Data Analyst (m/f/d)

Job description

About us

ToolTime is a fast-growing SaaS startup with an extremely talented team, great company culture and dedicated investors. Our goal is to free tradesmen from cumbersome paperwork and last-century software by developing state-of-the-art cloud software with excellent UX and outstanding customer service. We have raised more than 25 million in capital from investors to improve the lives of 5 million tradesmen in Germany alone.

We are looking for a Data Analyst (m/f/d) that is curious, enthusiastic, and eager to learn. As Data Analyst you will be part of an agile team that works cross-functionally on revenue operations, business intelligence and GTM strategy. In your role you will take ownership on all data-related topics. In collaboration with the marketing, sales, customer success and product teams you gather, analyze and leverage data to support our company s objectives and help the respective teams in achieving their targets. You take full responsibility for reporting to all internal and external stakeholders, implement ad-hoc requests and drive data-related initiatives.

What you will do

• Support the management team by tracking and monitoring the KPIs of our business
• Work cross-functionally and combine multiple data sources to empower different stakeholders with relevant reports and dashboards
• Conduct ad-hoc analysis and derive novel insights from our data
• Develop, implement and improve our business intelligence setup to combine, structure and analyze all data generated in the different departments

Requirements

What we are looking for

• Proven experience as data analyst or business intelligence analyst in a fast pace environment such as start-up or consulting
• Great analytical skills and interest in the SaaS business model
• Experience in deriving relevant KPIs and setting up reports and dashboards, using analytics tools such as Klipfolio, Tableau, PowerBI or Google Data Studio
• Proven experience and very good knowledge in ETL processes, especially in working with multiple data sources
• Proven knowledge in Python for data analysis
• Practical experience with databases, writing complex SQL queries, data management and the AWS ecosystem (Amazon Redshift, S3 and AWS Data Pipeline)

What you can expect from us

• A modern office space as well as the ability to unplug from the office desk and work remotely from wherever you want
• A creative environment with a highly motivated team where everyone can directly contribute the success of the company
• We value you as an individual and we are strong as a team - knowledge sharing and honest feedback is what we live
• A yearly learning and development budget and time for learning
• A culture that is based on our core values Curiosity, Positivity and Best Together
• Company benefits like 30 days vacation, fresh fruits, regular team events, ergonomic workstation, and many more