Senior Business Intelligence Analyst // aklamio at aklamio

Posted on: 09/09/2021

Location: Berlin, Germany (ON-SITE)

full time

Original Source

Tags: jupyter sql numpy pandas python docker

Aklamio is looking for a **Senior Business Intelligence Analyst** to help establish a data-driven decision making culture in our revenue team. Help us by providing insights to the C-level and the management of the corresponding teams, building new dashboards and automated reports, and helping to define crucial KPIs and performance metrics. **WE OFFER** * Challenge: an international and fast-growing company that develops with you * Flexibility: home office policy and flexible working hours * Development: Yearly budget for training * Balance: 28 days of vacation and a gym subscription to take care of yourself * Belonging: scheduled breakfasts, shuffle lunch, team events. Team building is fundamental for us **YOUR MISSION** * You will report to the Head of the Data, and use a modern tech-stack for data analysis * Collaborate cross- functionally with the data science team, and revenue team (consisting of marketing, sales, business development, and client success management) and have hands on access to revenue-team related projects * Model and analyze marketing, sales and revenue KPIs and help develop and maintain performance dashboards for all revenue teams * Model, analyze, and forecast the company performance and make insights available internally and externally to our investors and clients * Provide customized reports to some of our large clients * Perform cross-client, cross-industry and cross-product analyses of usage and success patterns to support product and market decisions * Define KPIs together with the managers of each revenue department, and help them understand which factors influence those KPIs, and how they can improve them **YOUR SKILLS** * You have 2+ years of experience as data analyst, BI, or comparable experience * You have a good understanding of common business processes, and data analysis experience in a revenue-centric domain, such as marketing, sales, business development, or client success management * Can communicate directly with the management, helping them to make data-driven decisions, define KPIs, and validate assumptions with data * Good at explaining complex data insights to non-technical audiences while maintaining a high level of precision * Know how to perform exploratory data analysis, understand how (and when) to use different data visualization techniques, and have basic understanding of statistics * Basic Python coding skills and familiarity with PyData stack: Jupyter, Pandas, Numpy, plotting libraries (we use Plotly and Seaborn). Experience with Streamlit or Dash is a plus * Great knowledge of SQL * Experience with Git, Docker, and Salesforce is a plus * You want to develop further both by expanding and acquiring new data analysis related technical skills, and by learning more about revenue domains