Deal Data Technology & Analytics, Senior Associate jobs in United States
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PwC Experience Center Stockholm · 3 weeks ago

Deal Data Technology & Analytics, Senior Associate

PwC is a leading professional services firm, and they are seeking a Senior Associate for their Deals (M&A) Tech & Data team. This role involves leveraging advanced analytics and emerging technologies to provide actionable insights for complex business problems, particularly in the context of M&A scenarios, while also mentoring junior team members and building client relationships.

Consulting
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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

Qualification

Data analysisMachine learningData visualizationProgramming languagesData engineeringGenerative AICloud technologyData storytellingCritical thinkingProblem-solving

Required

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

Preferred

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

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave
And more

Company

PwC Experience Center Stockholm

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PwC Experience Center Stockholm is a Design Services industry.

Funding

Current Stage
Growth Stage
Company data provided by crunchbase