MSP - FMS - Data Analytics– DCM – Associate-Consult at pwc

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

29 May, 26

Salary

0.0

Posted On

28 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Pipelines, Data Modeling, Apache Airflow, ETL, Data Quality, Data Architecture, Treasury, Accounting, Data Visualization, Git, Automation, Stakeholder Collaboration, Financial Reporting, Cash Flow Optimization

Industry

Professional Services

Description

Industry/Sector Not Applicable Specialism Managed Services Management Level Associate Job 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. In financial operations at PwC, you will specialise in improving the efficiency and effectiveness of financial operations within organisations. Your work will involve assessing financial processes, identify areas for improvement, and design and implement solutions to streamline financial operations, enhance controls, and reduce costs. You will be responsible for providing guidance on financial systems implementation, process automation, and financial shared services. Driven by curiosity, you are a reliable, contributing member of a team. In 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: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Process: Other Job Title: Data Analytics Level: Associate Position: 2 Role summary: Data Analytics role, you will support Finance Analytics by extracting and consolidating financial data for Tax and Regulatory Reporting, working closely with Finance, Product, and Engineering teams to optimize cash flow processes such as payments, reconciliations, and asset safeguarding. You will gather data from various sources including platform data, external institutions, market data, and internal systems and 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 to optimize and 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, and maintain scalable, 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. Identify and troubleshoot issues in ELT pipelines, and refactor SQL and Python code to improve performance, reliability, and data integrity. Deliver smaller projects (e.g., automation tools, Slackbots, 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 actively in team 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: 3 years of relevant experience in data engineering, data processing (ETL), or related roles. Strong proficiency in writing clean, understandable SQL queries and Python scripting. Solid experience building and maintaining data 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. Bachelor’s Degree in Engineering, Computer Science, or equivalent practical experience. Demonstrated cultural alignment: clear communication, positive energy, continuous learning, ownership mentality, and efficient execution. Preferred Qualifications: Demonstrated increasing knowledge of the company’s data engineering tooling. Experience leveraging local 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, Redshift, BigQuery) Python for scripting, data transformation, and automation Apache Airflow for pipeline orchestration and scheduling Data warehousing platforms like Snowflake, Redshift, or BigQuery Data modeling and schema design tools such as dbt, ER/Studio, or ERwin 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 (pytest, unittest) 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 Specified Job Posting End Date Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

The role involves supporting Finance Analytics by extracting and consolidating financial data for Tax and Regulatory Reporting, working closely with various teams to optimize cash flow processes like payments and reconciliations. Key duties include designing and maintaining scalable data pipelines and financial data models, defining data quality standards, and delivering data-driven insights to stakeholders.