DataArt
Data Analyst with AWS & Snowflake
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Project overview
Throughout its history, the bank has offered various banking products to clients. Its technical support has become more complex and expensive due to the expansion of its product line and the growth of its customer base. The development of technology has led to growing customer expectations for banking apps, as well as the automation of bank account interactions. Therefore, it became clear that all the IT systems of our client needed an upgrade. Now they have been improved in accordance with modern technologies, and the user interfaces of the apps have been modernized as well.
The main goal of the project is to migrate data and reports from on-premises infrastructure to Snowflake/AWS.
Position overview
The role focuses on using advanced analytics, translation and visualisation skills to consult with business stakeholders, gain a deep understanding of their business needs, and proactively and reactively offer data and analytics expertise and solutions to business challenges in line with the bank’s strategic goals.
Responsibilities
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- Deeply understand the needs of business stakeholders using strong consultancy skills to identify suitable data and analytics solutions to meet those needs in order to support the achievement of business strategy, ensuring data is sourced from approved Golden Sources, is used appropriately and is fit for purpose.
- Drive and embed advanced analytics in their team to develop business solutions which increase understanding of the Client’s business, including its customers, processes, channels and products.
- Bring advanced analytics to life through visualisation to tell powerful stories and influence important decisions for key stakeholders, using the best tools and approaches, blending both the data and insights and the stakeholders’ needs.
- Work in an agile way within multidisciplinary data and analytics teams, leading, coaching and coordinating resources, either direct reports and/or more widely from across the team and the business, to plan and deliver strategic agreed project and scrum outcomes.
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Requirements
- Leadership skills and a passion for data and analytics.
- Experience coaching and supporting colleagues to succeed.
- Hands-on experience with Snowflake and AWS.
- Experience with AWS Glue and Apache Airflow.
- Strong SQL and Python skills.
- Proven experience migrating code from on-premises environments to the cloud.
- Experience building data pipelines and extracting data from different data sources.
- Reporting development experience with at least two of the following: Tableau, Power BI, and Amazon QuickSight.
- Advanced analytics knowledge.
- Ability to simplify data into clear visualisations and compelling insights.
- Experience using appropriate systems and tools for data analytics and visualisation.
- Knowledge of data architecture, key tools and relevant coding languages.
- Strong knowledge of data management practices and principles.
- Experience translating data and insights for key stakeholders.
- Good knowledge of data engineering, data science and decisioning disciplines.
- Strong communication skills with the ability to engage with a wide range of stakeholders.
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