following software development methodologies
• Evaluate emerging machine learning techniques, technologies and methodologies to continue to support and evolve CubeSmart’s analytics and data science capabilities
• Performs application performance testing, tuning and bug fixes

Skills: Technical Development, Application Design, Software Development Life Cycle (SDLC), Agile Methodology, Code Reviews, Performance Testing, Machine Learning Evaluation, Data Management and Reporting

• Working experience applying data-driven modeling
• Intermediate knowledge in the following technologies including R, Python, and SQL and the ability to adapt to new technologies
• Familiar with tools such as Alteryx, SAS, Tableau, and RapidMiner
• Understanding of engineering data and physics-based models and simulations.
• Intermediate knowledge of machine learning modeling techniques, and experience visualizing model outputs for engineers, customers and stakeholders.
• Experience in statistical inference, unsupervised machine learning, supervised machine learning, reliability/survivability models, and/or predictive maintenance. 
• Basic experience with neural nets, cross-validation, hyperparameter tuning
• Good understanding of large-scale data mining and machine learning techniques for clustering, classification, regression, and anomaly detection.
• Ability to manipulate and visualize both structured and non-structured datasets.
• Advanced knowledge of database systems including relational, column store and data marts

Qualifications: BS in Applied Mathematics with 3 years of Experience

• Experience working in IT Industry
• Proficient in AWS Lambda and working knowledge of AWS S3 and Python scripting
• Expertise in a variety of integration methods including ETL, virtualization, semantic, FTP and SOA (etc.) both in batch and near real-time Data analysis, profiling & discovery
• Expert-level understanding of working with data models
• Solid technical skills include Python, SQL, and ETL experience
• Experience working in Scrum/Agile
• Must participate as an active team member, and practice effective listening and collaboration skills.
• Attention to detail and commitment to timely, high quality and error-free deliverables.
• Demonstrate the ability to work in a collaborative team environment.
• Proactive in managing issues and problems, comfortable with ambiguity.

Qualifications: BS in Information Technology with 4 years of Experience

• Data Lake or Data Warehouse experience as a data engineer or analytics engineer
• Width and depth of SQL-based data manipulation and transformation
• Experience working with DBT (Data Build Tool)
• Comfortable with distributed source control using Git
• Extremely strong in building scalable Data pipelines using SQL and Python.
• Comfort level in working with at least one BI tool such as Power BI, Tableau, Looker, etc.
• Experience with cloud data systems such as Snowflake, Synapse Analytics, Google BigQuery or AWS Redshift.
• Experience with loan products/credit risk/ credit card domain
• Values diverse, inclusive teams and creating an environment where people of all identities, experiences, and backgrounds can thrive
• Able to work collaboratively with cross-functional teams and stakeholders to achieve an organizational goal

Qualifications: BS in Data Science with 5 years of Experience

• Relevant experience delivering business intelligence and dashboard solutions.
• Expert in Tableau and data visualization design.
• Experience working with an Enterprise Data Warehouse and Snowflake, Teradata, Oracle and/or SQL Server databases.
• Demonstrable skills in building responsive data visualizations.
• Experience working in an Agile development environment.
• Knowledge of research products and technical data to recommend products, technologies, and processes for ongoing projects.
• Proven ability to produce high-quality data visualizations in a fast-paced environment.
• An expert who can tell a story with data, as well as visualize it with a variety of tools (Tableau, Looker, etc).
• Strong background in data relationships, modeling, semantic layer and mining.
• Proficient in data-wrangling technologies like SQL and Python.

Qualifications: BS in Business Analytics with 3 years of Experience

• Experience developing enterprise, full lifecycle solutions using Data and Analytics tools
• Experience with building end-to-end data and analytics solutions, including data modeling, data warehousing, data discovery, ETL/ELT Mapping, Reporting and Analytics
• Experience building and designing models in various database management systems (SQL Server, Oracle, AWS RDS, RedShift, PostgreSQL, MySQL, or Snowflake)
• SQL query knowledge – understand how to analyze data ad hoc
• Strong analytical and problem-solving skills, and relentless attention to detail
• Demonstrated ability to recognize business needs, analyze requests, and recommend solid technical solutions
• Excellent verbal and written communication skills and the ability to build and maintain trusted relationships with a diverse group of clients, team members, managers, and subject matter experts
• Experience in implementing on-premise and cloud ETL/data pipeline tools (Databricks, Airflow, Informatica Cloud, SSIS, PowerCenter, etc.)
• Experience delivering across a variety of data and analytics tool suites/platforms (Tableau, Qlik, Looker, Business Objects, etc.)
• Experience with Object-Oriented programming languages such as C# or Java

Qualifications: BS in Computer Science with 6 years of Experience