Analyst, Business Intelligence & Analytics

Website Minnesota Twins

Position Overview

As¬†Analyst, Business Intelligence & Analytics, you will play a key role in the execution of data initiatives to accelerate the Club’s business performance and growth. You will leverage your technical expertise to build and maintain data pipelines, analyses, reports/dashboards, and statistical models that influence key business decisions. You will partner closely with cross-functional stakeholders to facilitate data-driven insights across ticket sales, operations, marketing, and other facets of the Twins’ business operations.

Essential Duties & Responsibilities

  • Develop business intelligence dashboards, reports, data analyses, and tools aimed at enhancing the organization’s revenue, operational, and financial performance by collaborating with key internal stakeholders from across the business organization.
  • Perform exploratory data analysis to support key business decisions with critical data insights by writing advanced SQL queries to extract data from internal databases.
  • Create compelling data visualizations that enhance end-user understanding. Lead design thinking, prototyping, and stakeholder discovery processes to build intuitive front-end dashboards.
  • Build statistical models based on internal and external data to support attendance forecasting, operational planning, dynamic ticket pricing, and customer segmentation.
  • Conduct data wrangling to transform raw data from disparate databases into clean, structured data prepped for analytical use.
  • Partner with IT stakeholders to develop automated data pipelines, maintain advanced data warehouse tools, and ensure data accuracy and integrity.
  • Provide Tier 1 support, maintenance, administration, and governance to key end-user data tools, including Tableau Server and other internal data environments.
  • Build strong relationships with internal cross-functional stakeholders, MLB contacts, industry peers, and external partners.

Required Experience & Education

  • Bachelor’s Degree in math, engineering, data science, business administration, or related field
  • 2+ years of experience in business intelligence, data analytics, data science, or a similar field
    Required Knowledge, Skills, and Abilities
  • Strong knowledge of SQL with the ability to write advanced queries
  • Prior experience in data visualization tools (Tableau preferred) and dashboard development
  • Prior experience in Python, R, or similar statistical programming language
  • Prior experience with business analysis and gathering requirements
  • Advanced proficiency in Microsoft Excel and other Microsoft Office applications
  • Strong understanding of relational databases and data structures
  • Exceptional analytical and problem-solving skills

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