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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst / Scientist - **Company:** Solaris Energy Infrastructure - **Location:** Houston, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Computerized Maintenance Management Systems, Databases, Failure Mode Effects Analysis, Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), Operational Data Store, Reliability Engineering, Power BI, Cloud Services, Solaris (Operating System), SQL Databases, Tableau (Software), Delivery Pipeline, Pandas, Scikit Learn, Information Technology, Data Pipelines - **Published:** August 7, 2026 - **Apply:** https://www.disabledperson.com/jobs/74052802-data-analyst-scientist ## About the Role * Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or related field (or equivalent experience) * 2-5 years of experience in data analysis, with exposure to industrial/energy/manufacturing operations preferred * Proficiency in SQL and Python (pandas, scikit-learn, or similar) * Experience building dashboards (Power BI, Tableau, or similar) * Strong understanding of statistical analysis and predictive modeling techniques * Ability to communicate technical findings to non-technical stakeholders * Familiarity with time-series forecasting, anomaly detection, or condition-based monitoring techniques * Experience with SCADA/historian data (OSIsoft PI, or similar) * Exposure to reliability engineering concepts (MTBF, RCM, FMEA) * Experience with cloud data platforms (Azure, AWS) and ML deployment pipelines, * Exceptional communicator - direct and transparent, skilled problem-solver with proven success in building coalitions and avoiding conflicts * Total ownership mentality - proactively identifies and removes obstacles across numerous ongoing tasks * Independent thinker - provides original thoughts and constantly asking "how can we do this better" * Innovative thinker - willingness to consider novel solutions and ability to adapt to change * Desirable teammate - impeccable character, humility, and collaborative * Relentless - aspires to contribute and achieve his/her full potential ## Description Reporting & Business Analytics * Build and maintain P&L dashboards tracking turbine fleet financial performance, availability, and cost drivers * Translate operational data into clear financial and operational KPIs for engineering and business leadership * Support monthly/quarterly reporting cycles with accurate, timely data Downtime & Reliability Data * Collect, clean, and structure turbine downtime data from SCADA, CMMS, OEM reporting, and field logs * Classify and root-cause downtime events (mechanical, electrical, control system, weather, grid-related, etc.) * Maintain a reliable, queryable historical database of outage and maintenance events across the fleet Predictive Analytics & AI Tools * Develop and deploy predictive models (ML-based and statistical) to forecast turbine downtime and component degradation ahead of failure * Build anomaly detection and early-warning tools using sensor/operational data (vibration, temperature, pressure, combustion parameters, etc.) * Work with engineering to validate model outputs against physical failure modes and OEM guidance * Iterate on models as new failure data becomes available; track model performance over time Reliability Improvement Support * Partner with the Reliability Manager and engineering team to identify trends driving forced outages and derates * Support root cause analysis (RCA) efforts with data-driven insights * Recommend maintenance interval or strategy adjustments based on data trends (RCM/predictive maintenance support) Cross-Functional Collaboration * Work closely with Operations, Engineering, and Asset Management to ensure data pipelines reflect real-world turbine conditions * Present findings to technical and non-technical stakeholders, including leadership ## Related Videos - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [A Guide to Green Tech and Green IT Careers](https://www.wearedevelopers.com/magazine/374-a-guide-to-green-tech-and-green-it-careers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)