Data & Analytics Lead - Corporate Sustainability, VP

1 month ago

bangalore, India F335 Deutsche India Private Limited, Bangalore Branch Full time

Description

Deutsche Bank has set for itself ambitious goals in the areas of Sustainable Finance, Environmental, Social, and Governance (ESG) Risk Mitigation as well as Corporate Sustainability.

As Climate Change throws new Challenges and opportunities, the Bank has set out to invest in developing a Sustainability Technology Platform, Sustainability data products and various sustainability applications which will aid Bank’s goals by building an exciting global team of technologists who are passionate about Climate Change, want to contribute to greater good leveraging their Technology Skillset in multiple areas predominantly in Cloud / Hybrid Architecture.

As part of this Role, we are seeking a highly experienced Data & analytics Leader to join our growing team. In this senior role, you will be a trusted advisor, providing technical expertise and strategic direction across integration to insights of sustainability data in GCP and hybrid environment

What we’ll offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above

Your key responsibilities

Technical Expertise:

Provide in-depth knowledge of GCP data services (BigQuery, Cloud Storage, Dataflow, etc.). Design and optimize complex data pipelines for efficient data ingestion, transformation, and analysis. Partner with product management group and other business stakeholders to gather requirements, translate them into technical specifications, and design effective BI solutions (Tableau, Looker) Design and develop complex data models, leveraging expertise in relational and dimensional modeling techniques. Advocate for best practices in data governance, security, and compliance on GCP.

Collaboration & Mentorship :

Collaborate with data engineers,analysts, and business stakeholders to understand data requirements and drive data-driven decision-making. Mentor and guide junior team members on GCP technologies and BI best practices. Foster a culture of innovation and continuous improvement within the data and BI domain.

Staying Current :

Track emerging trends and innovations in GCP, BI tools, and data analytics methodologies. Proactively research and recommend new technologies and solutions to enhance our data, BI capabilities.

Your skills and experience

10+ years of experience in data warehousing, data management, and business intelligence. Proven expertise in Google Cloud Platform (GCP) and its data services (BigQuery, Cloud Storage, Dataflow, Google Composer etc.). Strong understanding of data governance, security, and compliance principles on GCP. Experience designing and implementing complex data pipelines. In-depth knowledge of relational and dimensional modeling techniques for BI. Experience with Python, T SQL or PL SQL or Ansi SQL Experience with leading BI tools and platforms (Tableau, Looker). Excellent communication, collaboration, and problem-solving skills. Ability to translate technical concepts into clear, actionable insights for business stakeholders. Strong leadership presence and ability to influence and inspire others. Knowledge of Corporate Sustainability Scope 1, Scope 2, Scope 3 Reporting and CSRD  Knowledge of cloud infrastructure and data governance best practices will be a plus. Knowledge of Terraform will be a plus

How we’ll support you

Training and development to help you excel in your career. Coaching and support from experts in your team A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs.

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