Finance Analyst (Exp in SQL, PowerBi, Python is must have, along with GenAI skills)

Global Controllership is responsible for establishing Visa’s global accounting policies, providing technical guidance to the business, processing accounting transactions globally and consolidating all Visa entities’ financial results.   The Controllership Data and Process Excellence (CDPE) team designs and builds critical tools, leads innovations in business intelligence and automates business processes for the Controllership functions. Along with enhancing the tools and control processes, we aim to promote data governance, process efficiency and reporting accuracy within Global Controllership.   What a Finance Analyst does at Visa? CDPE is seeking a Finance Analyst to maintain and enhance tools and applications for optimizing data and process efficiency across Controllership functions.   Essential Functions: Enable Automated Self-Service Reporting: Maintain effective data operations for reporting and control processes Design develop and deliver dashboard and supporting data model developments Enhance current data analytics tools and platforms to facilitate user-driven analysis and business decision-making Responsible for analyzing source data, facilitating drill throughs and delivering insights Identify and implement automation opportunities on existing processes Champion Process Excellence and Data Governance: Ensure robust documentation for operating procedures and user guides on the data analytics tools and platforms Identify potential business risk areas and suggest improvements on data governance and process controls   Why is the role important to Visa: The Controllership function in Visa is responsible for financial risk and controls management across Visa’s businesses, allowing business to be conducted in a safe and sustainable manner. The CDPE team plays a vital role in generating reports, tools and analytics to communicate, measure and mitigate risks across Visa’s business lines. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.    Qualifikationen Basic Qualifications: 3 or more years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) Preferred Qualifications: Bachelor’s degree in a STEM/Finance field required.  Advanced degree (Master’s, MBA, or equivalent) in Data Analytics or a related discipline strongly preferred. Minimum of 3 years of progressive, hands-on experience in business analytics with a proven track record of success Experience with SQL for data extraction, transformation, and analysis Skilled in Microsoft Power Platform for automating workflows, including Power Automate and PowerApps   Advanced skills in PowerQuery and Python for data analytics Experience in designing and building dashboards for a broad audience in Power BI Proficient in data analytics – Analyzing voluminous data, designing and optimizing data processing pipelines, and aggregating multiple data sources Ability to quickly learn and adapt to new tools, technologies, and software platforms. Strong in communication, presentation and problem-solving, with attention to details What will also help: Postgraduate qualification in Data Analytics or a relevant technical degree Highly adaptable initiative-taker willing to utilize innovative technology to improve tools and processes Strong analytical and critical thinking skills, with practical experience in financial or statistical modelling and quantitative analysis of large datasets Self-starter who can responsibly advance work and is comfortable making sound, well-informed judgement calls for progress