Sr Analytics Engineer

Job Description
SummaryThe 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 OM 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:

• OM 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:

• 58 yearshands-on OM 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.

Note:To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years'' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.This
Job Description
is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.