Mckeil Marine Limited-posted 2 months ago
Mid Level
Tulsa, OK

As a Data Analyst, you have a strong grasp of how data is shaped, transformed, and delivered within modern business intelligence environments. You play a key role in building data foundations, designing robust models, and developing reporting solutions that provide clear, actionable insights. This role offers the opportunity to take ownership of end-to-end BI solutions, collaborate across diverse teams, and help shape the evolution of data analytics within our business. This is an opportunity to shape how data is used across a growing maritime business - building the foundation for a more data-driven future and directly supporting strategic decision-making.

  • Prepare and transform data using Power Query (or equivalent tools), combining multiple sources - including SQL databases, Excel files, and web feeds - into clean, analysis-ready models.
  • Design and build scalable data models in Power BI, implementing advanced business logic with DAX to support KPIs, time intelligence, and dynamic calculations.
  • Develop and maintain end-to-end BI solutions, from ingestion pipelines through to semantic models and interactive dashboards.
  • Write and interpret SQL queries to extract and integrate data from relational databases.
  • Optimize data refresh processes, model performance, and DAX calculations to ensure reliability and efficiency.
  • Collaborate with cross-functional teams - including operations, finance, commercial, and IT - to define reporting requirements and deliver intuitive, business-focused dashboards.
  • Communicate complex analytical findings clearly to both technical and non-technical audiences, supporting decision-making at multiple levels of the organization.
  • Contribute to data governance standards, documentation practices, and the development of analytics best practices.
  • Provide informal leadership and guidance to colleagues, sharing knowledge and promoting data literacy across the business.
  • Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • 5+ years of experience in data analytics, business intelligence, or a related role.
  • Proven expertise with Power Query and Power BI in a Microsoft-centric environment.
  • Strong command of DAX for building calculated columns, measures, and complex data models.
  • Experience designing and implementing robust, scalable data models.
  • Working familiarity with SQL for data extraction and integration.
  • Demonstrated ability to deliver end-to-end BI solutions that translate raw data into meaningful insights.
  • Strong collaboration skills and experience working cross-functionally with diverse teams to deliver analytics solutions aligned to business needs.
  • Excellent communication skills, with the ability to explain complex data concepts clearly and concisely to technical and non-technical audiences.
  • Proven ability to influence decisions and promote a data-driven culture through insight and storytelling.
  • Postgraduate qualifications or relevant certifications (e.g. Microsoft Certified: Data Analyst Associate, Azure Data Engineer Associate) are considered strong assets.
  • Experience with Azure Data Factory, Power Query, and other ETL/ELT tools for building and automating data pipelines.
  • Familiarity with data warehousing concepts such as star schema design and slowly changing dimensions.
  • Experience with Azure Data Lake and Synapse Analytics for scalable storage and analytical processing.
  • Knowledge of Python or R for advanced analytics, automation, or data quality checks.
  • Experience with Git or Azure DevOps for managing BI artefacts and data projects.
  • Experience integrating third-party data sources using REST APIs and web data.
  • Very competitive total compensation program.
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