Job Description
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:
renewables and energy services
engineering and design
construction and facility services
To get where we're going, we need big thinkers, problem solvers and collaborative mindsets. Does that sound like you?
The Opportunity with McKinstry
McKinstry is looking to add aSenior Business Data Analystto join our Product Management team in Seattle!
Are you quick on your feet, and looking for a role that lets you exercise your left brain as much as your right? Do you juggle project deadlines effectively and do the best working as a team? Are you looking to play a key role for ourgrowingEnergy and Technical Service line of business?If you're ready for the next step, now's the time to join our growing Product Management team.
In this role, you will analyzeMcKinstry's business data to derive insights, andtrends, assess opportunities, manage risk, and support the business's ability to make data-driven decisions, as well as:
Work closely with LOB leaders to understand business challenges that can be measured and improved through a better understanding of business data.
Generate data visualizations - using MS Power BI - to illustrate the state of business Key Performance Indicators and identify new KPIs that can be used to measure, assess, and report business performance.
Analyze data across systems to identify indicators of business risk, perform sensitivity analysis, identify trends, and create predictive models of business performance under alternate scenarios.
Work with LOB subject matter experts to understand and leverage data collected outside of core enterprise MIS -eg.through spreadsheets and one-off systems
Collaborate with business subject matter experts, Product Management, our Standards team, and IT to develop requirements for augmenting MIS systems and processes to improve data collection or management.
Develop reports and deliver presentations that provide clear business insights and recommendations from often complicated datasets.
Generate ad-hoc analyses for quick insights.
Collaborate with our Enterprise Business Intelligence team to develop business requirements for Enterprise-scale BI dashboarding.
Collaborate on the definition, development, and maintenance of standards and processes for data collection, storage, and management.
Comfortable operating as a subject matter expert, leader, and mentor to improve the knowledge, skills, and capabilities of data insights throughout the company.
Support McKinstry's goals and objectives by working closely with the management team to deliver value to the business.
What You Need to Succeed at McKinstry:
At least 5 years of experience in Management Information Systems or related technology space.
At least 2 years of experience with Microsoft Power BI or similar business intelligence tools.
Microsoft M and DAX experience
Familiar with SQL/T-SQL and ability to write queries to gather and assemble data for analysis.
Strong communication and presentation skills.
Ability to work on challenging business problems with collaborative teams and diverse perspectives.
Ability to understand and navigate relational database management systems.
Demonstrated ability to influence direction within a team and persuade others in researched areas and growing skill in consensus building and facilitation.
Experience working in the Architectural, Engineering, and Construction industry a plus.
Experience using Machine Learning and Artificial Intelligence (ML/AI) a plus.
Familiarity with Microsoft (Azure, MS-SQL, Power BI) data storage and analysis systems.
Experience analyzing supply chain and risk management data in the construction industry a plus.
Experience querying large datasets from enterprise applications such as Salesforce and Procore.
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 inSeattleis$80,100 - $134,400 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. 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. This information is provided per theColoradoEqual Pay Act. Base pay information is based on market location.
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, ****** 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 ******* 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
Employment Type: Full Time
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:
renewables and energy services
engineering and design
construction and facility services
To get where we're going, we need big thinkers, problem solvers and collaborative mindsets. Does that sound like you?
The Opportunity with McKinstry
McKinstry is looking to add aSenior Business Data Analystto join our Product Management team in Seattle!
Are you quick on your feet, and looking for a role that lets you exercise your left brain as much as your right? Do you juggle project deadlines effectively and do the best working as a team? Are you looking to play a key role for ourgrowingEnergy and Technical Service line of business?If you're ready for the next step, now's the time to join our growing Product Management team.
In this role, you will analyzeMcKinstry's business data to derive insights, andtrends, assess opportunities, manage risk, and support the business's ability to make data-driven decisions, as well as:
Work closely with LOB leaders to understand business challenges that can be measured and improved through a better understanding of business data.
Generate data visualizations - using MS Power BI - to illustrate the state of business Key Performance Indicators and identify new KPIs that can be used to measure, assess, and report business performance.
Analyze data across systems to identify indicators of business risk, perform sensitivity analysis, identify trends, and create predictive models of business performance under alternate scenarios.
Work with LOB subject matter experts to understand and leverage data collected outside of core enterprise MIS -eg.through spreadsheets and one-off systems
Collaborate with business subject matter experts, Product Management, our Standards team, and IT to develop requirements for augmenting MIS systems and processes to improve data collection or management.
Develop reports and deliver presentations that provide clear business insights and recommendations from often complicated datasets.
Generate ad-hoc analyses for quick insights.
Collaborate with our Enterprise Business Intelligence team to develop business requirements for Enterprise-scale BI dashboarding.
Collaborate on the definition, development, and maintenance of standards and processes for data collection, storage, and management.
Comfortable operating as a subject matter expert, leader, and mentor to improve the knowledge, skills, and capabilities of data insights throughout the company.
Support McKinstry's goals and objectives by working closely with the management team to deliver value to the business.
What You Need to Succeed at McKinstry:
At least 5 years of experience in Management Information Systems or related technology space.
At least 2 years of experience with Microsoft Power BI or similar business intelligence tools.
Microsoft M and DAX experience
Familiar with SQL/T-SQL and ability to write queries to gather and assemble data for analysis.
Strong communication and presentation skills.
Ability to work on challenging business problems with collaborative teams and diverse perspectives.
Ability to understand and navigate relational database management systems.
Demonstrated ability to influence direction within a team and persuade others in researched areas and growing skill in consensus building and facilitation.
Experience working in the Architectural, Engineering, and Construction industry a plus.
Experience using Machine Learning and Artificial Intelligence (ML/AI) a plus.
Familiarity with Microsoft (Azure, MS-SQL, Power BI) data storage and analysis systems.
Experience analyzing supply chain and risk management data in the construction industry a plus.
Experience querying large datasets from enterprise applications such as Salesforce and Procore.
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 inSeattleis$80,100 - $134,400 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. 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. This information is provided per theColoradoEqual Pay Act. Base pay information is based on market location.
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, ****** 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 ******* 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
Employment Type: Full Time
💡 Quick Summary
Seeking a career-building opportunity? The Senior Business Data Analyst position is now open for candidates interested in the Work from home Jobs sector. This role in Seattle offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
