PwC
Deal Data Technology & Analytics, Experienced Associate
PwC, San Francisco, California, United States, 94199
Deal Data Technology & Analytics, Experienced Associate
Join to apply for the
Deal Data Technology & Analytics, Experienced Associate
role at
PwC
Overview At PwC, our people in Deals, M&A – 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 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.
Key Responsibilities
Execute analyses of complex problems and deliver actionable, data‑driven insights
Build and automate scalable data pipelines, cleansing, reporting, and workflows using Databricks, low‑code/no‑code tools, and AI‑assisted pipelines
Apply Generative AI and machine learning models for data synthesis, risk assessment, churn prediction, synergy estimation, and financial forecasting
Leverage programming languages and data visualisation tools to communicate insights clearly and effectively
Support Private Equity deal teams by designing and delivering analytics solutions that drive investment decisions, operational improvements, and portfolio value creation
Maintain high‑quality deliverables, communicate effectively with stakeholders, and contribute to strong client relationships through proactive engagement
Qualifications
Bachelor’s degree in fields involving Engineering, Computer Science, Data Science, Applied Mathematics/Statistics, Analytics, Finance, or Accounting
2+ years of experience across data and technology including client‑facing consulting work
What Sets You Apart
Master’s degree and demonstrated consulting and deals/M&A experience
Certifications in databases (Databricks, MS SQL), visualisation tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modelling/ML (Python, SAS)
Proficiency in SQL, Python, or R, with experience in machine learning frameworks (TensorFlow, PyTorch, Scikit‑learn) and NLP tools (spaCy, HuggingFace)
Proficiency in data visualisation (Power BI, Tableau), and data storytelling – translating analytics into persuasive outputs for senior stakeholders
Demonstrated ability to prototype rapidly, balance multiple priorities, and deploy AI/ML solutions in live business environments, ideally in M&A contexts
Strong financial acumen with understanding of key financial statements, along with critical thinking and problem‑solving skills
Familiarity with data engineering pipelines (Azure Synapse, dbt, Apache Airflow) and AI/ML platforms (Databricks), including scalable processing and collaborative notebooks
Experience with Generative AI platforms (OpenAI, Azure OpenAI, Claude, Gemini) and integrating analytics with cloud‑native AI services (AWS SageMaker, Azure ML, Google Vertex AI)
Ability to travel up to 30%
Compensation and Benefits The salary range for this position is: $63,000 – $140,000, 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, 401(k), holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit:
https://pwc.to/benefits-at-a-glance
EEO Statement PwC is an equal‑opportunity employer. All qualified applicants will receive consideration for employment at PwC without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran, marital, or citizenship status, or any other status protected by law.
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for employment in accordance with these laws.
Additional Information Learn more about how we work:
https://pwc.to/how-we-work
#J-18808-Ljbffr
Deal Data Technology & Analytics, Experienced Associate
role at
PwC
Overview At PwC, our people in Deals, M&A – 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 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.
Key Responsibilities
Execute analyses of complex problems and deliver actionable, data‑driven insights
Build and automate scalable data pipelines, cleansing, reporting, and workflows using Databricks, low‑code/no‑code tools, and AI‑assisted pipelines
Apply Generative AI and machine learning models for data synthesis, risk assessment, churn prediction, synergy estimation, and financial forecasting
Leverage programming languages and data visualisation tools to communicate insights clearly and effectively
Support Private Equity deal teams by designing and delivering analytics solutions that drive investment decisions, operational improvements, and portfolio value creation
Maintain high‑quality deliverables, communicate effectively with stakeholders, and contribute to strong client relationships through proactive engagement
Qualifications
Bachelor’s degree in fields involving Engineering, Computer Science, Data Science, Applied Mathematics/Statistics, Analytics, Finance, or Accounting
2+ years of experience across data and technology including client‑facing consulting work
What Sets You Apart
Master’s degree and demonstrated consulting and deals/M&A experience
Certifications in databases (Databricks, MS SQL), visualisation tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modelling/ML (Python, SAS)
Proficiency in SQL, Python, or R, with experience in machine learning frameworks (TensorFlow, PyTorch, Scikit‑learn) and NLP tools (spaCy, HuggingFace)
Proficiency in data visualisation (Power BI, Tableau), and data storytelling – translating analytics into persuasive outputs for senior stakeholders
Demonstrated ability to prototype rapidly, balance multiple priorities, and deploy AI/ML solutions in live business environments, ideally in M&A contexts
Strong financial acumen with understanding of key financial statements, along with critical thinking and problem‑solving skills
Familiarity with data engineering pipelines (Azure Synapse, dbt, Apache Airflow) and AI/ML platforms (Databricks), including scalable processing and collaborative notebooks
Experience with Generative AI platforms (OpenAI, Azure OpenAI, Claude, Gemini) and integrating analytics with cloud‑native AI services (AWS SageMaker, Azure ML, Google Vertex AI)
Ability to travel up to 30%
Compensation and Benefits The salary range for this position is: $63,000 – $140,000, 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, 401(k), holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit:
https://pwc.to/benefits-at-a-glance
EEO Statement PwC is an equal‑opportunity employer. All qualified applicants will receive consideration for employment at PwC without regard to race, color, religion, national origin, sex, age, disability, genetic information, veteran, marital, or citizenship status, or any other status protected by law.
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for employment in accordance with these laws.
Additional Information Learn more about how we work:
https://pwc.to/how-we-work
#J-18808-Ljbffr