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Principal BI/Data Engineer I - Fort Worth, United States - First Command
Description
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 position will serve as a cross functional liaison bridging the gap between data engineering, architecture, and analytics solution delivery teams.
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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