Position: Data Analyst
Company: Virtuace
Experience required: 1y
Category: SQL
English level: upper
Published: 2021-01-01T00:00:00+02:00

Virtuace on behalf of our client — American insurance company is looking for a Middle Data Analyst to join our team.
The client is a global speciality provider of property and casualty insurance and reinsurance that has more than $110 billion USD in total assets along with $17 billion USD in net assets.

Required skills:
— Practical experience of 1+ year with MS SQL (commercial project/outsource/outstaff);
— Experience writing SQL queries, deep analytical skills;
— Deep and wide understanding of databases’ structure and architecture;
— Experience with data storage and ETL pipelines;
— Experience with BI/Data Analysis;
— Knowledge of Excel at a high level (formulas (including array formulas), tables, pivot tables, connection to external sources);
— Analytical thinking, ability to find patterns in studied data sets, reasons for the deviations of indicators that describe business processes, briefly and accurately focus on the main causes of deviations;
— Ability to bring data of various types into a single system;
— Upper-intermediate level of English.

We offer:
— To work with company which is financially stable and reliable, we dont have staff cut or salary cut, on the contrary- our company is growing and developing. As our main customers are American insurance companies, it allows us to feel safe and protected on financial side;
— Health insurance;
— English classes (online) and speaking-club with native speakers;
— Possibility of remote work;
— Competitive salary;
— Collaborative friendly team environment.

Responsibilities:
— Monitor and report performance of research algorithms deployed to production on a daily basis;
— Interact with users, product and engineering team;
— Conduct quantitative and qualitative analysis;
— Perform ad hoc analytics requests;
— Provide result interpretations;
— Provision of automated reporting;
— Analysis of data to identify the causes of deviations in business metrics;
— Prepare testing/deployment documents and data quality requirements.