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Climate Modelling Jobs (NOW HIRING)

The climate crisis is the defining challenge of our time-but it's also the greatest opportunity for ... Ensure the technical approaches within your domains support future product and modelling needs

You will develop financial analysis/ modelling, industry research pieces in coordination with ... Champion Energy Transition and Sustainability by engaging with clients on their climate, transition ...

New

Machine Design * Solid Modelling * Manufacturing processes, including machining and assembly ... climate-controlled environment, while providing the following exceptional benefits and more!

Risk Director

New York, NY · On-site +1

$116K - $150K/yr

Enterprise Risk Management team has a requirement of a Risk Capital Modelling Director with ... Climate, Cyber and Mortgage) where relevant. * Ensure actuarial models and tools comply with ...

Strong customer service orientation demonstrating excellence in providing and modelling quality ... Supports the promotion of a positive climate for students in the program. * Communicates with ...

Maintains a positive work climate and fosters motivation and engagement. * Performs at the level of ... Strong technical pricing skills with knowledge of exposure-based pricing, experience modelling ...

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Climate Modelling information

What is climate modelling?

Climate modelling is the use of computer-based mathematical models to simulate the Earth's climate system, including the atmosphere, oceans, land surface, and ice. These models help scientists understand past, present, and future climate conditions by analyzing interactions between various components of the climate. Climate models are essential tools for predicting future climate changes, assessing the impact of human activities, and informing policy decisions related to climate change mitigation and adaptation.

What are some typical collaborative projects that climate modellers work on with other scientists?

Climate modellers frequently collaborate with meteorologists, oceanographers, data scientists, and policy experts to create comprehensive simulations and forecasts. These joint projects might include developing regional climate impact assessments, evaluating mitigation strategies, or contributing to international reports like those from the IPCC. Working in interdisciplinary teams allows climate modellers to integrate diverse data sets and perspectives, enhancing the accuracy and relevance of their models. Collaboration is essential for translating complex climate data into actionable insights for stakeholders and policymakers.

What are the key skills and qualifications needed to thrive as a Climate Modeller, and why are they important?

To thrive as a Climate Modeller, you need a strong background in atmospheric sciences, mathematics, and programming, typically supported by an advanced degree in climate science, meteorology, or a related field. Proficiency with climate modelling software (such as WRF or CESM), data analysis tools (like Python, MATLAB, or R), and experience with high-performance computing environments are essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help translate complex model outputs into actionable insights. These skills and qualities are crucial for producing accurate climate projections that inform policy decisions and scientific understanding.

What is the difference between Climate Modelling vs Climate Data Analysis?

AspectClimate ModellingClimate Data Analysis
Required CredentialsBachelor's or Master's in Environmental Science, Meteorology, or related fields; programming skillsBachelor's or Master's in Data Science, Statistics, or related fields; strong analytical skills
Work EnvironmentResearch labs, universities, government agencies; computational and simulation workData centers, research institutions, consulting firms; data processing and interpretation
Employer & Industry UsageClimate research, environmental agencies, academiaEnvironmental consulting, research, policy analysis

Climate Modelling involves creating simulations to predict climate patterns using complex models, while Climate Data Analysis focuses on interpreting existing climate data to identify trends and insights. Both roles require strong analytical skills but differ in their approach—modeling emphasizes simulation, whereas data analysis emphasizes data interpretation.

More about Climate Modelling jobs
What cities are hiring for Climate Modelling jobs? Cities with the most Climate Modelling job openings:
What states have the most Climate Modelling jobs? States with the most job openings for Climate Modelling jobs include:
Infographic showing various Climate Modelling job openings in the United States as of July 2026, with employment types broken down into 81% Full Time, 17% Part Time, 1% Contract, and 1% Nights. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Technical Business Systems Analyst

Analogdevices

Wilmington, MA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at www.analog.comand on LinkedIn and X.

Senior Technical Business Systems Analyst

Role Summary

The Senior Technical Business Systems Analyst (BSA) is a highly experienced individual contributor responsible for designing, enabling, and evolvingcore CRM capabilities within Microsoft Dynamics, with a focus onSales Journey, Opportunity Lifecycle, and Pipeline Management.

This is adeeply technical role, requiring strong platformexpertise, integration knowledge, and the ability to architect scalable CRM solutions aligned to enterprise standards.

A key aspect of this role is theembedding of AI and intelligent automation into the Sales Journey, enabling improved decision-making, pipeline progression, and sales productivity.

The role partners across Sales, IT, Data, and Architecture teams to delivermodern, AI-enabled CRM capabilitiesthat support complex, global B2B environments.

Key Responsibilities

Microsoft Dynamics CRM - Sales Journey & Pipeline

  • Own the design and evolution ofend-to-end Sales Journey:

  • Lead Opportunity Quote Close lifecycle

  • Pipeline governance, forecasting inputs, and commit processes

  • Define CRM data models, workflows, and automation supporting:

  • Opportunity progression and deal velocity

  • Pipeline hygiene and data quality

  • Forecast accuracy and execution confidence

  • Lead root cause analysis and resolution of systemic CRM and pipeline issues

AI-Enabled Sales Journey

  • EmbedAI and intelligent capabilities directly into CRM workflows, including:

  • Opportunity scoring and prioritisation

  • Next-best-action recommendations for sellers

  • Pipeline risk identification and deal progression insights

  • Partner with Data and AI teams to:

  • Operationalise predictive models within CRM

  • Integrate AI-driven insights into user experience and workflows

  • Drive adoption of AI-enhanced capabilities to improve:

  • Sales productivity

  • Forecast accuracy

  • Pipeline conversion rates

  • Ensure AI capabilities are practical, explainable, and aligned with business processes

Technical Platform Ownership & Solution Design

  • Providedeep technicalexpertisein Microsoft Dynamics CRM and Power Platform, including:

  • Configuration (entities, workflows, business rules)

  • Extensibility (APIs, plugins, custom services)

  • Lead solution design for CRM enhancements:

  • Ensure scalability, performance, and maintainability

  • Align with enterprise architecture and security standards

  • Work closely with engineering teams inAgile delivery environments

Integration Architecture

  • Design and govern integrations between CRM and enterprise systems:

  • Ensure seamless data flow across sales, pricing, and fulfilment processes

  • Enable real-time or near-real-time pipeline visibility

  • Define integration patterns (API-led, event-based, batch whereappropriate)

  • Partner with integration teams to troubleshoot and optimise system interactions

Business Process & Domain Expertise

  • Develop deepexpertiseinSales Operations and commercial processes, including:

  • Pipeline management and forecasting

  • Complex deal structures and lifecycle management

  • Translate business strategies intostructured system and process designs

  • Influence CRM usage, data standards, and operating models

Delivery Leadership & Business Analysis

  • Lead complex analysis and solution design:

  • Requirements, functional specifications, and user stories

  • Own backlog shaping and prioritisation aligned to business value

  • Drive UAT, release readiness, and post-go-live stabilisation

Required Experience & Skills

Core Requirements

  • 7-10+years experiencein:

  • CRM platforms (Microsoft Dynamics preferred)

  • Business Systems Analysis in enterprise environments

  • Proven experienceoperatingas asenior technical BSA or solution-oriented role

  • Strong understanding of:

  • CRM data models and architecture

  • End-to-end Sales Journey and pipeline management

Technical Skills

  • Hands-on experience with:

  • Dynamics CRM configuration and customisation

  • Integration design and implementation (APIs, middleware, event-based patterns)

  • Working knowledge of:

  • Cloud platforms and modern application architectures

  • Data modelling and CRM reporting structures

  • Ability to collaborate effectively with development teams in Agile environments

AI & Data Experience (Strongly Preferred)

  • Experience embedding analytics or AI into business workflows

  • Understanding of:

  • Predictive modelling concepts (scoring, classification, forecasting)

  • Data pipelines and model operationalisation

  • Ability to translate AI outputs intopractical CRM user experiences

Domain Expertise (Desirable)

  • Semiconductor or complex B2B industry experience

  • Familiarity with:

  • Global sales processes

  • Complex quoting, pricing, and channel models

Leadership & Behavioural

  • Strong analytical and structured problem-solving capability

  • Ability to influence cross-functional stakeholders without authority

  • Comfortable operating independently in asenior IC capacity

  • Experience working in complex, global, matrixed environments

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.

Job Req Type: ExperiencedRequired Travel: Yes, 10% of the timeShift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $113,190 to $163,905.
  • Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

  • This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

  • This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.