Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Who you are

As a Senior Data Engineer at Metropolis, you will play a key role in shaping data products that align with our mission. Your technical expertise and analytical acumen will contribute to designing and building extensive data sets that impact thousands of internal users and millions of members. Join a world-class data engineering team dedicated to advancing your skills and career in data engineering and beyond.

What you'll do

• Collaborate with cross-functional teams to develop end-to-end data pipelines and foundational data sets
• Design and own data architecture for large-scale projects while managing operational trade-offs
• Build and optimize sophisticated data pipelines, models, and visualizations across multiple domains
• Define and manage Service Level Agreements (SLAs) for all owned data sets
• Implement data security models, ensure privacy compliance, and evolve data governance processes
• Solve complex integration challenges using optimal ETL/ELT patterns for structured and unstructured data
• Maintain production processes by optimizing complex code using advanced algorithmic concepts
• Streamline data artifact development by optimizing pipelines, dashboards, and frameworks
• Mentor team members through actionable feedback to foster collective skill growth
• Maintain flexibility with availability during evening hours

What we're looking for

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field
• master's degree is preferred
• 5+ years of experience in data engineering, database engineering, business intelligence, data warehousing, and ETL tools, working with large data sets in the cloud
• 5+ years of experience with Python, and experience building scalable Big Data solutions and ETL ecosystems
• Proficiency in SQL, ETL/ELT, and data modeling, with extensive experience in Snowflake and dbt
• Hands-on experience with RDBMS such as MySQL, MS SQL Server (optional), and Postgres
• Familiarity with integration tools like Airflow and Automic, along with a working knowledge of CI/CD pipelines
• Ability to deliver high standards of code quality, system reliability, and performance
• Deep understanding of the modern IaC ecosystem to drive automated infrastructure deployments
• Experience with cloud computing services, preferably AWS, including hands-on experience with services like Glue, Airflow (MWAA), DMS, EKS, and SNS

While not required, these are a plus:

• Experience with Spark and PySpark
• Master's degree in Computer Science, Computer Engineering, or a relevant technical field

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $160,000.00 USD to $220,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Your Impact

You will lead revenue accounting operations and serve as a strategic partner to FP&A, Commercial Controllership, IT, Professional Services, and Sales. You will ensure accurate and compliant revenue recognition under ASC 606 while strengthening processes, controls, and scalability across a complex, multi-element revenue environment.
This role requires deep revenue accounting expertise in a fast-paced, public company setting.

This role would require relocation to Boston. This role follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

Reports to: Director, Revenue Accounting

What You’ll Do

• Lead day-to-day revenue accounting, including key revenue streams, journal entries, reconciliations, and disclosures.
• Ensure accurate revenue recognition and related accounts in compliance with ASC 606.
• Review and document technical accounting conclusions for complex contracts and multi-element arrangements (hardware, SaaS, professional services).
• Partner cross-functionally to evaluate contracts, resolve revenue issues, and optimize order-to-cash processes.
• Oversee monthly and quarterly close activities, analytics, and revenue reporting.
• Maintain and strengthen internal controls and support internal and external audits, including SOX compliance.
• Drive process improvements, automation, and system enhancements to improve efficiency and scalability.
• Coach and develop team members while fostering a high-performance culture.

What You Bring

• Bachelor’s degree in Accounting or Finance required; CPA preferred.
• 7+ years of progressive revenue accounting experience, including required ASC 606 experience in a publicly traded company environment.
• Strong technical expertise in complex revenue arrangements across hardware, SaaS, and professional services.
• Experience operating in a SOX-compliant environment and supporting audits.
• Demonstrated cross-functional partnership with Sales, FP&A, IT, and Operations.
• ERP experience required (D365 or comparable system); advanced Excel skills.
• Experience with automation and data tools (e.g., Sigma, Snowflake, Power BI, Salesforce, RevStream) strongly preferred.
• Finance or FP&A experience a plus.
• Strong analytical and communication skills, with the ability to translate complex accounting matters clearly.
• Proactive, solutions-oriented mindset with a focus on process improvement and scalability.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking an Financial Systems Administrator to join our team. You will manage, maintain, and optimize our Oracle Cloud EPM (EPBCS) ecosystem while serving as the strategic bridge between our Financial Planning & Analysis (FP&A) organization and our centralized Data Engineering teams. In our high-velocity, 5,000-location enterprise, financial accuracy is inextricably linked to operational data. You will not only handle traditional EPM administration but also partner directly with data and operational teams to define technical requirements for integrating non-financial KPIs—such as location churn, new facility onboardings, occupancy rates, and transaction counts—directly from our data warehouse into our financial forecasting models. The ideal candidate brings a strong grasp of EPM architecture, SQL data structures, and the communication skills required to translate complex operational metrics into actionable financial drivers.

What you'll do

• Oversee the end-to-end administration, configuration, and continuous optimization of the Oracle Cloud EPM suite (EPBCS)
• Design, build, and troubleshoot Essbase ASO/BSO cubes to support large-scale operational scenario planning
• Act as the primary technical translator between Finance and centralized Data/IT teams; partner with Data Engineering to define technical requirements, ensuring that data models in our data warehouse (e.g., Snowflake) are properly structured for seamless EPM ingestion
• Collaborate with data teams to ingest high-volume non-financial KPIs (e.g., transaction counts, location churn) into EPM planning cubes
• Troubleshoot integration workflows and perform root-cause analysis on data discrepancies using SQL and Python
• Replace static calculation scripts with dynamic, context-aware logic to optimize system performance across thousands of sparse locations
• Utilize EPM Automate alongside Python or batch scripting for complex job scheduling
• Manage the volatile lifecycle of 5,000+ operational locations; ensure location additions, divestitures, hierarchical changes and associated access permissions, synchronize flawlessly across ERP, CRM, and EPM environments
• Develop and maintain high-impact visualization dashboards (Tableau, Looker, Hex) with intuitive narratives to facilitate executive decision-making; provide user support, training, and documentation for supported applications

What we're looking for

• 7+ years of Oracle EPM (EPBCS/Planning) System Administration and development experience in a high-growth, multi-location enterprise
• Bachelor’s degree in Computer Science, Finance, Economics, Accounting, Information Systems, or a related field
• Strong knowledge of data integration tools (EPM Integration Agent, Data Management, EPM Automate) and deep understanding of dependencies between functional components of Oracle EPM
• Proficiency in SQL and Python with a proven track record of automating financial processes
• Must understand modern cloud data structures well enough to perform "handholding" and meaningful collaboration with Data Engineers
• Exceptional ability to bridge the gap between technical data architecture and functional financial insights
• Strong experience partnering with Senior Leadership and the ability to translate "big picture" financial concepts into tactical execution plans for IT
• Ability to work independently or with a low-ego, highly collaborative, cross-functional team in a fast-paced, deadline-driven environment
• Experience leveraging AI tools to transform static workflows into responsive, high-output processes

While not required, these are a plus:

• Experience with Groovy scripting

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $120,000.00 USD to $130,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-AW1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Who we are

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy — a future where mundane repetition disappears and being known unlocks access, comfort and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn’t coming; it’s here, and we need builders, innovators and problem solvers to help us create it.

Who you are

Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and Analytics team. The ideal candidate will possess a passion for creating value using data and a strong foundation in all aspects of analytics engineering. In this pivotal role, you will be instrumental in making data accessible and actionable, facilitating informed decision-making throughout the company. You will partner and lead across multiple product team functions and domains and drive impact through your data vision and architecture.

What you'll do

• Design and implement large-scale data warehouses and data marts using Snowflake, Star, or Data Vault 2.0 schemas
• Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model code
• Write complex SQL including window functions and STRUCT/ARRAY manipulations while adhering to performance best practices
• Manage and optimize DAGs, including troubleshooting task failures and improving run times
• Implement metadata management, data lineage, and security principles such as least-privilege access
• Use a test-driven approach to design systems that trap poor quality data and trigger alerts within the data flow
• Partner with engineering, data science, and business stakeholders to own project scopes
• Mentor others on data best practices to drive impact through your data vision
• Provide architectural guidance to ensure data is accessible and actionable across the company
• Drive technical excellence within the data engineering and analytics domain

What we're looking for

• 5+ years of experience in data/analytics engineering with proficiency in Python and SQL within Snowflake
• 3+ years of experience with dbt
• Owned large-scale data projects that drove significant impact through effective cross-functional partnering
• Led the design, implementation, and monitoring of data warehouses that enable clear product-focused insights
• Expert at SQL, window functions, and query optimization for complex data manipulations
• Applied performance best practices, including partitions, sort keys, and incremental modeling
• Designed systems using test-driven approaches to ensure data quality and flow integrity
• Familiarity with ELT processes and tools to prepare and clean data for analysis
• Skill in using tools like dbt to build data transformation pipelines
• Experience mentoring stakeholders in Data Science, Analytics, PM, and Engineering on data best practices

While not required, these are a plus:

• A dbt certification

4 Days in Office: Metropolis values in-person collaboration to drive innovation, strengthen culture, and enhance the Member experience. Our corporate team members hold to our office-first model, which requires employees to be on-site at least four days a week, fostering organic interactions that spark creativity and connection.

When you join Metropolis, you'll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $130,000.00 USD to $175,000.00 USD annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis's total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

About Minno

Minno is a global media and technology company based in Nashville, Tennessee, on a mission to help kids and families experience Jesus every day through media and technology.

Founded in 2019, Minno is building the most trusted Christian media brand for the next generation. Through our streaming platform, original programming, publishing, and digital presence, we spark children's curiosity about God and the Bible, support parents, and create joyful, lasting faith experiences for families worldwide.

We're a fast-growing startup — powered by a mission-driven team with experience at Amazon, PBS KIDS, Duolingo, Disney, DreamWorks Animation, Noggin, and leading studios and startups. Our growth has placed us in the top 1% of direct-to-consumer subscription businesses, and we are scaling rapidly following the close of our Series A round, led by Konvoy Ventures.

Minno is a Nashville-based global media company serving Christian kids and families through: 

• Minno Kids: Our flagship ad-free streaming platform experiencing triple-digit growth
• Minno Originals: Award-winning original programming including "Laugh and Grow Bible for Kids" and "Young David" 
• YouTube channel: The fastest-growing Christian kids' channels with triple-digit year-over-year growth 
• Minno Press: Our successful publishing unit behind bestselling children's titles, including the award-winning "Minno Laugh & Grow Bible for Kids." 

We differentiate ourselves through creative excellence, faithful curation, parent partnership, and a global vision that honors the diversity of the Church. Minno is a public benefit corporation, and our mission fuels everything we do.

Minno uniquely differentiates itself by promising: 

• Experiential Excellence:  Top-tier quality that changes expectations and raises the bar for Christian content. 

• Safe Entertaining Christian Content: Kid-friendly, entertaining, engaging, age-appropriate, and Biblically aligned content. 

• Practical Faith Support:  Resources that cultivate faith, invite conversation, and foster spiritual growth. 

• Values the Global Church: Honoring the diversity of the global church and people as image bearers of God. 

As a public benefit corporation, Minno is committed to helping kids and their families experience Jesus every day through media and technology. This mission drives everything we do.

The Opportunity

This is Minno's first embedded analytics hire - and one of the most consequential roles we're making as we scale toward becoming the category-defining platform for Christian kids and families.

You will build the analytical backbone of the entire company from the ground up. You'll partner directly with the CEO, CFO, CMO, CCO, CTO, and CPO to transform data from across our growing platform into clear, trusted intelligence that drives every major decision - from content investment to marketing spend to platform strategy.

What makes this role different from a typical analytics hire is the way decisions are made here. When you bring a finding to light, it gets acted on. Our CMO wants to be taught, not just served. Our CFO presents analytical models directly to the board. Your work will shape what Minno does, not sit in a reporting system nobody reads.

This role starts as a high-impact individual contributor. As Minno scales, you'll have the opportunity to build and lead a small analytics team - this is a foundational role in the company we're building, not a seat at the end of a long table.

Why Content Analytics and Children's Data Privacy Matter Here

Minno operates at the intersection of three hard problems: content, kids, and subscriptions.

We produce and distribute original children's programming across our own streaming platform, YouTube (1.1M+ subscribers), and third-party distribution partners. Understanding which content drives engagement, retention, and long-term subscriber value - not just which content is most expensive to produce - is the central analytical challenge of this business.

Content analytics is the hardest of our three analytical verticals to hire for. Marketing attribution and product analytics are learnable. Content analytics requires intuition built from experience - knowing how to evaluate the value of a piece of content, how to model the relationship between content investment and subscriber behavior, and how to advise a creative team with data they actually trust.

Because our audience is children, every analytical system you build must be designed within the constraints of COPPA (Children's Online Privacy Protection Act) and its global equivalents. This isn't a checkbox compliance exercise. It shapes what data you can collect, how you can model behavior, how you work with third-party platforms, and how you architect everything from your data warehouse to your reporting layer. If you've navigated children's data privacy in a product analytics context before, you know what this means. If you haven't, this role will require you to learn it fast - and we'd rather hire someone who's already been through it.

Our Mission and Faith

Minno is a Christian company, and our faith is inseparable from our work. We're building a platform to help kids and families experience Jesus every day - and that conviction shapes every product decision, content investment, and hire we make.

We're looking for someone who is personally aligned with that mission - not because it's a checkbox, but because the work is more meaningful when the mission resonates. You don't need to be an expert in Christian media, but you do need to genuinely care about what we're building for kids and families and see this role as more than a career move.

What You'll Do

• Build and own Minno's analytics foundation - ensuring every functional leader has access to accurate, timely, trusted data to drive their decisions
• Deliver content intelligence that guides investment, licensing, and programming decisions across our growing catalog
• Build investor-grade analytics infrastructure that supports Minno's next phase of growth and capital strategy
• Own marketing attribution across our direct-to-consumer and third-party distribution channels, giving the CMO and CFO clear visibility into what's driving member value
• Drive member lifecycle and behavioral intelligence that informs product prioritization and retention strategy
• Operate as a proactive strategic partner to the executive team - bring insights before they're requested and make data central to every major decision
• Lead Minno's AI analytics strategy and ensure every new business model and content format is instrumented before it launches

What You'll Bring

Must Have

• 5+ years in data analytics, business intelligence, or a related function with demonstrated progression in scope and responsibility
• Experience building or leading content analytics in a media, entertainment, or content-driven business.
  • You've evaluated content performance, modeled the relationship between content and business outcomes, and advised creative teams with data.
• Direct experience with children's data privacy regulations (COPPA, GDPR-K, or equivalent) in a product or analytics context - or deep experience in a regulated data environment where privacy constraints shaped your analytical approach.
• Advanced SQL proficiency - able to independently query and transform data from complex, multi-source environments
• Fluency in Tableau or comparable BI tool - built dashboards from scratch, not just maintained existing ones
• Demonstrated experience building an analytics function or owning analytics end-to-end as the primary analyst in a small or growing company
• Experience with third-party platform distribution analytics - platforms where member-level data is constrained and indirect
• Strong AI fluency - actively uses AI tools in their workflow with a clear point of view on where they add the most value
• Exceptional communication skills - can translate complex data into a clear narrative that drives decisions in the boardroom
• Proactive, ownership mindset - brings insights before being asked and operates independently
• Genuine alignment with Minno's Christian mission and enthusiasm for the audience we serve

Strongly Preferred

• Experience in media, streaming, or multi-format content analytics
• Familiarity with COPPA compliance, children's data privacy regulations, and the analytics constraints that apply to platforms serving users under 13. Familiarity with investor-grade subscription metrics and financial modeling
• Proficiency in Python or R
• Experience with GA4, AppsFlyer, Amplitude, Mixpanel, or similar tools
• Familiarity with DBT or data modeling and transformation tools
• Experience with Snowflake or a comparable cloud data warehouse
• Hands-on experience with multi-touch marketing attribution in a subscription context

Nice to Have

• Background in faith-based, family, or children's media
• Experience building analytics frameworks for new business models before launch

Our Values

• Bias for Action: We take initiative and make decisions quickly
• Curious, not Content: We are eager to learn and innovate
• Grit & Resilience: We persevere and follow through on our commitments
• Rigorous Intentionality: We pay attention to details and understand the "why" behind our work
• Think Like Owners: We are resourceful and take wise risks
• Mutual Blessing: We operate generously on behalf of others
• Trust Builders: We gain confidence through honesty, integrity, and authenticity
• Adapt & Flex: We operate effectively in uncertain situations

Location

Nashville, TN preferred. Open to remote for the right candidate, with regular travel to Nashville for quarterly planning and team collaboration.

Compensation & Benefits

• Competitive base salary commensurate with experience
• Performance-based bonus
• Equity package
• Comprehensive benefits
• Professional development opportunities, including key industry conferences and leadership development programs

Minno is committed to fostering a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate based on race, color, religion, gender, sexual orientation, national origin, age, disability, or other protected characteristics.

To apply, please submit your resume and a cover letter explaining your interest in Minno and how your experience aligns with our mission and values.

Join us in building something that matters — and helping millions of kids and families experience Jesus every day.

Location: Nashville, TN

Work Environment: Hybrid, periodic travel required   

Target Compensation Range: $130,000 to $170,000

Role Summary: Lead data engineering workstreams and build high-quality data solutions that support client reporting, analytics, and data pipelines.

Who We Are 

At The Gunter Group (TGG), we are a people-first management consulting firm and proud 20-time workplace award winner. We build trusted partnerships with our clients by working alongside their teams. Together, we deliver practical solutions and lasting impact across strategy, execution, people, and technology. We show up ready to roll up our sleeves, solve complex problems, and make a real difference together.

Your Impact at The Gunter Group

As a Senior Consultant – Data Engineer at The Gunter Group, you partner closely with clients and consulting teams to deliver meaningful business results through high-quality data engineering solutions. You take ownership of technical workstreams, help guide delivery, and collaborate with both technical and non-technical stakeholders to turn unstructured challenges into structured, actionable data solutions.

You contribute across a variety of industries and engagement types, applying strong technical judgment and practical problem-solving skills to design, build, and deliver data platforms and pipelines that support client goals.

Lead High-Impact Client Delivery

• Play a key role in client engagement delivery by leading data engineering workstreams and guiding TGG teams to successful project outcomes.
• Flex across delivery environments, working as an individual contributor, part of a consulting team, or as a technical or workstream lead embedded with the client.
• Apply structured methodologies, toolkits, and best practices to execute effectively and deliver high-quality data solutions.
• Embrace unstructured challenges and help turn them into actionable plans and measurable outcomes.

Deliver Data Engineering & Analytics Solutions

• Analyze requirements and design, build, debug, and deploy cloud-based data services and components.
• Build and schedule data pipelines to extract, transform, and store data across SQL databases and cloud platforms including Azure, GCP, AWS, and Snowflake.
• Explore and analyze data using Excel, Power Query, SQL, and Python, developing solutions in Python/Jupyter and presenting insights through data visualizations.
• Develop and maintain design documentation, data models, and interface specifications.
• Write unit tests and work within CI/CD, code quality, and UAT processes.

Collaborate Across Stakeholders and Teams

• Partner with client stakeholders ranging from individual contributors to senior executives to align on goals and deliver outcomes.
• Communicate effectively with IT developers, product owners, and other technical stakeholders.
• Work alongside a collaborative team of TGG consultants committed to delivering outstanding client service.
• Engage with TGG partners, principals, account leaders, managers, and peers who support your success across engagements

What You Bring 

• 6+ years of consulting or related experience with a strong track record of client service and delivering results.
• Proven ability to collaborate with non-technical stakeholders to gather requirements, plan delivery, and communicate results using clear documentation, diagrams, and presentations.
• Experience with data science and machine learning concepts and methods.
• Experience with Python, SQL, and BI/analytics tools (e.g., Power BI, Tableau), and familiarity with modern programming languages and frameworks (Java, C#/.NET, JavaScript). 
• Understanding of programming paradigms, source control, and software lifecycle best practices (e.g., Git). 
• Strong knowledge of data lifecycles, including how data is collected, transformed, stored, and consumed. 
• Experience working in Agile/Scrum environments and translating business needs into effective technology solutions.

Working at The Gunter Group

Salary and Benefits

Supporting the well-being of our team is a priority at TGG. Our benefits package includes competitive health coverage, wellness programs, flexible PTO, professional development and work-from-home stipends, as well as team offsites, social events, and volunteer opportunities.

The total expected compensation range for this role is $130,000 to $170,000, consisting of a base salary and variable billing bonus component. Additional compensation may be earned through contributions to account leadership and business development. We discuss compensation and bonus opportunities openly throughout the hiring process.

Why TGG

The Gunter Group is headquartered in Portland, Oregon, with team members primarily located in our three core geographies: Portland, Nashville, and Denver. Our consultants work across remote, hybrid, and onsite environments depending on client needs, with travel expectations varying by engagement and aligned collaboratively with both clients and team members.

We partner with organizations across industries including retail, apparel, government, education, insurance, and Fortune 100 companies, working alongside client teams to solve complex problems and deliver practical solutions that drive lasting results. Our work is rooted in strong relationships, thoughtful execution, and a shared commitment to doing quality work.

At TGG, we believe people do their best work when they feel respected, supported, and included. We are committed to fostering an engaging, fair, and authentic environment where diverse backgrounds and perspectives are valued. Our culture is guided by non‑negotiable values—including integrity, curiosity, emotional intelligence, collaboration, confidence, and the ability to thrive in ambiguity—and by a high standard of excellence in how we show up for our clients and each other.

The Gunter Group LLC is an equal opportunity employer.

CD Baby is a globally recognized leader in the music industry and the first platform to offer artists direct distribution to their fans. As we navigate the next era of music technology, we are committed to modernizing our core systems, fostering an agile culture, and leveraging cutting-edge platforms to better serve our artists, partners, and fans worldwide. 

This hybrid role can be based in our Los Angeles (preferably), Nashville, or New York City office location.

The Role:

As Director of Business Intelligence, you will define and own the strategy and roadmap for making data accessible, trusted, and actionable across CD Baby. You’ll establish the metrics that matter most, drive data normalization across teams, and build the infrastructure that enables self-service insights at scale. You will partner closely with Product, Marketing, Finance, Data Engineering and stakeholders across the company to prioritize the highest-impact KPIs, ensure consistent definitions across the organization, and embed data into how decisions get made. This role is both strategic and hands-on: you’ll architect the BI function while also building dashboards, leading analyses, and translating complex data into clear business recommendations.

What you'll be doing:

Define the BI Strategy & Roadmap
• Establish a company-wide BI vision and multi-quarter roadmap.
• Standardize core metrics and KPIs across business, product and technology teams
• Prioritize the highest-impact insights that drive growth, retention, and artist success
• Build scalable reporting layers and self-service infrastructure that reduce ad hoc dependency
• Evaluate and deploy AI-enabled analytics tools that scale insight generation and reduce dependency on manual reporting

Drive Customer & Product Insights
• Lead segmentation, cohort analysis, lifetime value modeling, and churn analysis.
• Identify growth opportunities, at-risk artists, and high-value segments.
• Define and measure success metrics for new product and feature launches.
• Support experimentation and A/B testing with rigorous statistical analysis

Build Data Analytics Infrastructure
• Partner with Data Engineering to continuously improve data quality, modeling, and governance
• Ensure reliable, well-documented reporting pipelines in cloud data warehouses (e.g., Snowflake)
• Translate complex datasets into clear, executive-ready narratives
• Implement natural language and AI-assisted query tools that allow non-technical stakeholders to explore data and answer questions independently

Must-Haves / Requirements:

• 7+ years of experience in data analytics, customer insights, business intelligence, or a related field
• Advanced SQL; experience with modern BI tools and cloud warehouses
• Hands-on experience building dashboards and reports in enterprise BI tools
• Strong foundation in customer analytics (segmentation, LTV, churn, experimentation)
• Familiarity with SaaS or platform metrics (ARR, CAC, LTV, retention) preferred
• Ability to influence cross-functional stakeholders and communicate clearly at all levels

CAREER DEVELOPMENT / EQUAL EMPLOYMENT OPPORTUNITY

In order to provide equal employment and advancement opportunities to all individuals, CD Baby does not discriminate in employment opportunities or practices on the basis of sex, age, race, color, national origin, sexual orientation, religion, marital status, genetic information, veteran status or disability.

COMMITMENT TO DIVERSITY

CD Baby is committed to creating and maintaining a workplace in which all employees have an opportunity to participate and contribute to the success of the business and are valued for their skills, experience, and unique perspectives. This commitment is embodied in company policy and the way we do business and is an important principle of sound business management.

ADA POLICY

It is Company policy not to discriminate against qualified individuals with disabilities in regard to application procedures, hiring, advancement, discharge, compensation, training, or other terms, conditions and privileges of employment.

Any individual who can be reasonably accommodated for a job, without undue hardship, will be given the same consideration for that position as any other applicant. The People Team is responsible for implementing this policy, including resolution of reasonable accommodation, safety and undue hardship issues.

Final Notes

• If you are a recruiter, please do not contact us with candidates for this position unless we have engaged with you to do so.

CD Baby provides base salary ranges for all positions located in the United States at the time of posting. The hiring range for this position is $150,000 - $175,000 annually. As a candidate for this position, your salary and related elements of compensation will be contingent upon various factors including, but not limited to, work experience, geographic location and relevant skills. CD Bay is committed to providing a comprehensive market-competitive total rewards program for its employees which includes medical, dental, and vision, life insurance, 401(k) match and generous paid time off. This range does not include any other variable compensation components.

Every company needs supplies and services to operate. From laptops and rental cars to pens and pallets, all companies have procurement needs. That’s where CoreTrust comes in. CoreTrust provides a B2B marketplace that has transformed how companies buy billions of dollars’ worth of supplies and services annually. We’re on a mission to be the one place where buyers and suppliers connect, secure purchasing agreements, transact, and partner to realize savings.

To support our growth, we’re seeking an experienced Senior Data Scientist to join our Data Solutions team.

The CoreTrust Data Solutions team's charter is to foster a data-driven culture to encourage and enable the entire organization to make more informed decisions through data. Our data and analytics team works closely with engineering, sales, marketing, finance, and business leaders to identify opportunities for improving customer experience and accelerate our business's growth in support of this mission. This is a unique opportunity to bring your knowledge of enterprise software offerings, as well as your understanding of data science methods and best practices, to help CoreTrust deliver the best experience possible for our customers and partners.  

Responsibilities

• Work with other teams across CoreTrust to develop key metrics to achieve business outcomes.    
• Work cross functionally to translate business problems into solutions that can be solved and informed by data and automated with AI Agents.
• Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business.    
• Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map.     
• Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution.     
• Utilize tools like SQL, Python, LLMs and platforms like Azure AI Foundry or Amazon Bedrock to execute analysis and create AI applications.
• Track and monitor projects in JIRA  
• Design, implement, and maintain analytics, models and LLM-driven scripts/software
• Work with stakeholders across the organization to understand requirements and generate actionable insights
• Work as part of a team to maintain a high-quality data lake house
• Serve as a subject matter expert on machine learning, AI agents, and statistics
• Be part of the Data Science Team to share ideas and best practices
• Create dashboards and reports to clearly and concisely communicate results and insights

Qualifications

• Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 4+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 
• OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) 
• 4+ years of experience in data science and analytics
• Experience with design and maintenance of advanced data systems
• Deep understanding of data modeling, statistics, and data visualization concepts
• Comfortable working with data in a variety of formats and languages, like CSV, Parquet, XLSX, JSON, etc. and SQL/Python
• Experience with Azure or AWS cloud platforms, OpenAI and Anthropic APIs, RAG-based chatbots, AI Agents, LLMs and other foundational AI/GenAI models
• Ability to use your understanding of statistics and modeling to explain complex outputs to non-technical team members
• Experience with tools like PowerBI, Snowflake, N8N, Claude Code, OpenAI Codex, Cursor

Benefits

• Competitive compensation package 
• Free individual employee medical coverage 
• Company subsidized dental and vision coverage 
• Dollar for dollar 401(k) match up to 6% of your salary with immediate vesting 
• Company-paid Short-Term and Long-Term Disability coverage 
• Employee Assistance Program to support your wellbeing and mental health 
• $1500 annual stipend for undergraduate/graduate college courses; $500 annual stipend for continuing education courses/certifications 
• Free snacks and beverages on-site
• Brand new, state-of-the-art, tech-enabled work environment in downtown Nashville
• Flexible/hybrid work culture 

WHAT WE DO

Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives. We’re known for making realistic, data-driven decisions that deliver value in tangible ways to our clients. Our clients ask for us on projects that require a superior combination of technical and business capabilities, people and management skills, and a collaborative mindset. We excel in understanding complex programs and strategic initiatives and breaking them into actionable pieces.

We are actively looking for professionals in the following areas:

• Data Strategy
• Data Governance
• Data Modernization
• Advanced Analytics
• Data Visualization

The ideal candidate’s experience may include but is not limited to the following:

• Have experience understanding and solving real business problems
• Have experience with presenting business case and strategy to the C-Suite
• Bring industry domain knowledge for custom data and analytics strategies
• Experience in designing and implementing data driven products and services
• Experience in designing and building high performance collaborative business and technology teams that deliver high value data solutions, data products and data analytics

Ideal candidates may call themselves Data Architects, Data Engineers, Data Scientists, Analysts and Data Governance professionals. Experience may include but not limited to the following:  

Data Strategy and Governance

• Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
• Proven experience in transforming our clients from on-prem data platforms to the cloud.
• Lead data modernization initiatives that include platform, technology and tools implementation and adoption.
• Must have experience in architecting and implementing data architecture, data engineering, reporting and analytical solutions across multiple business functions and domains.
• Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management.
• Demonstrate a rigorous and analytical problem-solving approach, leading information-gathering sessions and preparing and delivering client presentations and work products/prototypes.
• Identify data governance gaps and assess data governance maturity in a complex data environment. Should also be able to Identify the implications for data governance that arise from the technology, current processes, and skill levels in a complex data environment.

Data Architecture and Engineering

• Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
• Experience designing and building data platforms that support data lakes, data stores, data ingestion and transformations and API services for consuming data
• Ability to design and build complex data pipelines that either stream data in
• Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL
• Experience and knowledge of data integration tools and platforms
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Ability to design and build data models using the appropriate technics to meet business objectives
• In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies.

Advanced Analytics and Data Visualizations

• Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire
• Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods
• Experience and knowledge of programming and scripting languages such as, but not limited to, SQL, Python and R
• Experience with data modeling, data prep and machine learning tools like Alteryx, RapidMinder, RStudio and Tableau Prep
• Experience and knowledge of relational and dimensional database structures, theories, principles, and practice used in data warehousing and analytics solutions
• Experience deploying enterprise-wide reporting solutions while leveraging data visualization best practices

A career at SEI extends well beyond providing great service and thought leadership to our clients. Everyone takes an active role in building and managing our business, in an environment that runs counter to traditional consulting firms. Our consultants have a “seat at the table” and contribute to growing our business in ways that align to their interests such as growing business development opportunities, conducting interviews to support our hiring process, managing internal initiatives that build our brand or organizing trainings to share what you know with your colleagues. There is no telling what an SEI Consultant will be asked to do on a day-to-day basis – we do what it takes to get the job done.

QUALIFICATIONS

Required-

• Alignment to our core values: Excellence, Participation, Integrity and Collaboration
• Hungry, Humble, Smart
• Demonstrated business and technology acumen
• Strong written and verbal communication skills
• Understanding and experience solving real business problems
• Proven track record of delivering results
• Experience working with and/or leading a team
• Ability to work across industries, roles, functions & technologies
• Authorization for permanent employment in the United States (this position is not eligible for immigration sponsorship)

Preferred-

• Bachelor’s degree
• 8+ years professional experience
• Experience across our service offerings