Measured and audited large volumes of varying data for data quality issues. It’s actually very simple. Solution Architect/Data Modeler Lead Resume Summary : Highly skilled Solution Architect/Data Modeler Lead with more than 20 years of experience in IT working for major corporate clients, having in-depth knowledge in Data Warehousing, Data modeling, Business intelligence system study, design, development and implementation of applications/ERP and Client/Server technologies. Experience with ETL/ELT tools like Informatica, data stage and SSIS is desired, Any BI tool experience with dashboards, reporting, and OLAP cubes are desirable, The applicant is responsible for data governance and management services including resolving variable naming inconsistences and implementing a commercial off the shelf (COTS) program that will allow staff to manage data and to obtain reports, The applicant will consult with key stakeholders to understand and document the problem and the desired end goals of the project, The applicant shall develop a project plan with timelines and key deliverables, The applicant shall meet regularly with MPB staff to provide updates and to receive feedback on progress and deliverables per the project plan, The applicant will evaluate and provide a report on variable naming inconsistencies, The applicant will recommend solutions to resolve variable naming inconsistencies, The applicant shall execute the selected solution to resolve the variable naming inconsistencies, The applicant shall develop, in collaboration with MPB staff, system requirements for scalable COTS solutions to manage data and provide reports, The applicant shall present options for data management and reporting tools, The applicant shall consult with key MPB staff to finalize how the selected tool will be used, The applicant shall train MPB staff to use the tool, The applicant will provide a user-friendly guide for use of the tool to MPB, A bachelor’s degree (database management/administration preferred), Three years applied experience in research data management in an academic or scientific setting, Proficiency accessing and exporting data in SPSS, A commitment to data integrity and quality over the life cycle of the project, The ability to develop creative solutions to data-related problems, The ability to communicate effectively about work with non-technical personnel, Knowledge of enterprise data management tools is preferred, Ability to sign a non-disclosure agreement, Hands on extraction and analyzing data and the data sources/elements to enable marketing analytics decision making, Be able to document use cases, solutions and recommendations on the data based on the needs of the client in order to answer the questions that the solutions should output, Expert in translating business requirements into technical use cases that will be implemented during the data extraction process, Have excellent written and verbal communication skills to be able to explain your work in plain language and mentor/train customers and internal team members on data sets and utilities, Help program and project managers in the design, planning and governance of implementing projects of any kind, Be able to work creatively and analytically in a problem-solving environment, Be a self-starter and be able to work in a team of employees with different disciplines in a fast-paced agile development environment, A firm understanding of major programming/scripting languages like Java, Linux, Javascript, Shell, and Python, Experience in working with ETL tools and technologies such as Talend and Pig, Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and knowledge of SQL, MySQL, PostgresSQL and NoSQL platforms as well as Hadoop, Apache Spark, Redshift and Hive, Experience in large cloud-computing infrastructure solutions like Amazon Web Services (S3 & EC2) and Elastic Map Reduce, Be very skilled with cross-industry, cross-functional, and cross-domain know-how, Understand and have experience with data security and privacy concerns that could arise that should be taken care of from the start, Bachelors’ of Science in Software Engineering, Computer Science, or related field, 10+ years of software development experience with an emphasis in big data science, Experience in digital marketing analytics preferable, Excellent flexibility, and the ability to own multiple analytic tasks at once, Strong problem solving and requirements definition with the ability to adapt to changing deliverables quickly, Ability to train and be trained in an agile environment, Lead a team of 10-15 analysts & provide thought leadership in analytics data best practices, analytic solution development and deployment, Analyze and mine business data to identify patterns and correlations among various data points, documenting types & structure of data as needed for analytics use, Map and trace data between systems in order to solve a given business or system problem, serving as the primary owner of the analytics data hub, Perform statistical analysis of business data to understand and improve the quality of data, Design secure solutions that protects data along with administrating confidentiality requirements, Define the data and solution architecture for analytics, collaborating closely with other enterprise groups, Lead the team in an agile way to achieve business goals on time, at the lowest possible cost, and on budget, Leverage and make available external datasets to augment analytics solutions for internal use and customer solutions, 4 year Bachelor’s degree preferably in statistics, mathematics, computer science, software engineering or related field, 6+ years of professional experience in data mining & solution architecture, working with big data technologies, 2+ years of people leadership experience, preferably within data & analytics solution architecture or related analytics capability, 2+ years working within a cloud-based environment, preferably AWS or Azure, Experience using statistical packages and techniques with demonstrated application, particularly with more advanced and emerging technologies, including but not limited to machine learning, regression and/or Python/R, Experience in analytics/transactional systems, business intelligence and analytics deployments, Experience with big data technologies preferably in Azure Data Lake, Cosmos, or Hadoop, Advanced degree in statistics, economics, mathematics, or a similar field with a minimum of 12 years of progressively responsible, professional experience utilizing quantitative analytics), Ability to come up with solutions to loosely defined business problems leveraging pattern detection over potentially large datasets, Demonstration of the following data scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance & fairness, Must demonstrate superior accountability, decision-making, initiative, innovation, judgment, planning and organizing, interpersonal skills and the ability to communicate quantitative information effectively, In-depth industry / business knowledge of those which Caterpillar operates, Ability to work cross-functionally with a wide range of engineers and project team members having diverse skill sets, Experience managing complex analytics databases and deploying simplified summaries and conclusions from the data, Experience with producing and maintaining detailed data and analytics presentations, business proposals, and internal- and external- facing presentations, The Big Data & Data Architect will be responsible for big data solution technical architecture design and delivery for Keyrus Customer. 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