Portage Point Partners is a Chicago-headquartered advisory interim management and investment banking firm focused on serving the middle-market. Backed by New Mountain Capital the firm has grown at over 30% annually since its founding in 2016 and today operates from ten offices across the United States.
The firm delivers integrated financial and operational solutions across Transaction Advisory Services Transaction Execution Services Office of the CFO Valuations Performance Improvement Turnaround & Restructuring and Investment Banking. Engagement teams are lean and execution-oriented working directly with senior stakeholders to navigate complex transitions and transformations.
Triple P India (TPI) is a strategic extension of the firms platform established to build a high-quality team that operates as an integrated part of U.S.-based teams. Professionals in TPI are involved in live engagements from the outset contributing to analysis execution and client deliverables in coordination with colleagues across the firm. The platform is designed to provide meaningful responsibility direct exposure to senior leadership and long-term growth in a high-performance environment.
The Data Analytics team serves as a strategic capability across Portage Point enabling business intelligence operational reporting workflow automation enterprise applications and emerging AI initiatives. This team partners with leaders across the firm to deliver scalable technology solutions that improve decision-making enhance operational efficiency and support continued growth. Data Analytics team members are responsible for supporting and advancing the firms data reporting automation and application development platforms.
The Senior Associate Data Analytics represents a unique opportunity to assume a wide range of responsibilities and make a significant impact. This Senior Associate will join a high-growth team responsible for building and scaling the data foundation that powers reporting analytics automation and strategic decision-making across the firm. The Senior Associate Data Analytics will report directly into the local Vice President Data Analytics and lead work with firm leadership and business stakeholders to develop solutions that drive measurable operational impact. This Senior Associate will play a key role in designing developing and maintaining Portage Points modern analytics ecosystem leveraging Snowflake dbt Airflow Power BI and Azure.
Responsibilities
Partner with senior team members application developers platform engineers and stakeholders across the firm to translate business requirements into scalable tech solutions
Design develop and maintain ELT pipelines and enterprise data solutions
Build and optimize Snowflake data models warehouse structures and analytics datasets
Develop and maintain dbt transformation frameworks and testing processes
Design implement and support Airflow orchestration workflows
Build semantic models and datasets supporting enterprise Power BI reporting
Develop reusable data assets that support business intelligence automation and AI initiatives
Ensure data quality reliability governance and performance across the analytics platform
Support executive reporting KPI development and self-service analytics initiatives
Share and manage best practices as well as lead internal trainings where required
Support talent acquisition and firm development efforts
Contribute to creating a high-performing and inclusive culture
Qualifications
Bachelors degree in Computer Science Engineering Information Systems or Mathematics from a top undergraduate program required
Four plus years of experience in data engineering analytics engineering and / or business intelligence preferably at a top-tier advisory firm serving U.S. clients
Experience leveraging AI-assisted development tools and modern AI technologies to accelerate data engineering analytics and automation initiatives
Advanced SQL and Python development experience
Proficient in GitHub-based software development workflows including version control feature branching pull requests code reviews release management and collaborative software development best practices
Hands-on expertise working with Snowflake and within Azure cloud environments
Experience developing and maintaining dbt projects
Experience building and supporting Airflow workflows
Experience developing Power BI semantic models datasets and reporting solutions
Strong understanding of dimensional modeling data warehousing and analytics best practices
Experience creating and supporting AI and automation initiatives with familiarity using Power Apps and Power Automate
Experience implementing enterprise data governance and data quality frameworks
Superior written and verbal communication skills including executive-ready presentation and reporting skills
Proven ability to thrive in lean fast-moving teams
High attention to detail responsiveness and ownership mindset
Track record of success in high-pressure
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
Portage Point Partners is a Chicago-headquartered advisory interim management and investment banking firm focused on serving the middle-market. Backed by New Mountain Capital the firm has grown at over 30% annually since its founding in 2016 and today operates from ten offices across the United Stat...
Portage Point Partners is a Chicago-headquartered advisory interim management and investment banking firm focused on serving the middle-market. Backed by New Mountain Capital the firm has grown at over 30% annually since its founding in 2016 and today operates from ten offices across the United States.
The firm delivers integrated financial and operational solutions across Transaction Advisory Services Transaction Execution Services Office of the CFO Valuations Performance Improvement Turnaround & Restructuring and Investment Banking. Engagement teams are lean and execution-oriented working directly with senior stakeholders to navigate complex transitions and transformations.
Triple P India (TPI) is a strategic extension of the firms platform established to build a high-quality team that operates as an integrated part of U.S.-based teams. Professionals in TPI are involved in live engagements from the outset contributing to analysis execution and client deliverables in coordination with colleagues across the firm. The platform is designed to provide meaningful responsibility direct exposure to senior leadership and long-term growth in a high-performance environment.
The Data Analytics team serves as a strategic capability across Portage Point enabling business intelligence operational reporting workflow automation enterprise applications and emerging AI initiatives. This team partners with leaders across the firm to deliver scalable technology solutions that improve decision-making enhance operational efficiency and support continued growth. Data Analytics team members are responsible for supporting and advancing the firms data reporting automation and application development platforms.
The Senior Associate Data Analytics represents a unique opportunity to assume a wide range of responsibilities and make a significant impact. This Senior Associate will join a high-growth team responsible for building and scaling the data foundation that powers reporting analytics automation and strategic decision-making across the firm. The Senior Associate Data Analytics will report directly into the local Vice President Data Analytics and lead work with firm leadership and business stakeholders to develop solutions that drive measurable operational impact. This Senior Associate will play a key role in designing developing and maintaining Portage Points modern analytics ecosystem leveraging Snowflake dbt Airflow Power BI and Azure.
Responsibilities
Partner with senior team members application developers platform engineers and stakeholders across the firm to translate business requirements into scalable tech solutions
Design develop and maintain ELT pipelines and enterprise data solutions
Build and optimize Snowflake data models warehouse structures and analytics datasets
Develop and maintain dbt transformation frameworks and testing processes
Design implement and support Airflow orchestration workflows
Build semantic models and datasets supporting enterprise Power BI reporting
Develop reusable data assets that support business intelligence automation and AI initiatives
Ensure data quality reliability governance and performance across the analytics platform
Support executive reporting KPI development and self-service analytics initiatives
Share and manage best practices as well as lead internal trainings where required
Support talent acquisition and firm development efforts
Contribute to creating a high-performing and inclusive culture
Qualifications
Bachelors degree in Computer Science Engineering Information Systems or Mathematics from a top undergraduate program required
Four plus years of experience in data engineering analytics engineering and / or business intelligence preferably at a top-tier advisory firm serving U.S. clients
Experience leveraging AI-assisted development tools and modern AI technologies to accelerate data engineering analytics and automation initiatives
Advanced SQL and Python development experience
Proficient in GitHub-based software development workflows including version control feature branching pull requests code reviews release management and collaborative software development best practices
Hands-on expertise working with Snowflake and within Azure cloud environments
Experience developing and maintaining dbt projects
Experience building and supporting Airflow workflows
Experience developing Power BI semantic models datasets and reporting solutions
Strong understanding of dimensional modeling data warehousing and analytics best practices
Experience creating and supporting AI and automation initiatives with familiarity using Power Apps and Power Automate
Experience implementing enterprise data governance and data quality frameworks
Superior written and verbal communication skills including executive-ready presentation and reporting skills
Proven ability to thrive in lean fast-moving teams
High attention to detail responsiveness and ownership mindset
Track record of success in high-pressure
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
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