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    Business Intelligence Engineer I - Fort Worth, United States - First Command Financial Services, Inc.

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    Description

    How will your role impact First Command?

    The Business Intelligence Engineer I will generate insights that impact decision making in the enterprise. This will be achieved through collaboration with direct business leaders to define analytic needs, deliver end-user solutions, and provide ongoing partnership for ad-hoc analysis and predictive analytics.

    The BI Engineer I will use new analytics tools, Information Architecture strategy, frameworks, critical thinking, and problem-solving skills to partner with the First Command lines of business to rationalize data needs that are critical to our data transformation.

    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 and Data Governance outcomes.

    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
  • Compose insights and provide business data interpretation into a relatable presentation/story dependent on scope and audience
  • Complete data exploration and profiling by leveraging data analysis, design, and presentation tools
  • Implement and act on the recommendations, outcomes and designs from Data Governance, Data Engineering, and Enterprise Architecture
  • Collaborate on the design, development, and maintenance of the enterprise information architecture for metrics, reports, analysis, and dashboards to drive consistency in the analytics approach
  • Develop analysis and reporting capabilities to implement the data lifecycle, considering how data is created, transformed, stored, archived, analyzed, and shared in the organization
  • Implement methods to include unstructured and big data, such as social media, emails, pictures, videos, voice and sensor data, client surveys and feedback
  • Partner with Data Engineering, 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
  • What skills/qualifications do you need?

    Education

  • BA\BS required; MBA or MS or equivalent a plus
  • Work Experience

  • 1-3 years of applied experience in analytics, business analysis or comparable positions that handle large/complex data sets, developing metrics, and fostering business partner relationships
  • Certifications

  • Certifications related to Analytics (e.g., Power BI, Alteryx, Tableau) preferred; Power BI Data Analyst Certification will be required within 90 days if not already achieved
  • Required Knowledge, Skills and Abilities

  • Proficient with visualization & data story telling using tools such as ThoughtSpot, PowerBI (preferred), Tableau
  • Proficiency in SQL with knowledge of T-SQL and PL/SQL
  • Proficient in advanced excel techniques and model development
  • Applied experience transforming manual processes to industry standards
  • High communication skills are required to review, analyze, and evaluate user needs to effectively meet analysis requirements
  • 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
  • Requires excellent analytical ability, attention to detail, and proven ability to work independently and in a team
  • Ability to quickly adapt to changing priorities and generate innovative solutions
  • Demonstrated understanding in conceptual and logical data design
  • Demonstrated understanding of data management practices and data governance process; familiarity with data governance tools such as Azure Purview
  • Demonstrated understanding of data mapping and lineage strategies
  • Demonstrated understanding of data modeling techniques such as 3rd normal form and star schema
  • Demonstrated understanding of digital marketing and operational analytics
  • Preferred Qualifications

  • Financial services industry experience or other highly regulated industry experience a plus
  • Applied experience in Agile, SAFe, Scrum or Lean Six Sigma
  • Certifications related to Data Analytics a plus
  • Strong understanding in analytic solutions for unstructured data
  • Familiar with building analytics solutions in a cloud data architecture, experience with Azure Data Solutions including Azure Databricks a plus
  • Familiarity with analytics process automation tools such as Alteryx
  • Familiarity with Machine Learning and modeling techniques using Python, R, and/or Scala
  • Familiarity with object-oriented programming and the software development process
  • Familiarity with source control tools such as git
  • Familiarity with statistical analysis and research techniques
  • Experience with building Salesforce/Analytics CRM solutions
  • #LI-NC1



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