Data Analyst FP&A - București, România - Booking Holdings Romania

Descriere

Booking Holdings Romania is a Center of Excellence based in Bucharest, Romania and was created to support the increasing business demands of the Booking Holdings Brands.

The Center of Excellence provides access to specialized and highly skilled talent, leading industry best practices, and collaboration opportunities across all of our Brands.

As part of our Booking Holdings Romania team, you will have the opportunity to be a part of the world's leading provider of online travel, with a mission of making it easier for everyone to experience the world through six-primary consumer facing brands: , Priceline, Agoda, KAYAK, OpenTable and .

Role description
Data Analysts are the drivers of how data is leveraged in solving business problems within their area.

They are able to use their experience to consult with stakeholders in problem-definition, setting success metrics and shaping the way forward through data insights and effective communication with their audience.

We are looking for experienced data analysts who would play a critical role in the executions of one of the biggest data migration efforts from our current Hadoop platform to snowflake based but not limited cloud platform but not limited to this.

Data Analysts will be able to deep-dive into current business processes running on legacy systems and follow the enterprise tooling, standards and processes to migrate those into new cloud frameworks.

After successful migration, data analysts are also responsible to work with relevant business teams in data validations across legacy and new platforms and will develop automated/manual data quality checks to ensure acceptable level of data reconciliation to receive business sign-off for successful migration.

Data Analysts will continue to evolve and act as independent technical experts to business teams.

They are responsible for architecting and modeling required data in such a manner that there is a sustained data lifecycle for collecting, transforming and delivering key data assets in such a way that business value can be unlocked in an operational manner.

They prioritize their work for business impact, efficiently adapt to business needs, and manage expectations accordingly.

They combine their understanding of the business with the knowledge of data, workflows, methods and tooling to largely autonomously drive analysis and reporting within the scope of their team.

They can adapt existing tooling and approaches based on business and user needs. They collaborate with peers in their craft and follow best practices ensuring data quality and stability

As a member of the data & analytics team the individual will be responsible for execution of migration steps, generating data driven analysis, reporting, running root cause analysis and data reconciliations to support business stakeholders.

Key Job Responsibilities and Duties

Analyze existing Hadoop processes, and migration methodology proposed by enterprise tech team
Execute migration steps suitable for the relevant workflows and ensure data validation is successful between legacy and new platform
Implement data pipelines using PySpark or HQL, considering the data volume and complexity of each project
Handle technical support for business teams, assisting with PySpark/HQL issues, workflow scheduling, and performance tuning
Participate in the design and implementation of Data Vault in Snowflake, aiding in the migration from Hadoop to cloud and ensuring smooth and efficient transitions
Develop debugging processes and documentation on both Hadoop and Snowflake platforms to assist wider teams
Responsible for owning the design and delivery of parts of Data Analytics solutions based on business requirements, contributing to bringing them from the initial idea-generation phase to implementation with some supervision

Responsible for working independently on consuming data and preparing it for analytical use, as well as translating business problems to data stories.

Can ask for guidance on more complex tasks.

Responsible for working within the scope of the team and delivering work that informs business decisions for the product they currently work on.

Responsible for answering business questions in the most efficient way through use of previous knowledge and experience on data analysis.

Responsible for connecting and collaborating with junior to mid level stakeholders under guidance of the manager, by using effective communication, addressing their needs and conveying complex analysis results clearly.

Responsible for growing their own craft skills while leveraging Data Analytics for impact on well defined business problems.

Responsible for being flexible in adopting existing internal Data Analytics approaches and expanding their technical competencies when a more efficient way presents itself.

Must be familiar with the larger data ecosystem at Booking and how it relates to the work they do
Must have high level knowledge about the goals of the department.
Responsible for networking and proactively connecting with craft peers beyond the team scope

Leverages available big data platforms to run root cause analysis, data reconciliations and shares the insights with the business team.

Is flexible in adopting and proposing new approaches and expanding their technical competencies when a more efficient way presents itself
Expected to get significant deep knowledge about the operational, tactical and strategic workings of the department. Has a main focus on business and technical opportunities.
Organize and present your findings in a meaningful way to make sure your stakeholders are able to make the right decision

Role Qualifications and Requirements

Bachelor degree;
3-5 Years of relevant Job Knowledge;
Good experience in several data and analytics environments
Hadoop platform as an analytical ecosystems
PySpark or other scripting language to write analytical processes, Gitlab, OOZIE or other workflow management tools
Cloud database and services (preferably Snowflake & DBT)
Proficient experience with SQL
Python or scripting experience
Data modeling experience to translate business requirements into data designs
Working knowledge of cloud ecosystems & hadoop in general to review and develop plan for performance improvements
Problem-solving mindset, data driven approach, strong business acumen & communication skills
Experience with troubleshooting technique and fixing the code bugs both independently and collaboratively
Collaborative team spirit, problem solving approach

Benefits

Health insurance
Prepaid medical subscription (Regina Maria)
Life insurance
Meal vouchers (40 RON/ticket)
Learning wallet
Travel benefit
Annual vacation leave of 25 business days, pro rata with the working period
Birthday day off
Summer break (short Fridays during summer)
Work from Abroad program (up to 20 days/year in EU)
Floating days off
2 Volunteer days/ year
Home office one-time bonus of 400 EUR net
Bookster
LinkedIn learning platform
Headspace
Employee discounts (travel, gym, dental, vision)