7 okt 2024
Chapter lead Data Analyst - Tribe Wholesale Banking Analytics - ING Analytics
| Branche | Zie onder |
| Dienstverband | Zie onder |
| Uren | Zie onder |
| Locatie | Amsterdam |
| Opleidingsniveau | Zie onder |
| Organisatie | ING Netherlands |
| Contactpersoon | Zie onder |
Informatie
Chapter lead Data Analyst | Tribe Wholesale Banking Analytics - ING Analytics
ING's purpose is to empower people to stay a step ahead in life and in business. Our strategy is built around our purpose and making the difference for people and the planet. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, omni-channel distribution strategy and international network. If you want to work at a place where we believe that you can make the difference by using machine learning to generate data driven products and solve the most pressing business challenges, please read on.
ING Analytics
ING Analytics is a unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of tribes around the bank's key domains (such as Operations, Retail Banking, Wholesale banking, etc.), local country analytics teams, as well as strong support areas around data management, technology, customer journey, UX, and external partnerships.
We are incredibly excited about Analytics and the great potential for progress and innovation. We believe that analytics is a key differentiator in bringing superior customer experience. We wish to improve our operational processes and create new and innovative data-driven products that go beyond traditional banking, such as the platform models.
Chapter Data Analyst - Tribe Wholesale Banking Analytics
The tribe Wholesale Banking Analytics' purpose is to build and maintain analytics products for ING's Wholesale Banking domain and drive adoption and scaling of analytics products to create maximum value for ING and its customers. The Tribe is organized in multiple product delivery squads, Data Scientist Chapter, User Research Chapter and Data Analyst Chapter.
Data Analyst Chapter is to craft a set of skills and techniques used to explore data sources for the analytics product, extract insights and knowledge from the data. It encompasses activities such as collecting, exploring, cleaning, organising, visualising, and transforming data.
The Mission:
We seek an enthusiastic Chapter Lead with a passion for data and people!
You will play a crucial role in creating the data-driven culture. You will be responsible for developing a data analyst team, at the same time, delivering valuable insights generating business impact.
The Chapter Lead's role is to build, manage and develop a team of data analysts and also to work as a senior data analyst in a product squad.
Your Day-to-Day:
People 50%
ING's purpose is to empower people to stay a step ahead in life and in business. Our strategy is built around our purpose and making the difference for people and the planet. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, omni-channel distribution strategy and international network. If you want to work at a place where we believe that you can make the difference by using machine learning to generate data driven products and solve the most pressing business challenges, please read on.
ING Analytics
ING Analytics is a unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of tribes around the bank's key domains (such as Operations, Retail Banking, Wholesale banking, etc.), local country analytics teams, as well as strong support areas around data management, technology, customer journey, UX, and external partnerships.
We are incredibly excited about Analytics and the great potential for progress and innovation. We believe that analytics is a key differentiator in bringing superior customer experience. We wish to improve our operational processes and create new and innovative data-driven products that go beyond traditional banking, such as the platform models.
Chapter Data Analyst - Tribe Wholesale Banking Analytics
The tribe Wholesale Banking Analytics' purpose is to build and maintain analytics products for ING's Wholesale Banking domain and drive adoption and scaling of analytics products to create maximum value for ING and its customers. The Tribe is organized in multiple product delivery squads, Data Scientist Chapter, User Research Chapter and Data Analyst Chapter.
Data Analyst Chapter is to craft a set of skills and techniques used to explore data sources for the analytics product, extract insights and knowledge from the data. It encompasses activities such as collecting, exploring, cleaning, organising, visualising, and transforming data.
The Mission:
We seek an enthusiastic Chapter Lead with a passion for data and people!
You will play a crucial role in creating the data-driven culture. You will be responsible for developing a data analyst team, at the same time, delivering valuable insights generating business impact.
The Chapter Lead's role is to build, manage and develop a team of data analysts and also to work as a senior data analyst in a product squad.
Your Day-to-Day:
People 50%
- Participate in the recruitment of new talents
- Provide continuous coaching and mentoring - clarify common job responsibilities, set performance expectations to best deliver a product, identify areas to improve in team members' capabilities and implement improvements.
- People management of highly talented data analysts - Allocate data analysts in the right product team based on their skills, knowledge and career goal. Identify / evaluate high and low performer and provide right rewards or improvement plans. Provide right support to the team members if they struggle in their work.
- Collaborate closely with different stakeholders from IT, data science, user research, product delivery squads and business areas across Wholesale Bank organization
- Work as a senior data analyst and deliver high quality data analysis. Also, provide guidance to Junior and Medior level data analysts.
- Identify, analyze, and interpret trends or patterns in complex data sets using programming language / software for data analysis such as SQL, Python , PowerBi and Superset.
- Explore and investigate the data sources and their availability in different data consumption systems ( , Data Lakes, Data Marts, Data Analytics Platform)
- Collaborate closely with Data Engineers and Data Scientists to build an analytics product.
- Support business in their decision-making by providing insights driven from data
- Provide data / analytical support to the stakeholders using both analytical and business jargon (written and oral)
- Support Digitization / Automation of processes with data collection, analysis and reporting solutions
- Experience: 2 years' experience in coordination roles and at 3-5 years of experience in data analytics, data visualization or/and statistics
- Tech stack/ knowledge:
- Mandatory:
- SQL
- Python (especially Pyspark)
- Sound experience in data analytics/visualization tools such as PowerBI, Tableau, Cognos;
- Data reporting & statistics
- Passion in People Management and Mentoring People
- Nice to have:
- Experiences in working with...
Omschrijving
Chapter lead Data Analyst | Tribe Wholesale Banking Analytics - ING Analytics
ING's purpose is to empower people to stay a step ahead in life and in business. Our strategy is built around our purpose and making the difference for people and the planet. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, omni-channel distribution strategy and international network. If you want to work at a place where we believe that you can make the difference by using machine learning to generate data driven products and solve the most pressing business challenges, please read on.
ING Analytics
ING Analytics is a unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of tribes around the bank's key domains (such as Operations, Retail Banking, Wholesale banking, etc.), local country analytics teams, as well as strong support areas around data management, technology, customer journey, UX, and external partnerships.
We are incredibly excited about Analytics and the great potential for progress and innovation. We believe that analytics is a key differentiator in bringing superior customer experience. We wish to improve our operational processes and create new and innovative data-driven products that go beyond traditional banking, such as the platform models.
Chapter Data Analyst - Tribe Wholesale Banking Analytics
The tribe Wholesale Banking Analytics' purpose is to build and maintain analytics products for ING's Wholesale Banking domain and drive adoption and scaling of analytics products to create maximum value for ING and its customers. The Tribe is organized in multiple product delivery squads, Data Scientist Chapter, User Research Chapter and Data Analyst Chapter.
Data Analyst Chapter is to craft a set of skills and techniques used to explore data sources for the analytics product, extract insights and knowledge from the data. It encompasses activities such as collecting, exploring, cleaning, organising, visualising, and transforming data.
The Mission:
We seek an enthusiastic Chapter Lead with a passion for data and people!
You will play a crucial role in creating the data-driven culture. You will be responsible for developing a data analyst team, at the same time, delivering valuable insights generating business impact.
The Chapter Lead's role is to build, manage and develop a team of data analysts and also to work as a senior data analyst in a product squad.
Your Day-to-Day:
People 50%
ING's purpose is to empower people to stay a step ahead in life and in business. Our strategy is built around our purpose and making the difference for people and the planet. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, omni-channel distribution strategy and international network. If you want to work at a place where we believe that you can make the difference by using machine learning to generate data driven products and solve the most pressing business challenges, please read on.
ING Analytics
ING Analytics is a unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of tribes around the bank's key domains (such as Operations, Retail Banking, Wholesale banking, etc.), local country analytics teams, as well as strong support areas around data management, technology, customer journey, UX, and external partnerships.
We are incredibly excited about Analytics and the great potential for progress and innovation. We believe that analytics is a key differentiator in bringing superior customer experience. We wish to improve our operational processes and create new and innovative data-driven products that go beyond traditional banking, such as the platform models.
Chapter Data Analyst - Tribe Wholesale Banking Analytics
The tribe Wholesale Banking Analytics' purpose is to build and maintain analytics products for ING's Wholesale Banking domain and drive adoption and scaling of analytics products to create maximum value for ING and its customers. The Tribe is organized in multiple product delivery squads, Data Scientist Chapter, User Research Chapter and Data Analyst Chapter.
Data Analyst Chapter is to craft a set of skills and techniques used to explore data sources for the analytics product, extract insights and knowledge from the data. It encompasses activities such as collecting, exploring, cleaning, organising, visualising, and transforming data.
The Mission:
We seek an enthusiastic Chapter Lead with a passion for data and people!
You will play a crucial role in creating the data-driven culture. You will be responsible for developing a data analyst team, at the same time, delivering valuable insights generating business impact.
The Chapter Lead's role is to build, manage and develop a team of data analysts and also to work as a senior data analyst in a product squad.
Your Day-to-Day:
People 50%
- Participate in the recruitment of new talents
- Provide continuous coaching and mentoring - clarify common job responsibilities, set performance expectations to best deliver a product, identify areas to improve in team members' capabilities and implement improvements.
- People management of highly talented data analysts - Allocate data analysts in the right product team based on their skills, knowledge and career goal. Identify / evaluate high and low performer and provide right rewards or improvement plans. Provide right support to the team members if they struggle in their work.
- Collaborate closely with different stakeholders from IT, data science, user research, product delivery squads and business areas across Wholesale Bank organization
- Work as a senior data analyst and deliver high quality data analysis. Also, provide guidance to Junior and Medior level data analysts.
- Identify, analyze, and interpret trends or patterns in complex data sets using programming language / software for data analysis such as SQL, Python , PowerBi and Superset.
- Explore and investigate the data sources and their availability in different data consumption systems ( , Data Lakes, Data Marts, Data Analytics Platform)
- Collaborate closely with Data Engineers and Data Scientists to build an analytics product.
- Support business in their decision-making by providing insights driven from data
- Provide data / analytical support to the stakeholders using both analytical and business jargon (written and oral)
- Support Digitization / Automation of processes with data collection, analysis and reporting solutions
- Experience: 2 years' experience in coordination roles and at 3-5 years of experience in data analytics, data visualization or/and statistics
- Tech stack/ knowledge:
- Mandatory:
- SQL
- Python (especially Pyspark)
- Sound experience in data analytics/visualization tools such as PowerBI, Tableau, Cognos;
- Data reporting & statistics
- Passion in People Management and Mentoring People
- Nice to have:
- Experiences in working with...
