How Will Your Role Impact First Command?

The Principal BI Engineer I will be responsible for the design and implementation of analytics solutions across the enterprise. As part of the Enterprise Data & Analytics Team, the Principal BI Engineer will have the opportunity to shape the culture of analytics practices.

The Principal BI Engineer will use our business intelligence platform and industry best practices to partner with the First Command business owners to rationalize data needs that are critical to our path to business agility. This role will also drive the adoption of self-service analytics across the organization. 

This position will serve as a cross functional liaison bridging the gap between data engineering, architecture, and analytics solution delivery teams.

What Will You Be Doing?

• Develop capabilities to improve time-to-answer through an analytics lifecycle, considering how business objectives are defined all the way through business adoption of quality solutions
• Lead the design, development, and maintenance of analytics tools
• Influence and develop recommendations, outcomes, and designs with Data Governance and Data Architecture
• Influence the process for making data architecture decisions, primarily to support how insights are delivered to the business to drive decision making
• Partner with Data Engineering, Information Technology, and business unit groups to ensure quality data solutions are built that provide consistent, clean, and integrated data
• Explore & design methods to include unstructured and big data, such as social media, emails, pictures, videos, voice and sensor data, client surveys and feedback
• Complete data exploration and profiling by leveraging data analysis, design, and presentation tools
• Identify and evaluate business impacts from strategic initiatives within the enterprise
• Deliver analytics solutions that help drive key business decisions and operational efficiency
• Collaborate with business stakeholders to develop an understanding of their business requirements and operational processes
• Coach the enterprise in data literacy and analytics best practices

What Skills/Qualifications Do You Need?

Education

• BA\BS required; MBA or MS or equivalent preferred
• Certifications related to Analytics and Data Engineering preferred

Required Qualifications

• 10+ years of applied experience in building analytics solutions, data engineering, business analysis, or comparable positions that handle large/complex data sets, developing metrics and visualizations, and fostering business partner relationships
• Expert in building analytics solutions in a cloud data architecture, experience with Azure Data Solutions including Azure Databricks a plus
• Expert in SQL with advanced data analysis & data profiling techniques
• Expert in understanding in conceptual, logical, and physical data design
• Expert with visualization & data story telling using tools such as ThoughtSpot, PowerBI (preferred), Tableau
• Strong understanding of data management practices, data architecture principles, and data governance process; experience with data governance tools such as Azure Purview
• Applied experience with data modeling techniques such as 3rd normal form and star schema
• Proficient in ETL tools such as SSIS, Azure Data Factory (preferred) or Informatica
• Proficient with source control tools such as git
• Applied experience in Agile, SAFe, Scrum or Lean Six Sigma
• Ability to identify and drive adoption of process and technology improvement/innovation across the team
• High communication skills are required to review, analyze, and evaluate user needs to effectively meet analysis requirements 
• Ability to be a self-starter and take initiative to achieve tangible results from a conceptual strategy
• Comfort with ambiguity and proven ability to generate innovative solutions
• Ability to quickly adapt to changing priorities and generate innovative solutions
• Must possess strong communication/interpersonal skills and leadership skills, and be able to deliver news that may be sensitive, and/or confidential, in a professional manner 

Preferred Qualifications

• Expert in understanding of data mapping and lineage strategies
• Expert with analytics process automation tools such as Alteryx
• Financial services industry experience or other highly regulated industry experience a plus
• Experience with building Salesforce/Analytics CRM solutions
• Experience with Salesforce Financial Services Cloud, Service Cloud, Sales Cloud and Marketing Cloud
• Proficient with Machine Learning and modeling techniques using Python, R, and/or Scala
• Proficient with object-oriented programming and the software development process

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