Senior Data Analytics Engineer

Ready to become a Wriker?

Join our dynamic and innovative Data Foundation & Transformation team as Data Analytics Engineer. We are on a mission to create reliable and scalable data products infrastructure with reliable datasets required for analytics and reporting across various data user groups, such as Analytics and Revenue Operations.

More about Your team

We're looking for a highly motivated Analytics Engineer to join our Data Foundation & Transformation team and work on the development of a reliable and scalable data product infrastructure with clean verified datasets required for analytics and reporting across various data user groups, such as Analytics and Revenue Operations.

If you possess a passion for data source design and data pipeline development, coupled with a track record in project management, we invite you to join our team! Our data infrastructure relies on cutting-edge technologies such as GCP (BigQuery) and Airflow. Collaborating closely with the Data Engineering team, you'll play a pivotal role in data design, while also liaising with Data Visualization and RevOps teams to define data product requirements.

As a Data Analytics Engineer at Wrike, you will play a critical role in the team by leveraging data infrastructure and other data-driven approaches. You will work in close collaboration with other teams across the organization, such as Data Engineering, Data Visualization and RevOps teams to define and meet data product requirements.

How we work?

Our Tech stack: Python, SQL, Salesforce, BigQuery, Airflow, GitHub, Tableau, Looker, Git

We operate in a highly collaborative environment where cross-functional teamwork is essential. Our processes emphasize data quality and aim to deliver actionable insights that drive critical business decisions. We stay abreast of emerging trends in data organization and analysis techniques to continually improve our ecosystem.

How You’ll make an impact

• Design, develop, and monitor high-quality data sources within the GTM (Go-to-Market) data warehouse.
• Take ownership of data assets and pipelines, delivering actionable insights into customer behavior, product performance, GTM strategies, and other critical business functions.
• Work with cross-functional teams to understand business objectives and data requirements.
• Implement robust processes and systems to uphold data quality standards, ensuring that production data consistently meets SLAs (Service Level Agreements).
• Stay updated on emerging trends in data organization and analysis techniques.
  
  

You will achieve your best if you have

• 5+ years in an analytical role with proven experience in data design and visualization
• Proficient in Python and SQL
• Good understanding of modern data stack (BigQuery, Airflow, GitHub, Tableau, Looker, Git)
• Experience with major B2B vendor integrations (Salesforce/CPQ, NetSuite, Marketo, etc.)
• Excellent communication skills, with the ability to present technical information to non-technical stakeholders.
• Ability to communicate clearly and fluently in English
  
  

You will stand out with

• Ability to communicate effectively with people across multiple functions
• Experience partnering with go-to-market, sales, customer success, and marketing teams
• Proven experience in project management 
  
  

Interpersonal skills

• Good communication, collaborative demeanor and ability to work in distributed, multi-functional, multinational teams with the ability to articulate a point of view.
• Fostering a fun and productive team environment
  
  

Perks of working with Wrike 

• 25 days of holidays
• Cafeteria bonuses (Benefit plus) 
• Meal vouchers (220CZK/working day)
• Sick leave compensation
• Private healthcare membership (Canadian Medical)
• Pension plan
• Mobile tariffs
• „Lítačka“ transportation annual coupon reimbursement
• Multisport card
• Parental leave
  
  

Your recruitment buddy will be Pavel Kucera, Technical Recruiter.

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