4 дня назад
Data Analyst (Snowflake/AWS)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Analyst (Snowflake/AWS): Migrating data and reports from on-premises infrastructure to Snowflake and AWS with an accent on advanced analytics, data pipelines, and business-focused visualisation. Focus on building cloud data solutions, translating insights for stakeholders, and leading multidisciplinary delivery across strategic projects.
Location: UK
Company
is a global software engineering company delivering data, analytics, and AI solutions for clients across multiple industries.
What you will do
- Consult with business stakeholders to understand needs and design suitable data and analytics solutions.
- Develop advanced analytics that improve understanding of customers, processes, channels, and products.
- Create visualisations and compelling data stories to support important business decisions.
- Build and maintain data pipelines while migrating data and reports from on-premises infrastructure to Snowflake and AWS.
- Lead, coach, and coordinate resources in multidisciplinary agile data and analytics teams.
Requirements
- Location: UK
- Leadership skills and experience coaching colleagues.
- Hands-on experience with Snowflake, AWS, AWS Glue, and Apache Airflow.
- Strong SQL and Python skills, with experience migrating code to the cloud and building data pipelines.
- Reporting development experience with at least two of Tableau, Power BI, and Amazon QuickSight.
- Knowledge of advanced analytics, data architecture, data management, data engineering, data science, decisioning, and stakeholder communication.
Culture & Benefits
- Flexible work formats are supported across the company, including office, hybrid, and fully remote options.
- Vacation, sick pay, health insurance, and time off for state holidays are provided according to the applicable region and contract type.
- Support is available for IT certifications, professional courses, mentoring, and learning platforms.
- Additional benefits include mental health programs, corporate equipment or BYOD options, parental leave, and professional development support.
Hiring process
- CV review followed by an HR interview.
- Communication and technical assessments covering English and relevant technologies.
- Project-team and possible client interviews.
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