Staff analyst
Description
As a Staff Data Analyst, you will specialize in collecting, organizing, and analyzing data from various sources with the purpose of turning numbers into context and recommendations. You will paint a picture of how the business is operating using a variety of data analysis techniques and statistics. You will integrate, transform, and improve volumes of data at the project or company level for streamlined processes, greater efficiencies and more informed decision-making. The Staff Data Analyst shows they have demonstrated exceptional insight into their industry and business as well as leadership among peers. About The Role- Proactively identify and communicate business opportunities and recommendations using data manipulation, programming, statistics and data visualization
- Use data to support and challenge business solutions with executive leadership or other stakeholders
- Work with leaders to define and implement analytics strategy
- Lead design and validation for all phases of research projects, including presentation of results, guiding iterative improvement
- Maintain relationships and alignment among stakeholders to meet objectives
- Define, gather, and validate project data requirements and evaluate data quality
- Evaluate the quality of organizational data sources
- Create and support business intelligence tools, databases, dashboards, reports or methods
- Document technical design standards for reporting solutions to ensure their accurate development
- Identify, document, and use exploratory data analysis to investigate assumptions
- Identify and analyze relevant, external data to monitor the competitive environment
- Stay informed of industry or business trends that pertain to data
- Mentor teammates on any of the above responsibilities
- Bachelor’s degree or equivalent experience in a scientific discipline, mathematics, applied statistics, information technology or a related field
- 6 years of experience or equivalent competency identifying business problems, conducting data experiments, performing statistical analysis and synthesizing findings to guide business decisions
- Expertise leading end-to-end data analysis projects resulting in positive business changes
- Expertise creating data visualizations using modern business intelligence (BI) tools, highlighting insights as relevant
- Expertise with industry-standard statistical analysis tools, such as SAS, R or Python
- Expertise training and mentoring peers
- Expertise creating data sets with advanced SQL or other querying languages and using them to develop business strategies
- Expertise researching data lineage
- Expert knowledge of standard statistical measures, probability theory and both qualitative and quantitative techniques
- Expertise working with data warehouses and/or other data stores
- Experience data mining or using other exploratory techniques
- Expertise working with structured and unstructured data
- Experience building logical and physical data models
- Experience developing standards and processes that increase efficiency and impact
- Deep domain knowledge of multiple business areas
- Comprehensive knowledge of multiple business areas and their data, including industry or other external sources
- Experience developing business-wide standards and processes that increase efficiency and impact
- Experience with big data, machine learning, or data science
- Conceptual understanding of database management
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