Analytics Engineer

Are you passionate about enabling business professionals to perform advanced analytics and use state of the art tools like Power BI, Databricks, and Azure Synapse? Does being creative and innovative at work inspire you to share your talents and lead by example? If so, we’ve formed a recognized, industry-leading team to transform the analytics capabilities within Phillips 66 and we’re looking for a new team member.

The Analytics Engineer (SAP) will join the Analytics & Reporting COE team to continue our mission to enable advanced data analysis and visualizations throughout the enterprise. This position will report to the Director, Analytics & Reporting COE and be a recognized technical resource with a focus on designing & developing data models & data visualizations. This role works with business experts, data architects and data analysts while using a combination of business strategy and technical data knowledge to translate complex information into analytics solutions for the business users. The Analytics Engineer (SAP) will be part of the Analytics & Reporting COE team that supports the enterprise reporting and analytics needs by providing standards & governance, learning opportunities, change management, infrastructure, tools, security, and data access while also creating and supporting critical data assets.

Responsibilities May Include:

Leverage understanding of data analysis principles and formulas to create effective, accurate and concise models that communicate the information and meaning of a dataset.
Showcase data modeling and aggregation skills to generate accurate models and communicate effectively through visual representations.
Visualize data effectively and choose the right chart & visualization to display the key performance indicators.
Communicate with data engineers, analysts, clients and executives through both verbal communication and visual representations while ensuring that everybody on the team has the same information and understanding to create a consistent and effective result.
Create dev-ops pipeline and experience in agile methodologies.
Develop, monitor, and implement governance, standards, and practices to enable P66 to have secure, sustainable, and reliable reporting and analytics.

Basic/Required Qualifications:

Legally authorized to work in the job posting country.
Bachelor’s degree
5 or more years of IT or analytics related experience
3 or more years of experience working with cloud-based platforms in an enterprise environment.
2 or more years of experience in building data models on SAP modules (Finance, Sales & Distribution and Procure 2 Pay)
Experience in designing and building data models leveraging Azure data platform (Azure Synapse, Databricks, Delta Lake)
Expert in designing dashboards and reports in Power BI, SAP Analytics Cloud or Tableau

Preferred Qualifications:

Bachelor’s degree in computer science, Engineering, or relevant field
Experience with SQL or Python programming language
Strong understanding of data warehousing techniques
Experience in cloud data platforms like Databricks, Azure Synapse, Azure Data Factory and Power BI
Cloud certifications (Power BI, Tableau, Azure Data Engineer, or SAP Analytics Cloud certification)
Significant and relevant Oil & Gas or technical industry experience, especially downstream
Experience with pipeline, build/release, and CI/CD deployment of data pipelines (Azure Devops, Git)
Strong written, verbal, and presentation skills to effectively communicate to both technical and non-technical audiences adjusting style to fit the target audience including multiple levels of management.

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