Chapter lead Data Analyst | Virtual Assistants @ING Hubs Romania
ING
- București
- Permanent
- Full-time
- At ING, we embrace our tech side | 81% of our IT colleagues agree
- Participate in the recruitment of new talents
- Provide continuous coaching and mentoring by clarifying job responsibilities, setting performance expectations through the establishment of goals and job competencies, identifying skill gaps, creating development plans and evaluating performance
- People management of highly talented data analysts
- Collaborate closely with engineering, data scientists and business colleagues across the organization
- Act as a senior data analyst by delivering high quality results in your squad and providing technical guidance in your chapter working with technologies like SQL, Python and visualization tools
- Identify, analyze, and interpret trends or patterns in complex data sets (both structured and unstructured textual data) in collaboration with data scientists, in order to improve performance of our virtual assistants, based on Google DialogFlow
- Management of databases, data collection systems, data analytics and other strategies to optimize data quality. Analyze data and performance levels of our dialogue systems and proactively propose improvements
- Communicate these recommendations and provide data / analytical support to the stakeholders using both analytical and business jargon (written and oral)
- Work with the product owner to prioritize business and information needs, and accordingly implement them into an analytical approach
- SQL
- Data reporting & statistics
- An interest or experience in these tools (Python, SAS, Cognos, Webtrek or Adobe)
- Experience of doing it with Google DialogFlow
- Experience with Conversational AI and chat/callbot improvement of at least 1 year, in the area of discovery, creation, train and improvements of new intents
- Excellent communication skills, both verbally and in writing, to be able to align with various stakeholders on various levels
- Ability to interpret data, analyze results and deliver excellently substantiated data analyses using standard techniques and tools, which lead to improved business decisions or better data quality
- Good knowledge of database concepts and database designs
- Up to date with the latest industry standards and trends in the area of Data Analysis
- Ability to work with large amounts of data: facts, figures, and number crunching.
- Ability to apply high level analytical, statistical, and quantitative problem-solving skills to make actionable recommendations based on outcomes
- Understanding of Agile – Scrum methodology is considered a plus