Operations and Transformation Analyst

Description Data Analyst Specialist You will drive operational excellence and enable business transformation by leveraging advanced data analysis, process mining and automation technologies such as RPA and AI. Your role will focus on identifying opportunities for improvement, delivering actionable insights and implementing solutions that enhance efficiency and scalability. By combining analytical expertise with innovative tools you will support informed decision-making and foster a culture of continuous improvement across the organization. Find out more here about how you can unleash your full potential at DLL Day to day : Analyze operational data to identify trends and improvement opportunities. Develop dashboards and visual reports using Excel and Power BI. Build and maintain automated workflows with MS Power Automate. Manage simple SQL queries for data extraction and validation. Manage projects timelines and stakeholders to ensure delivery. Collaborate with cross-functional teams to drive process changes. Apply problem‑solving skills to optimize operations and reduce inefficiencies. Communicate insights clearly to influence decisions and strategies. Support implementation of process improvement methodologies. Explore and apply emerging AI capabilities to enhance process intelligence. All members enjoy Two working days per year volunteering for a local charity. Health and Wellness program including healthy food, free health checks and fun health & vitality activities. Flexible hours with possibility to work from home. Career development opportunities: online learning and member development programs. Click this link for an overview of all the benefits in your region. We lead the way in meeting the need for flexibility and transparency which our customers increasingly expect. Essentials : Hold a bachelor’s degree in business engineering and 3-5 years of experience. Previous experience in the Financial Services sector. Demonstrate intermediate experience in data analysis and visualization. Show advanced proficiency in Microsoft Excel (pivot tables, formulas). Have basic knowledge of SQL for data extraction and validation. Knowledge of RPA workflows using MS Power Automate. Apply intermediate project management skills to deliver initiatives. Communicate effectively with stakeholders at all organisational levels. Exhibit strong problem‑solving and analytical thinking capabilities. Understand process improvement methodologies. Italian native level; English C1 level. Extras : Certification in process improvement methodologies (Lean Six Sigma). Familiarity with advanced data visualization tools beyond Power BI. Basic knowledge of scripting languages (Python, VBA) for automation. Previous experience in transformation projects within large organisations. Choose wellbeing DLLs wellbeing ambition is to educate, equip and empower members to build connections, manage their mental, emotional, physical and financial wellness and maintain balance between work and other priorities that make up their lives. Our four wellbeing categories are as follows : Connection – Build meaningful connections with other DLL members. Health – Manage mental, emotional and physical health. Finance – Provide learning opportunities to help members achieve personal financial health. Lifestyle – Maintain balance between work and life priorities. These are the things that matter to our members and the wellbeing of our members matters to DLL. Good to know : Due to high volume of applications this requisition may close prior to the posted close date. The selection process may involve an assessment. Applications via email will not be reviewed. Please apply online via our career website. #LI-DC1 DLLs referral programme applies. For more information please contact our Talent Acquisition Partner Dafne Cardinaux via email. DLL appreciates the time you spend applying to our openings. We advise only those who qualify for an interview will be contacted. Hiring subject to successful completion of a background check. DLL is an equal opportunity employer. We are committed to inclusive, barrier‑free recruitment and selection processes and work environments. If contacted for an employment opportunity please advise Human Resources if you require accommodation in accordance with our values and all applicable legislation. Employment Type: Full‑Time Vacancy: 1 #J-18808-Ljbffr