- Able to mentor junior team members and contractors
- Partner with business customers to understand objectives and maintain alignment on measurement and reporting strategies
- Document, and conduct analyses of business requirements and objectives
- Use statistical and quantitative analysis of data as well as explanatory and predictive modeling
- Maintain familiarity and understanding of the underlying data structures of key information systems relevant to data intelligence objectives
- Conduct data exploration and analysis to explore opportunities and provide practical application recommendations
- Develop, evaluate, and refine analytic models to address business needs
- Develop operational reports, dashboards, analytic models, and data visualizations
- Promote and support the advancement of Business Intelligence abilities among peers and the business com
- Provide direct hands-on training, support, and assistance to end-users of business intelligence solutions
- Lead all aspects of data intelligence trends and proactively maintain professional proficiencies
- Five or more years of pertinent professional experience
- Bachelors' Degree in Information Systems, Computer Science, Data Science, or closely related field of study
- Strong written, verbal, and interpersonal qualities
- Comfortable presenting with all levels of business management
- Able to converse fluently in both technical detail and non-technical / business terms
- Adept at conveying technical concepts effectively to a non-technical audience
- Adept at understanding business processes and objectives to develop relevant data intelligence solutions
- Proficiency in administration and use of ETL tools for data integration – ETLWorks product experience is a plus
- Updated proficiency in data analytic and visualization tools – Microsoft PowerBI strongly preferred
- Exposure to various enterprise data systems and platforms including JD Edwards, Oracle, Microsoft SQL Server, and other structured and unstructured data sources both on-premise and cloud-based
- Shown ability to synthesize raw data into business insights
- Expertise in SQL, firm foundation in statistical concepts
- Excellent analytical skills and problem-solving ability
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Senior IT Data Analyst - Katy, United States - U.S. Silica
Description
U.S. Silica Holdings Inc. is a global performance materials company and is a member of the Russell 2000. The company is a leading producer of commercial silica used in the oil and gas industry and in a wide range of industrial applications. Over its 123-year history, U.S. Silica has developed core competencies in mining, processing, logistics and materials science that enable it to produce and cost-effectively deliver more than 600 diversified products to customers across our end markets.
U.S. Silica's wholly-owned subsidiaries include EP Minerals and SandBox LogisticsTM. EP Minerals is an industry leader in the production of products derived from diatomaceous earth, perlite, engineered clays and non-activated clays. SandBox LogisticsTM is a state-of-the-art leader in proppant storage, handling and well-site delivery, and is dedicated to making proppant logistics cleaner, safer and more efficient. The company has 27 operating mines and processing facilities and two additional exploration stage properties across the United States and is headquartered in Katy, Texas.
The Sr IT Data Analyst serves as the team dedicated specialist in the collection, integration, analysis, interpretation, and presentation of data analytics. The role is in charge of gaining an understanding of business models, analyzing involved data structures, and developing data visualizations to provide business insights and support decision making based on data capabilities. The candidate will have a combination of business savvy, technical talent, and soft skills. This position will divide attention approximately 40% to projects, 40% to production support, and 20% to continuous improvement
Essential Job Functions: