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Data Analyst, Business and Product Analytics

Position Details
Location Berlin
Commitment Permanent
Team Data Analytics

Smartly.io is looking for a customer success and product analytics focused Data Analyst to join our Analytics and Business Intelligence team! Our centralized analytics team works with different parts of the organization, spanning from Product Management and Design to Customer Success, Marketing and Financial Planning and Analysis.

 

You will work with different types of data, ranging from sales and revenue data to in-app user interactions. Our goal is to develop a unified view of crucial business and product metrics, such as engagement, revenue development, and key action monitoring. We operate in a rapidly evolving business environment, working with the world's most advanced advertisers. This means that our business is constantly changing and we need reliable ways to estimate where we are  and where we are going in terms of our customer metrics.

 

You will work as a part of a wider analytics and business intelligence team that automates operations by creating internal BI tools, dashboards and internal data warehouses. Your primary stakeholders will be our Customer Success and Product Management organizatios. 

 

As a Data Analyst at Smartly.io, you will:

  • Work closely with our Customer Success Operations, Product Management and Product Design teams to build and optimize our customer experience with data. 
  • Build, develop and maintain reporting of key product adoption metrics
  • Develop an understanding of our product data and help develop our tracking of key features.
  • Have end-to-end ownership of data: define data requirements and dive deep into data sets to provide actionable insights.
  • Develop an in-depth understanding of what drives our customer and product success
  • Be an important part of our higher level data driven decision making process as well as day-to-day business operations

 

 

What we are looking for: 

  • Skills in writing complex analytical SQL queries (we use Snowflake and PostgreSQL as our warehouses)
  • Proficiency in one or more BI and visualization tools like Looker, Periscope, Tableau or Power BI (we use Tableau and Redash at Smartly.io)
  • Strong communication and presentation skills, you can turn data into stories and actionable insights
  • Experience with business & product analytics or a strong interest in the field
  • Basic understanding of data warehousing
  • Basic knowledge of typical key business KPIs for SaaS companies
  • Basic understanding of financial processes, including forecasting, target setting, and budgeting

 

#LI-IT1 #LI-hybrid

 

Meet Smartly.io

Bringing brands and people together smartly. We are building a platform that combines media buying, creative, and data to automate every step of digital advertising.

We manage 4B€ in ad spend and serve more than 700 brands worldwide, including eBay, Uber and TechStyle. Our technology liberates marketers from manual work and allows them to focus on what matters. 

As a fast-paced growth company, Smartly.io offers opportunities to maximize your learning and amplify your impact. With colleagues from 68 nationalities, you'll work in a collaborative and inclusive environment built on a culture of trust, transparency, and feedback. Join our global team of over 650 Smartlies in reshaping the future of marketing. Learn more at smartly.io/careers and smartly.io/our-leadership-and-culture.

We are a hybrid workplace where Smartlies have the flexibility to work at the office, from home, or a bit of both. We also offer programs for short-term remote work globally. 

We are currently running fully remote recruitment processes due to the global pandemic. Read more here.

 

Reasonable accommodation for people with disabilities

Smartly.io is committed to providing reasonable accommodations for qualified individuals with disabilities or special needs in our job application procedures and working environment. If you need assistance or have any questions please contact us at accommodations@smartly.io.

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Data Analyst, Business and Product Analytics

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