Data Analyst The Opportunity <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Data Analyst at a growth-oriented energy company</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Leverage modern cloud and AI tools to drive data-driven decisions across Supply Trading, Refining, Logistics, Retail, and Finance operations on Google Cloud Platform.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Design and implement scalable data models and analytics solutions that deliver actionable insights across the enterprise.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Reporting to the Director, Enterprise Data and Applications, you will be responsible for building, maintaining, and governing analytical data solutions that serve operational, commercial, and financial teams across Par Pacific.</li> </ul> Key activities include: <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Build and maintain data pipelines and analytical models on Google Cloud Platform (GCP), utilizing tools such as BigQuery, DataFusion, DataStream, and Cloud Storage.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Utilize data mining techniques and develop data models (dimensional, relational, or semantic) to support scalable and reusable analytics across business domains.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Support data integration and analytics from different ERP’s (SAP BW/4HANA preferred), ensuring alignment between enterprise data and cloud-based analytical environments.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Partner with business leads to fulfill analytic and reporting requests as the domain data resource reference; assist in creating and supporting a self-service style analytics platform among stakeholders.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Develop standard or custom reports, queries, or dashboards that access and consolidate information from a variety of data sources and provide ongoing support for data users.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Write efficient, complex SQL queries to extract, transform, and analyze large datasets from multiple sources.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Support AI initiatives and apply statistical analysis and machine learning techniques to identify trends, forecast outputs, and support predictive initiatives.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Automate recurring reporting tasks and data workflows using Python.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Ensure data quality, consistency, and governance across all analytical outputs.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Present findings and recommendations to both technical and non-technical stakeholders in a clear and compelling manner.</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Identify opportunities for process improvement and stay current on emerging data and AI tools and best practices.</li> </ul> Note: This description is intended to give you a general overview of the position. Additional responsibilities and opportunities may be identified based on current business needs. Qualifications To meet the basic qualifications for this role, you will have legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorship. Additional qualifications include: <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">High School Diploma or equivalent required; Bachelor’s degree in Data Science, Information Systems, Statistics, Engineering, Computer Science, or a related field preferred</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Minimum 3 years’ of hands-on experience in a data analyst or similar role, preferably within oil & gas, energy, retail, or a related industry, required</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Experience building dashboards and visualizations in Looker and Power BI required</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Working knowledge of Google Cloud Platform (GCP), particularly BigQuery, including data modeling and performance tuning, required</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Proven experience in data modeling — including dimensional modeling (star/snowflake schemas), entity-relationship design, and semantic layer development — required</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Strong proficiency in SQL for data querying and manipulation required</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Experience with LookML for Looker dashboard development required</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Proficiency with Python for data analysis and workflow automation required</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">A proven ability to use data, analytics, and business knowledge to solve business problems, including:</li> </ul> <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Translating complex datasets into clear, actionable narratives for non-technical audiences</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Identifying trends, anomalies, and opportunities through exploratory analysis</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Delivering analysis that directly supports operational or financial decision-making</li> </ul> <ul style="margin-bottom:0.0in;margin-top:0.0px"> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Familiarity with supply trading, refining, logistics, retail, or finance data types (e.g., Retail data, SAP extracts, operations feeds) preferred</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Experience with Apache Airflow or other data orchestration tools preferred</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">Experience with statistical tools and predictive analytics is highly preferred</li> <li style="margin:0.0in 0.0in 0.0in 0.0px;line-height:normal;font-size:11.0pt;font-family:Calibri, sans-serif">GCP Professional Data Engineer or equivalent certification preferred</li> </ul> About Us At Par Pacific, we own and operate market-leading energy and infrastructure businesses in logistically complex markets. We have built a team of downstream industry veterans and subject matter experts to lead our organization with an entrepreneurial spirit and a collaborative, problem solving approach. We bring our diverse strengths and motivation to complex markets where we seek out diamonds in the rough. As a nimble, growing organization, we actively pursue new opportunities with corporate financing know-how, respond to local market demands, and adapt to changing external environments. More Good Reasons to Work for Par Pacific Unique Culture There is nothing ordinary about Par Pacific -- a niche player in the energy space. And there's certainly nothing ordinary about Par Pacific employees. We are driven, hardworking, entrepreneurial-minded professionals who love to win. If that describes you, you'll fit right in. Location, Location, Location Because Par Pacific operates in some of the most beautiful places throughout the country, our employees get to make these places their home and enrich their lives. The office where you'll work is in the CityCentre in Houston, Texas, located on the west side of Houston near I-10 and the Sam Houston Tollway. It's a vibrant area of the city with plenty of places for lunch or to wind down after work. Opportunistic Growth Strategy At Par Pacific, we look for operations with strong fundamentals and great employees who can move a business forward. Our management team has deep experience in the energy industry, as well as in leading mergers, acquisitions, and integrations of newly acquired companies. Focused on the Future We are an energy company that has recognized the imperative and embraced the opportunity to begin the transition from fossil fuels. We are developing products that help reduce greenhouse gas emissions. Excellent Compensation and Benefits In addition to a competitive salary, we offer a strong comprehensive benefits package that includes medical, dental and vision insurance, a robust allotment of paid time off, a 401(k) with company match, retirement savings plans, educational reimbursement, and more. Full-time employees (and their families) are offered medical (with prescription coverage), dental, vision, voluntary critical illness, accident, life/AD&D insurance, Flexible Spending Account and Employee Assistance Program. Employees can purchase company stock at discounted prices through the Employee Stock Purchase Program. Our Headquarters Par Pacific Holdings, Inc., based in Houston, Texas, owns, manages and maintains interests in energy and infrastructure businesses. We are a growing energy company focused on renewable and conventional fuels in the Western United States. Par Pacific also owns 46% of Laramie Energy, LLC, a natural gas production company with operations and assets concentrated in Western Colorado. Our common stock is publicly traded on the NYSE under the trading symbol "PARR". Our Refineries and Logistics Operations We own and operate refineries in Hawaii, Montana, Washington, and Wyoming, with total operating throughput capacity of over 219 Mbpd. Par Pacific owns and operates one of the largest energy networks in Hawaii with 94,000 bpd of operating refining capacity, a logistics system supplying the major islands of the state and 90 retail locations. In the Pacific Northwest and the Rockies, Par Pacific owns and operates 124,000 bpd of combined refining capacity and related multimodal logistics systems. Our Retail Operations We own and operate over 90 retail locations in Hawaii under the Hele and 76 brands and over 30 retail locations in Washington and Idaho under the nomnom brand. Par Pacific Is an Equal Opportunity Employer Par Pacific prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, genetic information or any other status protected by applicable law. Note: Par Pacific will not accept calls or unsolicited resumes from third-party recruiters. All candidates are required to apply through this web posting.

Data Analyst (Houston, TX, US, 77024) @ Par Pacific Holdings

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