Position: Senior BI Analyst (UA)
Company: SalesNash
Experience required: 5y
English level: upper

We are looking for a Senior BI Analyst to join our client’s team on a subcontract basis.

We are looking for an Analytics Engineer to start immediately as part of our Business Intelligence and Analytics Team in Berlin. The Business Intelligence and Analytics Team supports various business stakeholders to make data-driven decisions and helps them uncover levers for leads and subscription base.

Should have:

Several years of data analysis or data engineering experience, preferably for an online and/or B2C business with a proven track record of transforming data into actionable insights
Always found Data Analytics not technical enough and Data Engineering not business-facing enough and were looking for a role between the two, or you have worked as an analytics engineer and felt you have found your calling
Experience in Tableau
Experience with Adverity/Data Virtuality/Funnel.io is a plus
Proficient knowledge of SQL (knowledge of Snowflake, MySQL)
Experience working with Dbt (Cloud)
Some experience with either Python or R (we use Python) and a good understanding of statistics
Proficient knowledge of Excel or equivalent
Some understanding of (Marketing) Controlling and business processes
Experience with data visualization and presentation skills
Strong interpersonal and communication skills
English - Upper-Intermediate
Location - Ukraine

Responsibilities:

Join us as an Analytics engineer on the team and help us fine-tune the role in the intersection of Data Analytics and Data Engineering
Work with Data Engineers and Data Analysts to build tables and views in our data warehouse using Dbt Cloud
Write and QA SQL and Python implementation of complex business logic, e.g. marketing attribution modeling
Create and manage Tableau data sources and repositories to enable self-service analytics
Integrate and transform data utilizing an array of tools to increase usability for cross-functional partners
Build out scalable data models to structure the data

We offer:

The part-time workload (4 h/d) on a remote basis
Start - ASAP
Duration - 6 months
Interview - up to 2 interviews with the client

If you think you are the right person, we'd welcome your application!