PwC
Deal Data Technology & Analytics, Senior Associate
PwC, San Francisco, California, United States, 94199
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Deal Data Technology & Analytics, Senior Associate
role at
PwC . Specialty/Competency:
Deals Industry/Sector: Not Applicable Time Type: Full time Travel Requirements: Up to 20% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In Deals; data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn\'t clear, you ask questions, and you use these moments as opportunities to grow. Responsibilities
Analyze complex problems and provide actionable insights Automate repetitive data preparation, cleansing, and reporting tasks using AI-assisted pipelines and low-code/no-code tools Leverage data visualization tools and programming languages Apply Generative AI tools for rapid data synthesis, drafting, and insight generation across various stages of a deal Build and maintain scalable data pipelines and analytics workflows using platforms such as Databricks to accelerate due diligence, integration, and value creation analytics Develop and implement machine learning models for transaction risk assessment, customer churn prediction, synergy estimation, and financial performance forecasting Working with Private Equity deal teams to design and execute analytics solutions that drive investment decisions, operational improvements, and portfolio value creation Communicate effectively with business stakeholders and technologists Mentor and guide junior team members Build and nurture meaningful client relationships What You Must Have
Bachelor\'s Degree in Computer Science, Data Processing/Analytics/Science, Applied Mathematics, Statistics, Business Analytics, Finance, Accounting, Economics, Management Information Systems, Engineering 3 years of experience in the data and technology space What Sets You Apart
Master\'s Degree preferred Proficient in programming languages such as SQL, Python or R, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and natural language processing tools (e.g., spaCy, HuggingFace Transformers) Familiarity with data engineering pipelines (e.g., Azure Synapse Analytics, dbt, Apache Airflow) and AI/ML platforms such as Databricks, including experience with collaborative notebooks and scalable data processing Experience using Generative AI platforms (e.g., OpenAI API, Azure OpenAI, Claude, Google Gemini) for business process enhancement and insight generation Experience integrating analytics with cloud-native AI services (AWS SageMaker, Azure ML, Google Vertex AI) Consulting Industry experience Certifications in database programming such as Databricks, MS SQL Server, etc. and/or data visualization certifications such as PowerBI Experience with relational database models and writing Python/SQL queries Experience with data storytelling—turning analytical output into persuasive visual and narrative formats for senior stakeholders Proficiency with data visualization tools (e.g. Power BI, Tableau) Ability to prototype and iterate rapidly using modern analytics and AI tools, balancing speed with rigor Certifications within cloud technology platforms such as AWS, Azure, GCP, etc. Certifications within predictive modeling and/or machine learning platforms such as Python, SAS, etc. Proven track record of deploying AI/ML solutions in live business environments, ideally in M&A or transaction contexts Understanding of key financial statements and accounting principles Critical thinking and problem-solving capabilities Ability to navigate multiple engagements and competing priorities Learn more about how we work: https://pwc.to/how-we-work The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual\'s skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance Seniority level
Associate Employment type
Full-time Job function
Information Technology Industries: Accounting, Financial Services, and Business Consulting and Services Referrals increase your chances of interviewing at PwC by 2x
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Deal Data Technology & Analytics, Senior Associate
role at
PwC . Specialty/Competency:
Deals Industry/Sector: Not Applicable Time Type: Full time Travel Requirements: Up to 20% At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In Deals; data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn\'t clear, you ask questions, and you use these moments as opportunities to grow. Responsibilities
Analyze complex problems and provide actionable insights Automate repetitive data preparation, cleansing, and reporting tasks using AI-assisted pipelines and low-code/no-code tools Leverage data visualization tools and programming languages Apply Generative AI tools for rapid data synthesis, drafting, and insight generation across various stages of a deal Build and maintain scalable data pipelines and analytics workflows using platforms such as Databricks to accelerate due diligence, integration, and value creation analytics Develop and implement machine learning models for transaction risk assessment, customer churn prediction, synergy estimation, and financial performance forecasting Working with Private Equity deal teams to design and execute analytics solutions that drive investment decisions, operational improvements, and portfolio value creation Communicate effectively with business stakeholders and technologists Mentor and guide junior team members Build and nurture meaningful client relationships What You Must Have
Bachelor\'s Degree in Computer Science, Data Processing/Analytics/Science, Applied Mathematics, Statistics, Business Analytics, Finance, Accounting, Economics, Management Information Systems, Engineering 3 years of experience in the data and technology space What Sets You Apart
Master\'s Degree preferred Proficient in programming languages such as SQL, Python or R, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and natural language processing tools (e.g., spaCy, HuggingFace Transformers) Familiarity with data engineering pipelines (e.g., Azure Synapse Analytics, dbt, Apache Airflow) and AI/ML platforms such as Databricks, including experience with collaborative notebooks and scalable data processing Experience using Generative AI platforms (e.g., OpenAI API, Azure OpenAI, Claude, Google Gemini) for business process enhancement and insight generation Experience integrating analytics with cloud-native AI services (AWS SageMaker, Azure ML, Google Vertex AI) Consulting Industry experience Certifications in database programming such as Databricks, MS SQL Server, etc. and/or data visualization certifications such as PowerBI Experience with relational database models and writing Python/SQL queries Experience with data storytelling—turning analytical output into persuasive visual and narrative formats for senior stakeholders Proficiency with data visualization tools (e.g. Power BI, Tableau) Ability to prototype and iterate rapidly using modern analytics and AI tools, balancing speed with rigor Certifications within cloud technology platforms such as AWS, Azure, GCP, etc. Certifications within predictive modeling and/or machine learning platforms such as Python, SAS, etc. Proven track record of deploying AI/ML solutions in live business environments, ideally in M&A or transaction contexts Understanding of key financial statements and accounting principles Critical thinking and problem-solving capabilities Ability to navigate multiple engagements and competing priorities Learn more about how we work: https://pwc.to/how-we-work The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual\'s skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance Seniority level
Associate Employment type
Full-time Job function
Information Technology Industries: Accounting, Financial Services, and Business Consulting and Services Referrals increase your chances of interviewing at PwC by 2x
#J-18808-Ljbffr