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Climate Data Analytics Jobs in Seattle, WA (NOW HIRING)

McKinstry

Senior Data Analyst, People Analytics

Seattle, WA · On-site

$97K - $123K/yr

McKinstry is innovating the waste and climate harm out of the built environment and creating ... The Opportunity with McKinstry We are seeking a skilled People Analytics Sr. Data Analyst to ...

New

McKinstry

Senior Data Analyst, People Analytics

Seattle, WA

$97K - $123K/yr

McKinstry is innovating the waste and climate harm out of the built environment and creating ... The Opportunity with McKinstry We are seeking a skilled People Analytics Sr. Data Analyst to ...

Posted today

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What are the main challenges faced by professionals working in climate data analytics, and how can they be addressed?

Professionals in climate data analytics often encounter challenges such as working with large, complex datasets from diverse sources, ensuring data accuracy, and translating analytical findings into actionable insights for stakeholders. To address these challenges, it's important to develop strong programming skills, stay current with data processing tools, and maintain rigorous data validation protocols. Collaboration with climate scientists, policy experts, and IT professionals is also key to ensuring the analysis is both scientifically robust and relevant to decision-making.

What is climate data analytics?

Climate data analytics is the process of collecting, processing, and interpreting large volumes of climate and weather-related data to identify patterns, trends, and insights. Professionals in this field use statistical analysis, machine learning, and data visualization tools to study factors such as temperature changes, precipitation, extreme weather events, and greenhouse gas emissions. The insights gained help inform policy decisions, support climate change mitigation and adaptation strategies, and improve weather forecasting. This field is important for governments, businesses, and researchers aiming to understand and address the impacts of climate change.

What are the key skills and qualifications needed to thrive as a climate data analyst, and why are they important?

To thrive as a Climate Data Analyst, you need a solid background in environmental science, statistics, and data analysis, often supported by a relevant degree such as environmental science, meteorology, or data science. Familiarity with programming languages (like Python or R), GIS software, and climate modeling tools is typically required, along with experience in handling large datasets. Attention to detail, problem-solving abilities, and strong communication skills help analysts interpret complex data and convey findings to diverse audiences. These skills are crucial for generating accurate climate insights that inform policy, research, and sustainability initiatives.
What are popular job titles related to Climate Data Analytics jobs in Seattle, WA? For Climate Data Analytics jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Climate Data Analytics jobs in Seattle, WA look for? The top searched job categories for Climate Data Analytics jobs in Seattle, WA are:
Climate Data Analytics jobs near you

Senior Data Analyst, People Analytics

McKinstry

Seattle, WA • On-site

$97K - $123K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New

McKinstry rating

9.7

Company rating: 9.7 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

Job description

Build the future, spark innovation and align your career with purpose.
McKinstry is innovating the waste and climate harm out of the built environment and creating lasting impact. Together, we're building a thriving planet.
Buildings are a leading contributor to the climate crisis, generating nearly 40% of total global energy-related carbon emissions. We're making a lasting impact on our industry and within our communities by addressing the climate, affordability and equity crises through:
  • engineering and design
  • construction and facility services
  • renewables and energy services
  • decarbonization and electrification

To get where we're going, we need big thinkers, problem solvers and collaborative mindsets. Does that sound like you?
The Opportunity with McKinstry
We are seeking a skilled People Analytics Sr. Data Analyst to advance people analytics, business intelligence, reporting, data stewardship, and workforce insights. This individual contributor role will equip the People Team and Executive leaders with trusted analytics and data-driven decision support across the organization.
This role will strengthen the workforce data foundation by defining and maintaining data standards, KPI logic, governance practices, and quality expectations that ensure people data is accurate, consistent, secure, and ready for reporting, advanced analytics, and future AI-enabled insights.
While familiarity with data engineering concepts, data integration, and related technologies is valuable, this role is not intended to own enterprise data engineering infrastructure, core platform administration, or system-level data pipeline management. The position will partner closely with IT, enterprise data teams, and system owners within established technology ownership and access models.
The ideal candidate brings experience with Power BI, workforce analytics, data governance, with sensitive employee data, along with the ability to partner across HR, IT, Finance, and business teams to turn workforce and business data into actionable insights. Additional responsibilities include:
  • Develop and maintain Power BI dashboards, reports, semantic models, and analytics solutions that provide workforce and organizational insights to People Team and business leaders.
  • Support integration, transformation, and validation of data from HR and enterprise systems including Workday, Jobvite, Docebo, Salesforce, and other enterprise applications.
  • Serve as a data steward for workforce data by defining and maintaining data standards, business logic, KPI definitions, and governance practices across people analytics solutions.
  • Partner with HR, IT, Finance, and business stakeholders to improve workforce data quality, consistency, documentation, and trusted use across systems and reporting platforms.
  • Support the data foundation for AI-enabled analytics by ensuring people data is well-defined, governed, secure, and appropriately integrated with enterprise data sources.
  • Monitor and resolve data quality issues, partnering with system owners and process teams to improve upstream data capture and downstream reporting reliability.
  • Partner with IT, enterprise data teams, and system owners to support data integration, transformation, validation, and documentation for people analytics use cases, while operating within established enterprise technology ownership and access models.
  • Partner with HR, Talent Acquisition, Learning, IT, Finance and business stakeholders to support reporting, analytics, and workforce insights initiatives.
  • Help deliver analytics and data storytelling that support decision-making related to workforce trends, hiring, retention, engagement, organizational effectiveness, and talent development.
  • Create and influence the development and maintenance of data dictionaries, KPI definitions, governance standards, and reporting documentation.
  • Ensure data accuracy, consistency, privacy, and confidentiality across reporting and analytics solutions.
  • Create and maintain Power BI workspaces, role-based security, and reporting performance optimization.
  • Support self-service analytics and data literacy initiatives across HR and business teams.
  • Contribute to enterprise analytics modernization and AI-enabled workforce analytics initiatives.
  • Document technical processes, business logic, and reporting standards.
  • This role will not own or administer core enterprise platforms or enterprise data engineering infrastructure; instead, it will partner with the teams responsible for those systems to ensure workforce data is accurate, well-defined, and analytics ready.

What You Need to Succeed at McKinstry:
Required Qualifications
  • Bachelor's degree in Information Systems, Data Analytics, Computer Science, Statistics, HR Analytics, or related field or equivalent related experience.
  • 5 years of experience in analytics, business intelligence, data engineering, or people analytics roles.
  • Demonstrated experience developing Power BI dashboards, reports, and visualizations.
  • Experience working with enterprise systems such as Workday, Jobvite, Docebo, Salesforce, or similar platforms.
  • Experience serving as a data steward or supporting data governance practices, including data definitions, data quality, KPI governance, privacy, security, and responsible use of sensitive or confidential data.
  • Strong SQL and data analysis skills.
  • Familiarity with data integration, transformation, ETL/ELT concepts, or analytics engineering practices, with the ability to partner effectively with data engineering and IT teams.
  • Familiarity with data modeling, reporting architecture, and analytics best practices.
  • Experience with cloud analytics platforms such as Microsoft Fabric, Azure, Snowflake, or similar technologies is preferred.
  • Proficiency with DAX, Power Query, or similar data transformation tools.
  • Strong analytical thinking, problem-solving, and communication skills.
  • Ability to manage sensitive employee data with discretion and attention to privacy and governance requirements.

Preferred Qualifications
  • Experience supporting People Analytics, HR Technology, or Workforce Analytics functions.
  • Experience building executive or leadership reporting dashboards.
  • Familiarity with APIs, Workday reporting, or HR data integrations.
  • Exposure to AI-enabled analytics, workforce planning, or organizational effectiveness reporting.
  • Familiarity with data engineering concepts, data integration, ETL/ELT processes, APIs, or cloud analytics platforms is preferred and helpful for partnering with technical teams.
  • Experience working in Microsoft Fabric.
  • Experience working in cross-functional or agile environments.

PeopleFirst Benefits
When it comes to the basics, we have you covered:
  • Competitive pay
  • 401(k) with employer match and profit-sharing plan
  • Paid time off and holidays
  • Comprehensive medical, prescription, dental, and vision with low or zero deductible options and low out of pocket maximums

People come first at McKinstry, and we go beyond the basic benefits with:
  • Family formation benefits, including adoption and IVF assistance
  • Up to 16 weeks paid parental leave
  • Transgender inclusive benefits
  • Commuter benefits
  • Pet insurance
  • "Building Good" paid community service time
  • Learning and advancement opportunities via McKinstry University
  • McKinstry Moves onsite gyms or reimbursement for remote workers

See benefit plan documents for complete details.
If you're driven by our vision to build a thriving planet together, McKinstry is the place to build your career.
The pay range for this position is $80,100 - $134,400 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. Base pay information is based on market location. A bonus may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.
The McKinstry group of companies are equal opportunity employers. We are committed to providing equal employment opportunities to all employees and qualified applicants without regard to sex, gender identity, sexual orientation, age, race, color, creed, marital status, national origin, disability, veteran status, genetic information or any other basis protected by law. This policy applies to all terms and conditions of employment including, but not limited to employment, advancement, assignment, and training. This commitment to Equal Employment Opportunity is made equally as a social responsibility and as an economic and business necessity.
McKinstry is a drug-free workplace. Employment iscontingent upon successfully passing a pre-employment drug and alcohol test, complying with the requirements of the Immigration Reform and Control Act and a Confidentiality Agreement, in addition to successful outcomes of background and reference checks.
Applicants for this role will only be considered if they possess current US Work Authorization, and do not require employer-sponsored VISA support to begin or remain in this role.
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