Senior Business Analyst - Process Optimization
Senior Business Analyst - Process Optimization
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Job Description
What its all about:
We are seeking a highly skilled and experienced Senior Process Automation Expert to join our dynamic team. The ideal candidate will have extensive experience in using data to analyse process pain points and deliver improvements using appropriate automation software and tools. This role requires the individual to have hands-on experience in automating workflows using Power Apps RPA and related technologies. As a technical specialist you will engage with colleagues from different functions and become the go to expert in simplifying processes through connected workflows and automating process steps. Your expertise will play a pivotal role in driving our organizations automation and AI initiatives in transforming our processes to achieve greater efficiency and effectiveness.
Key responsibilities:
- Identify automation opportunities across cross-functional processes and recommend appropriate solutions that drive significant improvements in user experience operational efficiency and process velocity
- Influence senior leaders by developing impactful proof of concept solutions and by communicating technical concepts in a clear and concise manner
- Design build and integrate workflow and automation tools with existing systems and processes. Optimize to ensure they meet business goals and performance metrics
- Support and supervise third party contractors in the execution of process automation projects
- Collaborate and sustain high-trust relationships with project stakeholders through robust project management documentation and communication
Additional information
- Reports to the Head of Data Science for Internal Clients in Europe
Hybrid work arrangement:
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 3 set days a week (Tuesday - Thursday) with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications :
What were after
- Extensive experience in data science and analytical functions
- Graduate/Post Graduate degree (Masters or Ph.D.) in Quantitative field such as Statistics Mathematics Operational Research Computer Science Economics or engineering or equivalent experience
- Results oriented with strong analytical consultative and problem-solving skills with demonstrated intellectual and analytical rigor
- Hands-on experience with modern distributed systems including both Hadoop/SQL and Apache Spark
- Hands-on experience with one or more data analytics/programming tools such as R/Python
- Experience in the application of predictive modelling and machine learning technique to business problems
- Experience planning organizing and managing end to end projects with diverse cross-functional teams
- Ability to communicate with impact with a senior business audience and experience of having worked in a consulting-like environment and client-facing project roles
Preferred Qualifications
- Experience working in payments industry (bank credit reference agencies Fintech) or management-consulting firm.
- Hands on experience on processing extremely large data sets. Knowledge of payment network transactional data is a plus
- Deep understanding of Payments and Banking Industry including Consumer Credit Consumer debit Prepaid Small Business Commercial Co-Brand and Merchant
- Experience building and cultivating teams
- Team oriented collaborative diplomatic and flexible style with the ability to tailor data driven results to various audience levels
- Proven skills in translating analytics output to actionable recommendations and delivery
- Fluency in English
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
