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Senior Associate, Data & Analytics – Deals Insights & Analytics
PwCData & Analytics Senior Associate providing analytics-led deal insights for clients. Collaborating with diverse teams to enhance deal value through analytical workstreams across various sectors.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics and data science, utilizing Python, SQL, and Databricks to deliver actionable insights. Capable of translating complex data into clear, commercially relevant findings while effectively communicating with both technical and non-technical stakeholders.
Highest-signal resume keywords
Data AnalyticsPython ProgrammingSQL ProficiencyData VisualizationCoaching and Training
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisData ManipulationData InterpretationStatistical AnalysisAI-Enabled Tools
Soft Skills
Problem-SolvingCommunicationProactive ApproachTeam CollaborationCommercial Thinking
Tools & Technologies
DatabricksPower BIAPIsWeb DataIndustry Datasets
Industry Keywords
Data ScienceAnalytics DeliveryBusiness DevelopmentClient-Facing EnvironmentComplex Datasets
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Deliver analytics-led deal insight for clients, owning defined analytics workstreams within larger assignments.
- Design and deliver high-quality analysis and insights to meet a range of business needs.
- Develop analytics showcasing the drivers and equity story of a business.
- Create analytics to arm management with data-driven insights.
- Gather and understand data from multiple sources (e.g. APIs, web data, industry datasets).
- Use Python, SQL, Databricks for data manipulation and analysis.
- Translate technical expertise for non-technical stakeholders.
- Create reports, dashboards, and presentations, communicating findings effectively.
- Support business development and proposition development for new client problems.
- Raise technical standards by developing reusable analytical approaches, coaching Associates, and contributing to the quality of analytical delivery.
- Act as a business partner and strategic advisor, translating analysis for commercial questions.
Requirements
What you’ll need- Significant relevant experience in data analytics, data science, deals or a related analytical role.
- Degree in a STEM related subject (Science / Technology / Engineering / Mathematics), and a clear interest in how data and technology can be used to solve business problems.
- Strong practical experience using Python, Databricks and /or SQL to manipulate, analyse and interpret datasets, ideally in a professional or client-facing environment.
- Experience using AI-enabled tools to accelerate workflow development, improve analytical efficiency and support more scalable analytics delivery.
- Data visualisation and presenting insights in a clear and structured way (e.g. Power BI or similar).
- Experience working with, structuring or combining multiple data sources (including large or complex datasets).
- Experience of coaching / training juniors to support their development.
- Commercial thinking to complex problems, leveraging data analytics to generate insights and support decision-making.
- An ability to translate data and analysis into clear, commercially relevant insights.
- Strong problem-solving skills and the ability to approach ambiguous or complex questions.
- Confidence communicating technical concepts to non-technical stakeholders.
- A proactive approach, with the ability to learn quickly and work effectively as part of a team.
- Flexibility to travel throughout the UK.
Benefits
Comp & perks- empowered flexibility and a working week split between office, home and client site
- private medical cover and 24/7 access to a qualified virtual GP
- six volunteering days a year
- and much more.