Business Intelligence Engineer

Job Description

How will your role impact First Command?

The Business Intelligence Engineer I will generate insights that impact decision making in the enterprise. As part of the Enterprise Data & Analytics Team, the BI Engineer I will have the opportunity to shape business intelligence practices based on the Enterprise Data and Analytics strategy.

The BI Engineer I will use analytics tools, critical thinking, and problem-solving skills to partner with the First Command lines of business to deliver the insights needed to drive the operational efficiency of the business.

The ideal candidate is outcome-focused and has a collaborative style that fosters teamwork. They will be required to work across multiple groups and initiatives.

What will you be doing?

• Deliver analytics solutions that help drive key business decisions and operational efficiency
• Collaborate with business stakeholders to develop an understanding of their analytic requirements and operational processes
• Implement and act on the recommendations, outcomes and designs from Data Governance and Enterprise Architecture;
• Develop analysis and reporting capabilities to implement the data lifecycle, considering how data is created, transformed, stored, archived, analyzed and shared in the organization
• Complete data exploration and profiling by leveraging data analysis, design and presentation tools
• Partner with Information Technology and business unit groups to develop and implement comprehensive information and business insights solutions to provide consistent, clean and integrated data that enables self-service analytics
• Implement methods to include unstructured and big data, such as social media, emails, pictures, videos, voice and sensor data, client surveys and feedback

What skills/qualifications do you need?

Education

• BABS preferred; MBA or MS or equivalent a plus.

Required Qualifications

• 2+ years of applied experience in analytics, business analysis or comparable positions that handle large/complex data sets, developing metrics, and fostering business partner relationships
• Excellent written communication and presentation skills
• High proficiency in SQL
• Proficiency in at least one analytics platform such as Tableau or Power BI (preferred)
• Ability to quickly adapt to changing priorities and generating innovative solutions
• Applied experience transforming manual processes to industry standards
• Demonstrated understanding of data mapping and lineage strategies
• Demonstrated understanding in conceptual and logical data design
• Demonstrated understanding of data management practices and data governance process
• Demonstrated understanding of digital marketing and operational analytics
• Demonstrated understanding of data modelling techniques such as 3rd normal form and star schema

Preferred Qualifications

• Financial services industry experience or other highly regulated industry experience a plus
• Certifications related to Data Analytics a plus
• Applied experience in Agile, SAFe, Scrum or Lean Six Sigma
• Strong understanding in analytic solutions for unstructured data
• Familiarity with analytics process automation tools such as Alteryx
• Familiarity with statistical analysis and research techniques
• Familiarity with Machine Learning and modeling techniques using Python, R, and/or Scala
• Familiarity with the software development process
• Experience with Salesforce Financial Services Cloud, Service Cloud, Sales Cloud and Marketing Cloud

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