Senior Data Analyst

Senior Data Analyst (Gas Engineering) is a hybrid role based in Waltham, MA, focused on advancing data management maturity, analytics capabilities, GIS utilization, and technology enablement across Gas Asset Management & Engineering (GAME).

Responsibilities

• Drive improved utilization of connected data across Snowflake, GIS, Enterprise Maximo, risk model platforms, reporting environments, and related systems.
• Define business and analytical requirements for data integration, interoperability, pipelines, interfaces, and reusable data models.
• Identify data silos, reconciliation points, and manual handoffs; partner with IT and data engineering teams to implement sustainable improvements.
• Promote end-to-end traceability from source data through analytical outputs and business decisions.
• Expand GIS usage from mapping and visualization to spatial analysis, workflow enablement, asset intelligence, and decision support.
• Develop geospatial analytics supporting asset management, risk models, leak management, integrity activities, regulatory needs, and capital planning.
• Improve GIS data quality and usability, including attribution, connectivity, topology, and location accuracy, in partnership with data owners and GIS teams.
• Design reusable GIS-enabled tools, maps, dashboards, analyses, and automation to improve engineering and operational workflows.
• Identify opportunities where coding, automation, integration, low-code tools, or emerging technology can remove non-value-added work and improve control effectiveness.
• Design, code, test, document, deploy, and maintain reusable scripts, applications, workflows, and analytical tools using approved technologies.
• Automate data extraction, transformation, validation, quality checks, GIS analysis, reporting, and repeatable business processes.
• Develop proofs of concept and pilots, defining value, controls, support needs, and transition paths for scalable solutions.
• Use sound development practices, including modular design, version control, testing, documentation, monitoring, and knowledge transfer.
• Build advanced analysis, dashboards, KPIs, and executive scorecards supporting asset, risk, investment, compliance, and operational decisions.
• Perform data profiling, root-cause analysis, trend analysis, and scenario analysis to identify risks and improvement opportunities.
• Create repeatable analytical processes and self-service capabilities to improve consistency, speed, and transparency.
• Translate complex data into clear findings, recommendations, and decision-ready stories.
• Engage stakeholders to define business outcomes, requirements, priorities, success measures, and sustainment needs.
• Communicate analytical findings, data risks, solution options, and technology opportunities to technical and non-technical audiences.
• Develop business cases, roadmaps, recommendations, and implementation plans for leadership consideration.
• Act as a trusted advisor connecting business, data, GIS, and technology communities.

Requirements

• Bachelor’s degree in Engineering, Computer Science, Data Analytics, Information Systems, Statistics, Mathematics, GIS, or a related field.
• Minimum 3+ years of experience in analytics, business intelligence, data strategy, engineering analytics, GIS, automation, or a related discipline.
• Proven experience delivering analytics, reporting, coded solutions, automation, or technology-enabled business improvements.
• Experience working with enterprise data platforms, complex datasets, and cross-functional stakeholders.
• Experience leading workstreams, projects, requirements development, or continuous improvement initiatives.
• Skills and experience with SQL; Power BI; Snowflake; advanced Excel; data modeling; data governance; data quality management.
• Experience with Python; scripting; APIs and web services; Git/version control; Power Apps; Power Automate.
• Experience with ArcGIS Pro; ArcGIS Enterprise; ArcPy; spatial analytics; Enterprise Maximo; utility asset data.
• Knowledge of ETL/ELT concepts; data pipelines; system interoperability; Azure data services.
• Experience with AI and generative AI applications, machine learning fundamentals, intelligent document extraction, and risk analytics platforms such as Synergi (or equivalent).

Technologies

• Snowflake
• GIS
• Enterprise Maximo
• SQL
• Power BI
• Excel
• Python
• APIs and web services
• Git/version control
• Power Apps
• Power Automate
• ArcGIS Pro
• ArcGIS Enterprise
• ArcPy
• Spatial analytics
• ETL/ELT
• Azure data services
• AI and generative AI
• Machine learning
• Intelligent document extraction
• Synergi

Compensation

• $111,000 - $130,000 per year

Location: Waltham, MA (hybrid)