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Tulip

Data Analyst

Posted 23 Days Ago
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Hybrid
2 Locations
Junior
Easy Apply
Hybrid
2 Locations
Junior
As a Data Analyst, you will transform raw data into actionable insights, develop reports using BI tools, and support data quality initiatives.
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**This role is located in Munich (Germany) or Budapest (Hungary) - We are a hybrid work environment and are in the office 3+ days/per week.**

Tulip, the leader in frontline operations, is helping companies around the world equip their workforce with connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Companies of all sizes and across industries have implemented composable solutions with Tulip’s cloud-native, no-code platform to solve some of the most pressing challenges in operations: error-proofing processes and boosting productivity, capturing and analyzing real-time data, and continuous improvement.

A spinoff out of MIT, Tulip is headquartered in Somerville, MA, with offices in Germany and Hungary. Focused on composable, human-centric solutions for industrial environments, Tulip is disrupting the MES category and has been recognized as a World Economic Forum Global Innovator. Tulip has also been named one of Energage’s Top Workplaces USA and one of Built In Boston’s “Best Places to Work” and “Best Midsize Places to Work” for 2024. 

About You:

We are seeking a curious and detail-oriented Data Analyst to join our growing Data Operations team. Reporting to the Data Operations Lead, you will play a key role in transforming raw data into actionable insights that support data-driven decision-making across the organization. Based in either our Munich or Budapest office, you will work closely with the Data Operations Lead and Engineers to support data quality initiatives, develop reports and dashboards, and help stakeholders understand and utilize data effectively. This is a fantastic opportunity to contribute to a foundational data team in a dynamic SaaS environment.

What skills do I need?

  • Experience: 1-3+ years of relevant experience in a data analysis, business intelligence, or related role. Experience in a SaaS environment is a plus.
  • SQL Proficiency: Strong SQL skills for querying complex datasets and performing data manipulation.
  • BI Tool Experience: Hands-on experience with BI and data visualization tools (experience with Sigma Computing is a definite plus ).
  • Analytical Mindset: Excellent analytical and problem-solving skills with strong attention to detail.
  • Communication Skills: Good verbal and written communication skills, with the ability to explain data concepts to various audiences and work effectively in an international setting.
  • Collaboration: Ability to work effectively both independently and as part of a team in a hybrid environment.
  • Familiarity with Data Concepts: Understanding of data warehousing concepts, ETL processes, and data quality principles is beneficial.
  • Language: Fluency in English (written and oral).

Nice to Haves:

  • Experience with Python for data analysis or scripting.
  • Familiarity with cloud environments, particularly AWS.
  • Exposure to data governance concepts or tools (like Datahub).
  • Experience working with dbt or similar data transformation tools.

Key Responsibilities:

  • Query and analyze data from various sources using SQL to identify trends, patterns, and insights.
  • Develop, maintain, and optimize reports and dashboards using our BI platform (Sigma Computing) to visualize data and track key metrics.
  • Collaborate with stakeholders across different departments (e.g., Sales, Marketing, Product) to understand their data needs and provide analytical support.
  • Assist in monitoring data quality, identifying anomalies, and contributing to data cleansing efforts.
  • Support the Data Operations team in documenting data definitions, metrics, and processes.
  • Contribute to the maintenance and improvement of 'data products' accessible through our data discovery platform.
  • Present findings and insights to technical and non-technical audiences in a clear and concise manner.

Our Tech Stack

  • Cloud: AWS
  • Data Warehouse: Redshift
  • ETL/Orchestration: dbt, Airflow
  • BI: Sigma Computing
  • Languages: SQL (required), Python (preferred)
  • Governance: Datahub

Key Collaborators:

  • IT
  • Product & Engineering 
  • Commercial
  • Operations

Working At Tulip

We know even great candidates experience imposter syndrome. Even if you don’t match every requirement, applying gives you the opportunity to be considered. 

We’re building a strong, diverse team that values hard work, families, and personal well-being. Benefits of working with us include:

GmbH Employees

  • Direct impact on product and culture
  • Company equity
  • Competitive benefits package including commuter benefits, learning and development benefits, team events, catered lunches 3 days a week.
  • Flexible work schedule and unlimited vacation policy
  • Learning and Development Benefit
  • Virtual company events and happy hours

KFT Employees

  • Direct impact on product and culture
  • Company equity
  • Flexible work schedule and unlimited vacation policy
  • Virtual company events and happy hours
  • In-office catered lunches and stocked kitchens
  • Private Healthcare
  • Learning & Development benefits

We are an equal opportunity employer. At Tulip, we celebrate all. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Help us build an inclusive community that will transform frontline operations. 

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Top Skills

Airflow
AWS
Datahub
Dbt
Python
Redshift
Sigma Computing
SQL

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