Business Intelligence Manager

17 hours ago

Seattle, Washington, United States Alaska Airlines Full time
About the Role

We are seeking a highly skilled and experienced Business Intelligence Manager to join our team at Alaska Airlines. As a key member of our Commercial Data team, you will be responsible for executing on strategy for Commercial data and Enterprise data governance.

Key Responsibilities
  • Lead a team of BI developers and establish priorities to successfully execute Commercial data and Enterprise data governance strategies.
  • Develop people through effective performance management and ongoing feedback, focusing on delegation for stretch assignments, growing and developing the team for capacity and growth, looking at performance across the team, and time management.
  • Shape culture of team through action, presence, and reinforcement of behaviors.
  • Guide the team in adoption of cloud technologies, advise on good design practices and find opportunities to simplify and scale.
  • Develop, construct, test and maintain business critical data pipelines and data architecture.
  • Partner with Business Intelligence Analysts and Data Scientists leaders to develop roadmaps to support their objectives through optimizing existing and new data pipelines to drive business decisions and create value for Alaska Airlines.
  • Partner with Data Services, DBAs, and other technology professionals to deliver data initiatives that support business intelligence, reporting, analytics, and AI/ML.
  • Work closely with business stakeholders to clearly understand their requirements, implement technology solutions, and own the resulting systems.
  • Act as a data steward for core business data and databases and ensures the quality, validity, and ongoing investment in sources are aligned with long-term business needs.
  • Provide subject matter expertise in the understanding and application of Alaska Airlines and Horizon Air's data and analytics.
  • Develop and maintain a platform of self-service Business Intelligence data pipelines and provide actionable insights to stakeholders to drive and sustain business performance.
  • Oversee advanced research and developer projects and present key findings and recommendations to stakeholders and senior leadership.
  • Assist developers in advanced data engineering and optimization techniques.
  • Develop a center of excellence (CoE) for business domain and related technical expertise by providing technical direction, skills development, and mentoring.
Requirements
  • 5 years of business intelligence and/or Analytics experience.
  • 2 years of leadership experience, leading projects, teams, or similar leadership/management.
  • Bachelor's degree, with a focus in mathematics, economics, operations research, finance, statistics, business, computer science, engineering, or a related discipline, or an additional two years of training/experience in lieu of this degree.
  • Detailed knowledge and understanding of business intelligence functions, including analytics, reporting, data cleansing, data quality and relational databases.
  • Advanced experience working with relational databases (e.g., design, structure, and database management functions).
  • Experience with data transformation in cloud-based analytics environments, including data lake and unstructured data environments.
  • Knowledge of distributed computing systems and cloud architecture.
  • In-depth understanding of database principles and experience in querying data from multiple sources using SQL, Python, Spark or other advanced query / database techniques.
  • Knowledge of visualization techniques, dashboard design, and decision support tools (such as Tableau, management systems).
  • Data-driven mindset and a proven history of continuous self-development.
  • Demonstrate experience in coaching and mentoring technical team members.
  • Proven experience working with large, complex data sets and disparate data sources across various platforms (e.g., SQL Server, Informix, Oracle, Access, Postgres, etc.).
  • Advanced SQL skills.
  • Experience with statistical modeling, machine learning, optimization/simulation.
  • Proficiency with Microsoft Office applications (e.g., Word, PowerPoint, and Outlook), with expert Excel skills.
  • Basic proficiency in at least one coding language (e.g., C++, C#, VBA, Python, R).
  • Excellent communication skills, including experience presenting to senior leadership and communicating complex ideas to management.
  • Experience managing ambiguous problems and converting into actionable timelines / plans through other teams.
  • Demonstrated project management experience.
Preferred Qualifications
  • Master's degree.
  • 2+ years of airline/transportation/logistics experience.
  • Experience with Azure tools (mainly Databricks, Data Factory and Synapse).
  • Tableau, Alteryx and SSMS or similar.
Leadership Expectations

We are looking for a leader who embodies our values to own safety, do the right thing, be kind-hearted, deliver performance, and be remarkable. You will create a diverse and inclusive culture where all employees feel safe, included and where they belong.

Salary and Benefits

Pay will be based on multiple factors, including and not limited to location, relevant experience/level and skillset while balancing internal equity relative to other Alaska/Horizon employees. Alaska/Horizon is committed to fair, unbiased compensation along with competitive benefits in all locations in which we operate.

We offer a comprehensive well-being program, including medical, dental and vision benefits, generous 401k match program, quarterly and annual bonus plans, and generous holiday and paid time off.

Equal Employment Opportunity

We are proud to be an Equal Employment Opportunity (EEO) and Affirmative Action (AA) employer that is committed to diversity, equity, and inclusion. We take affirmative action to ensure equal opportunity for all qualified applicants and employees and do not discriminate based upon race, color, religion, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disability status, genetic information (including family medical history), political views or activity, or other legally protected characteristics.

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