Insights Factory-Data & Analytics Engineer-Senior Associate
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Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Industry/Sector
Not ApplicableSpecialism
Advisory - OtherManagement Level
Senior AssociateJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models conducting statistical analysis and creating data visualisations to solve complex business problems.
You will play a crucial role in organizing & maintaining proprietary datasets and transforming data into insights & visualizations that drive strategic decisions for our clients and the firm. Youll work closely with the industry leader & a number of cross-functional retail & consumer advisory tax and assurance professional teams to develop high-impact commercially relevant insights to infuse into thought leadership external media engagement demand generation client pursuits & delivery enablement.
Knowledge and Skills Preferred
Demonstrates in- depth level abilities and/or a proven record of success managing efforts with identifying and addressing client needs:
As a critical member of a team of the data science team you will maintain and analyze large complex datasets to uncover insights that inform topics across the Financial Services sector.
Support in the identification of new cutting-edge datasets that add to the firms differentiation amongst competitors and clients;
Support in building predictive models and data-led tools;
Design and conduct experiments (A/B testing market basket analysis etc.) to measure the effectiveness of new approaches and drive continuous improvement;
Partner with US team to translate analytical findings into actionable recommendations and compelling stories;
Develop dashboards and reports using tools like Tableau Power BI or Looker to support self-service analytics and decision-making;
Stay up to date and ahead of industry trends customer behavior patterns and emerging technologies in the aligned sector.
Experience managing high performing data science and commercial analytics teams;
Strong SQL and Alteryx skills and proficiency in Python and/or R for data manipulation and modeling;
Experience applying machine learning or statistical techniques to real-world business problems;
Solid understanding of key Industry specific metrics
Proven ability to explain complex data concepts to non-technical stakeholders;
Experience with Industry specific datasets and vendors
Knowledge of geospatial or time-series analysis and
Prior work with commercial analytics and insights
- 4-8 yearsin analytics engineering data consulting BI/analytics delivery or adjacent roles with end-to-end ownership.
- StrongSQLanddata modelingfundamentals (dimensional modeling metric design data cleanliness principles).
- Pythonfor analysis and automation (pandas APIs scripting workflow automation).
- Proven ability to communicate with senior stakeholders: strong interpersonal communication structured thinking clear documentation.
- A track record of translating ambiguity into shipped outcomes (not just executing tasks).
- Experience withDatabricks(Spark basics notebooks/jobs Delta patterns) and/orAzure(storage access patterns data services).
- Familiarity with modern ELT tools and practices (dbt orchestration CI/CD for data monitoring).
- Financial Services domain experience (banking insurance capital markets risk/compliance).
- Power BI skills (semantic modeling DAX Power Query)useful but not the center of the role.
- You bringclaritywhen requirements are fuzzy (and you document decisions).
- You spot blockers early and propose mitigation rather than waiting for direction.
- You communicate proactivelystatus risks scope changeswith no surprises.
- You take ownership of the last mile: the insight is clear the output is usable and the stakeholder knows what to do next.
- You care about impact and value more than activityand you push toward the highest leverage work.
Travel Requirements
Not SpecifiedJob Posting End Date
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more
