Biznesa Inteliģences Datu Analītiķis / Business Intelligence Data Analyst at Evolution

Rīga, , Latvia -

Full Time

Start Date

Immediate

Expiry Date

24 May, 26

Salary

4500.0

Posted On

23 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Business Intelligence (BI), ETL Processes, Data Visualization, SQL, Tableau, Power BI, Qlik, AWS Athena, Redshift, Python, Data Modeling, Apache Superset, Git, CI/CD, Code Review

Industry

IT Services and IT Consulting

Description

Company Description Evolution is a multinational business at the forefront of the online gaming industry. We have an extensive track record of number 1s and are always looking for great people to help us create the next big product hit. Our original and high-quality product portfolio includes many innovative and award-winning player favorites. We thrive on pushing limits, being at the forefront of game design, ensuring a low game latency and producing games that are safe and secure to deliver on our Engineering mission: A flawless player experience. Job Description Darba apraksts Kā Biznesa Inteliģences Datu Analītiķis tu būsi vērtīgs komandas dalībnieks mūsu Datu analītikas komandā, kuras galvenais uzdevums ir BI risinājumu izstrāde un datu analīzes pakalpojumu sniegšana dažādām uzņēmuma iekšējām struktūrvienībām (Pārdošana, Produktu izstrāde, Finanšu nodaļa, Klientu atbalsts, Riski, IT, u.c.). Galvenie pienākumi un atbildība: Nodrošināt iekšējos sadarbības partnerus ar atbilstošu datu analīzi un palīdzēt pieņemt patiešām uz datiem balstītus lēmumus; Cieši sadarboties ar iekšējiem partneriem un, kur iespējams, automatizēt analīzes procesus, izveidojot ETL procesus, jaunas vizualizācijas un atskaites BI rīkos; Uzlabot esošās atskaites un datu transformācijas; Skaidri un vienkāršā veidā prezentēt datus un secinājumus. Prasības: Augstākā izglītība, vēlams datorzinātnēs, matemātikā vai citās eksaktajās zinātnēs; Vismaz 2 gadu pieredze datu analīzē un BI rīku (Tableau, Power BI, Qlik vai līdzīgu) satura veidošanā; Radoša domāšana un aizraušanās ar datiem un analītiku; Precizitāte un uzmanība pret detaļām; Pieredze SQL vaicājumu rakstīšanā; Vēlme apgūt papildu tehniskās prasmes, lai uzlabotu darba efektivitāti; Pieredze datu analīzes risinājumu standartizācijā un automatizācijā; Izcilas angļu valodas zināšanas gan mutiski, gan rakstiski. Vēlamās papildu prasmes: Pieredze datu analīzes risinājumu standartizācijā un automatizācijā; Pieredze darbā ar AWS Athena un Redshift un citiem AWS produktiem; Skriptēšanas / programmēšanas valodu zināšanas (piemēram, Python); Pieredze datu modeļu izstrādē; Pieredze ar Apache Superset atskaišu veidošanu, servera konfigurēšanu un uzturēšanu; Zināšanām par pirmkoda versiju vadību (piemēram Git), repozitoriju konfigurēšanu un CI/CD; Pieredze ar koda pārskatīšanu (code review); Iepriekšēja pieredze darbā ar lieliem datu apjomiem. Mēs piedāvājam: Bruto mēnešalgu no 2500 EUR līdz 4500 EUR (pamatojoties uz prasmēm un iepriekšējo pieredzi); Dinamisku darbu veiksmīgā, augošā un starptautiskā uzņēmumā; Iespēju strādāt ar Big Data un dažādiem rīkiem un tehnoloģijām (Tableau, Amazon Athena, AWS tehnoloģijas, MS SQL, PostgreSQL, ClickHouse, Apache Superset, Python, GitLab u.c.). Draudzīgus un atsaucīgus kolēģus. Job Description As a Business Intelligence Data Analyst, you will be a valued member of the companys Data Analytics team whose main role is developing BI solutions as well as providing data analysis services to various internal stakeholders (Sales, Product Development, Finance, Customer Support, Risks, Engineering, etc.). Main Duties & Responsibilities: Support internal stakeholders with appropriate data analysis and help them make really data-driven decisions; Work closely with internal stakeholders and where it is possible - automate analytics by setting up ETL processes, building new dashboards and reports in Business Intelligence tools; Improve existing dashboards, reports, and data transformations; Present data and findings in clear, easy to digest way. Requirements: University degree preferably in computer sciences, mathematics, or other exact sciences; At least 5 years experience in data analysis and building content in some BI tool (Tableau, Power BI, Qlik, or similar); Ability to demonstrate creative thinking and passion about data and data analysis; Ability to be careful and thorough about details; Experience in writing queries in SQL; Willingness to acquire additional technical skills where it can help to make work more efficient; Ability to communicate fluently in English both verbally and in writing. Nice to have skills: Experience in standardization and automation of data analysis solutions; Experience with AWS Athena, Redshift and other AWS products; Knowledge of scripting/programming languages (e.g., Python); Experience in developing data models; Experience with Apache Superset report development, server configuration and maintenance; Experience with version control (e.g. Git), repository configuration and CI/CD; Experience with code review; Previous experience in work with large amounts of data. We offer: Gross monthly salary from 2500 EUR to 4500 EUR; Dynamic work in a successful, growing, international company Possibility to work with Big Data and various tools and technologies (Tableau, Amazon Athena, and other technologies in AWS, MS SQL, PostgreSQL, ClickHouse, Apache Superset, Python, GitLab, etc.) Friendly, helpful colleagues #LI-ES1 #LI-Hybrid

Responsibilities

The analyst will develop BI solutions and provide data analysis services to internal departments like Sales, Product Development, and Finance, focusing on supporting data-driven decision-making. Key tasks include automating analytics via ETL processes, building new reports/dashboards in BI tools, and clearly presenting findings.