Position: Senior Data Analyst
Company: Intetics
Experience required: 3y
Category: SQL
English level: intermediate
Published: 2021-09-01T00:00:00+03:00

You will be the first senior hire in our Analytics team and be part of the broader and fast-growing Data department. You are looking to take the next step in your career with increased responsibility and be part of our incredible growth story. To do so, you are senior enough to own projects, work with senior stakeholders and meet tight deadlines.

You will support our Operations and Product teams by providing them with relevant data analyses and visualizations

and by helping them consistently achieve excellence in servicing our customers.



About the project:

The project is a BI Solution based on the AWS cloud platform and processing 2 terabytes of data per week.

Project Stack: Data Lake, DWH, Data Analytics in AWS.



Responsibilities:

● Support the Operations and Product teams in monitoring daily operations, in automating recurring workflows, and in decision-making, by understanding their data needs, building SQL queries, providing analyses, reports, dashboards, and

visualizations;

● Work hand-in-hand with our Data Engineering team to help improving our Data Warehouse as well as ensure consistent and scalable data modelling;

● Work closely with Product, Engineering, and Data leadership to make sound technical decisions across the entire data ecosystem;

● Become the Subject Matter Expert for all data analysis-related topics;

● Keep track of industry trends, best practices, and technologies to continually improve our technology (and ourselves!);

● Contribute to the hiring, mentorship, and management of junior data analysts (as the Data team expands).

Requirements:

● 3-5 years of experience in data analyst, BI analyst or similar analytics role(s);

● Expert knowledge of SQL and RDBMS concepts (e.g. PostgreSQL, MySQL);

● Strong experience with visualization tools (e.g. Metabase);

● Strong knowledge of best practices for data analytics;

● Experience providing mentorship to junior data analysts;

● Good English communication skills and ability to perform in fast-paced and multicultural Environment.



Nice to have:

● Working knowledge of cloud data architectures (e.g. AWS);

● Experience with OOP (e.g. python);

● Good understanding of funnel analytics, customer segmentation, and A/B testing;

● Experience in fintech, especially in the credit/lending space;

● Experience working in agile environments (we recently moved from Kanban to Scrum).