115 applicants

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Company

Original Job Post

Alaska Airlines · 1 week ago

Manager, Business Intelligence Developer

Seattle, WA

Full-time

Onsite

Mid, Senior Level

$140K/yr - $210K/yr

5+ years exp

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Airlines and Aviation

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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.

Qualification

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Business IntelligenceData CleansingData QualityRelational DatabasesCloud ComputingSQLPythonSparkData VisualizationTableauCoachingStatistical ModelingMachine LearningMicrosoft OfficeExcelCodingProject ManagementProblem-SolvingLeadershipCommunicationTeamworkAdaptabilityMentoringAzure ToolsDatabricksData FactorySynapseAlteryxSSMS

Required

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.

High school diploma or equivalent is required.

Minimum age of 18.

Must be authorized to work in the U.S.