Industry/Sector
Not ApplicableSpecialism
Managed ServicesManagement Level
AssociateJob Description & Summary
At PwC our people in finance consulting specialise in providing consulting services related to financial management and strategy. These individuals analyse client needs develop financial solutions and offer guidance and support to help clients optimise their financial performance improve decision-making and achieve their financial goals.Driven by curiosity you are a reliable contributing member of a our fast-paced environment you are expected to adapt to working with a variety of clients and team members each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm you build a brand for yourself opening doors to more opportunities.
Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:
Process: Other
Job Title: Data Analytics
Level: Associate
Position: 2
Role summary:
Data Analyticsrole you will support Finance Analytics by extracting andconsolidatingfinancial data for Tax and Regulatory Reporting working closely with Finance Product and Engineering teams tooptimizecash flow processes such as payments reconciliations and asset safeguarding. You will gather data from various sourcesincluding platform data external institutions market data and internal systemsand transform it into actionable insights through advanced data models and pipelines enhancing analytics for cash flow understanding and driving data-driven financial operations.
Key responsibilities:
Collaborate with stakeholders across Accounting Treasury Tax Regulatory Reporting and other Finance teams to extract analyze and interpret financial data.
Provide data-driven insights and actionable recommendations tooptimizeand streamline financial processes ensuring accuracy and efficiency.
Partner closely with Product and Engineering teams to drive new initiatives that support product launches and business growth.
Design develop andmaintainscalable high-quality data pipelines and financial data models that power internal dashboards and reporting tools.
Define and enforce data quality standards including building automated checks and contractual data quality enforcement mechanisms.
Identifyand troubleshoot issues in ELT pipelines and refactor SQL and Python code to improve performance reliability and data integrity.
Deliver smaller projects (e.g. automation toolsSlackbots test suites) independently and collaborate on larger projects with cross-functional guidance.
Act as a strategic partner to functional teams by designing project plans executing solutions and implementing robust data and reporting frameworks.
Collaborate with Data and Engineering teams to improve platform scalability through system enhancements and automation.
Develop interactive dashboards and visualizations to present complex financial insights clearly to stakeholders at all levels.
Contribute activelyinteam meetings by providing feedback suggesting improvements and sharing best practices.
Help define data models contracts and frameworks to support ongoing scaling and performance needs of financial data systems.
Maintain documentation for data processes pipelines quality checks and project workflows to foster transparency and knowledge sharing.
Stay updated on industry trends compliance requirements and emerging technologies to continuously enhance data capabilities within Finance.
Support audit and compliance activities by ensuring data accuracy traceability and governance alignment.
Required qualifications:
3years of relevant experience in data engineering data processing (ETL) or related roles.
Strongproficiencyin writing clean understandable SQL queries and Python scripting.
Solid experience building andmaintainingdata pipelines.
Basic knowledge of data modeling schema design and data architecture best practices.
Experience working with Apache Airflow or similar orchestration systems.
Strong understanding of key finance principles and products within Accounting and Treasury domains with eagerness to learn.
Ability to independently create documentation for data projects and requests.
Self-starter with strong multitasking skills and ability to collaborate effectively across cross-functional teams.
Bachelors Degree in Engineering Computer Science or equivalent practical experience.
Demonstrated cultural alignment: clear communication positive energy continuous learningownershipmentality and efficient execution.
Preferred Qualifications:
Demonstrated increasing knowledge of the companys data engineering tooling.
Experienceleveraginglocal Airflow environments and testing tools within an efficient workflow.
Familiarity with best practices around data pipeline scalability automation and contract enforcement.
Prior experience working closely with Finance Accounting Treasury or related business functions.
Tools:
SQL (PostgreSQL MySQL Snowflake RedshiftBigQuery)
Python for scripting data transformation and automation
Apache Airflow for pipeline orchestration and scheduling
Data warehousing platforms like Snowflake Redshift orBigQuery
Data modeling and schema design tools such asdbt ER/Studio orERwin
APIs and connectors for integrating data from financial systems and external sources
Version control systems like Git GitHub or GitLab
Unit testing frameworks for Python (pytestunittest)
Data quality monitoring tools such as Great Expectations or Monte Carlo
BI and visualization tools like Tableau Looker or Power BI
Documentation and collaboration tools such as Confluence Google Docs or Notion
Communication and automation platforms like Slack or Microsoft Teams
Travel Requirements
Not SpecifiedJob Posting End Date
Required Experience:
IC
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