Sr. Analytics Engineer

Job Description Summary

• The Sr Analytics Engineer combines hands-on operations and maintenance expertise with data analytics to improve reliability, availability, efficiency, and safety across industrial assets
• You will lead assigned workstreams to translate failure modes and maintenance strategies into actionable analytics using time-series data from historians/SCADA/CMMS/EAM systems
• The role focuses on fixed and rotating equipment such as boilers, transformers, turbines, pumps, and compressors, applying FMEA, Root Cause Analysis (RCA), and condition-based maintenance (CBM) techniques
• SmartSignal or similar product experience is highly preferred
• Candidates must have 58 years of on-the-ground O&M experience in Oil & Gas, Fossil Power, or Renewable Power, and be proficient in Python with working knowledge of SQL and/or R
• Reliability engineering knowledge is a strong plus

Job Description

Roles and Responsibilities

• Translate asset strategies and failure modes into analytics: identify critical tags/signals, define data requirements, and map sensor data to failure mechanisms and operational states.
• Perform time-series analysis on industrial data (historian/SCADA/PLC, CMMS/EAM/APM) to detect degradation, anomalies, and precursors to failure; engineer features aligned to specific failure modes.
• Build and validate analytics in Python (rules, thresholds, statistical/ML methods) to capture early warning indicators for CBM and predictive maintenance; document assumptions and acceptance criteria.
• Apply and document FMEA and RCA; collaborate with SMEs to define detection logic and corrective/preventive actions (CAPA) tied to operating procedures and maintenance plans.
• Configure and support deployment of asset health analytics in APM/condition monitoring platforms (e.g., SmartSignal or equivalent), including tag mapping, thresholds, alert logic, and tuning; support monitoring and continuous improvement.
• Partner with data/platform engineering and data scientists to implement pipelines, ensure data quality/lineage, and operationalize analytics per established standards.
• Create clear narratives and playbooks linking alerts to failure mechanisms and recommended actions; train operations/maintenance teams on interpretation and response.
• Contribute reusable templates (FMEA libraries, failure signatures, tagging standards) and coach junior engineers/analysts on asset analytics best practices.
• Adhere to governance, safety, and compliance requirements; ensure secure handling of operational data and alignment with plant procedures and SLAs.

Education Qualification

• For roles outside USA: Bachelors Degree in Engineering (Mechanical/Electrical/Instrumentation) or STEM with minimum 8 years of total experience, including 58 years of hands-on operations and maintenance experience in Oil & Gas, Fossil Power, or Renewable Power.
• For roles in USA: Bachelors Degree in Engineering (Mechanical/Electrical/Instrumentation) or STEM with minimum 8 years of experience.

Desired Characteristics

Technical Expertise:

• O&M analytics: time-series analysis, feature engineering, degradation and anomaly detection; ability to link patterns to specific failure modes and operating regimes.
• CBM methods: vibration analysis, lube oil analysis, motor current signature analysis (MCSA), dissolved gas analysis (DGA), temperature/pressure trends; understanding of sensor selection, sampling, and alarm strategies.
• Tools and platforms: strong Python for analytics; working knowledge of SQL and/or R; experience with APM/condition monitoring systemsSmartSignal highly preferred (or equivalent such as AVEVA PRiSM, Aspen Mtell, Seeq).
• Asset knowledge: fixed and rotating equipment (boilers, transformers, turbines, pumps, compressors); understanding of asset lifecycle, maintenance strategies (RCM/PM), and work management processes (CMMS/EAM).
• Data practices: industrial data acquisition and tag mapping; data quality assessment/cleansing; documentation and reproducibility of analytics.

Domain Knowledge:

• 5-8 years hands-on O&M experience in at least one of Oil & Gas, Fossil Power, or Renewable Power; deep understanding of failure modes/mechanisms, operating envelopes, and maintenance practices.
• Proficiency in FMEA and Root Cause Analysis; knowledge of corrective and preventive actions and how they translate to SOPs/maintenance plans.
• Reliability domain knowledge preferred: Weibull and survival analysis, RGA/Crow-AMSAA, spare parts/PM optimization; familiarity with standards and KPIs (MTBF, MTTR, availability).

Certifications:

• Required: CMRP (from SMRP) and/or ASQ Certified Reliability Engineer (CRE).
• Additional OEM, vibration (e.g., ISO Cat I/II), or thermography certifications are a plus.

Leadership:

• Operates with some autonomy within standard practices; leads workstreams as an individual contributor and provides informal guidance to junior team members.
• Collaborates effectively with maintenance, operations, engineering, and data teams; communicates trade-offs and recommendations clearly to drive adoption.
• Applies structured problem solving and continuous improvement; proposes options beyond set parameters with guidance when needed.

Personal Attributes:

• Field-oriented mindset with strong safety focus; pragmatic and customer-centric.
• Curiosity and initiative to connect asset behavior with data signals; comfortable working through ambiguity and iterating with feedback.
• Strong written and verbal communication; creates clear runbooks/playbooks and presents to cross-functional stakeholders.