Senior Data Analyst

bet365Denver, CO
2hHybrid

About The Position

We are seeking an eager and pragmatic Senior Data Analyst to join our fast-paced team in Denver supporting the US Data Lead. A ‘getting things done’ attitude is pivotal in this role, pairing speed with quality automation and delivery. You will thrive in a collaborative, globally distributed environment, partnering closely with data teams to decipher complex data and build compelling narratives that drive business value. The ideal candidate is results-driven, proactive, and highly effective at transforming datasets into actionable insights that inspire decision-making at every level. The listed salary for this position is $120,000-$150,000 annually.

Requirements

  • Experience working in an agile, startup-type business, demonstrating adaptability and a bias for action.
  • Proven ability to set technical direction and standards, including making technical solution decisions, evaluating products, running proofs of concept, and educating technical team members.
  • Ability to coach and mentor less senior team members in both technical and analytic domains.
  • Strong advocacy for self-service analytics, empowering business teams with the tools and data needed to become more data-driven and agile.
  • Excellent problem-solving skills with a knack for quickly identifying gaps and finding, curating, and presenting the right data to help business teams exceed their goals.
  • Hands-on experience with Google BigQuery (data lake and data warehouse) and SQL.
  • Excellent knowledge and skills with data visualisation tools such as Power BI and Looker.
  • Demonstrated interest and experience in leveraging AI to accelerate solution delivery, as well as building AI-driven solutions for business teams.
  • Comfortable working at the intersection of data engineering, data warehousing, and data visualisation, with a primary focus on storytelling and presentation.
  • Strong understanding of core data concepts, including data lakes and data warehouses, with the ability to bridge technical and business domains.

Responsibilities

  • Excel in technical delivery by producing clear, transparent, accurate, and secure solutions with a strong emphasis on speed and data security.
  • Automate data processes to streamline workflows and minimize manual interventions.
  • Collaborate with global and cross-functional teams, ensuring effective communication and seamless project execution.
  • Transform data into compelling stories and visualisations that inform and empower stakeholders.
  • Uphold rigorous standards for data quality, integrity, and security throughout all phases of project delivery.
  • Identify opportunities to improve analytical processes and implement best practices for scalable, sustainable solutions.
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