Esg Data Analyst

ESG DATA ANALYST (JOB NUMBER: C D000541)

As the leading European Union bank, and one of the world’s largest financial institutions with an uninterrupted presence in the region since 1860, BNP Paribas offers a wide range of financial services for corporate, institutional and private investors spanning corporate and institutional banking, wealth management, asset management and insurance.

We passionately embrace diversity and are committed to fostering an inclusive workplace where all employees are valued and encourage applicants of all backgrounds, including diversity of origin, age, gender, sexual orientation, gender identity, religion applicants who may be living with a disability. We have a number of internal employee networks in place to empower our staff to act and challenge the status quo.

BNP Paribas PRIDE is highly active in favour of the LGBTQIA+ community
BNP Paribas MixCity which fosters better representation of women at all levels of the organization
Ability, the mutual aid network for employees with a disability or a disabling or chronic illness
BNP Paribas CulturAll which celebrates diverse backgrounds

BNP is committed to financing a carbon-neutral economy by 2050. The Group is a founding member of the Net-Zero Banking Alliance and has set up its own Low Carbon Transition Group to support its clients through their energy transitions.

More information
BNP Paribas - Diversity & Inclusion Journey
BNP Paribas - The Bank Of Green Changes

Award Obtained
BNPP has won Top employer Europe award in a 10th consecutive year

**Position Purpose**
- The role of the Data Analyst sits within the Data Governance team whom are part of the Business Change Management (BCM) division of BNP Paribas. The Data Analyst’s primary objective is providing the business with data analytics and solutions in a cost-effective way by determining the requirements of a project or program and communicating them clearly to stakeholders, facilitators and partners.
- The Data Analyst will report directly to the Head of Data Governance and work within a matrix structure, delivering into projects that are managed across all platforms. They communicate with internal and external stakeholders including business stakeholders in operations, product and coverage, Paris and London branches for global projects, standards, vendors and consultants.

**Key Responsibilities**

**Business & Data Requirements**
- Engage stakeholders to establish a common understanding of the business and data needs
- Identify and correctly translate business needs into business requirements and data solution requirements
- Clarify and elicit business requirements, proactively identifying additional requirements not explicitly provided, obtaining missing information and resolving conflicting information among the needs and requirements
- Ensure data requirements are consistent with the business requirements. Where possible relate deliverables and their acceptance criteria to the requirements
- Validate data requirements with stakeholders to ensure they are based on an understanding of the stakeholder needs, expectations, constraints, and interfaces

**Data Solution Design**
- Gain a firm understanding of the impacts of the solution on People, Process and Technology.
- Engage stakeholders to ensure a common understanding of (and commitment to) all aspects of the project including objectives, scope, risks, benefits and any element they may be providing Gather all the necessary inputs and review to fully understand the requirements, specifications, applicable standards etc.
- Document the current (as-is) business process design if this does not already exist
- Document the to-be business process design and identify how the implementation of the data solution will benefit the business

**Data Quality and Integrity**
- Liaise with the business to identify data inconsistencies and provide the capability to identify these items in advance
- Lead and/or undertake data quality activities and initiatives where required. Ensure appropriate tools and techniques are used for data analysis tasks and deliverables.
- Encourage peer reviews and feedback sessions within the community.
- Personally review a selection of the deliverables generated by the community.

**Engage and contribute to a Data analysis community of practice, which includes**:

- Establishing regular community meetings with all data analysts to provide group mentoring, discuss concerns and issues, and implement actions for continuous improvement.
- Perform reviews of deliverables produced by the community’s business analysts and provide feedback and constructive critiques.
- Formalise standards and consistency around business analysis deliverables and encourage the community’s adherence to these standards.

**Alteryx Designer/Gallery/Power BI Implementation**:

- Using the analysis, requirements gathering and stakeholder workshops mentioned above, create Alteryx workflows or Power BI Dashboards that a