Artificial Intelligence
Consulting
Development ServicesData science seems to be one of the hottest areas for innovation to disrupt various business domains these days, and while data-driven approaches are finding their way into each of those domains, companies are already fighting for Big Data talent in order to make better Business Intelligence (BI) based decisions.
Companies' increased focus on acquiring data analytics specialists is in line with the creation of a whole new set of Big Data roles and responsibilities. I've taken a look at the pool of data job postings to see what roles are most sought after by big name companies and compare their average cost in the United States and Ukraine, Eastern Europe's leading hub for data science outsourcing.
| Role | Responsibilities | Skills | Languages / Technologies |
Availability in the US job market |
|---|---|---|---|---|
| Data scientist | Clean and organize corporate Big Data | Distributed computing (Hadoop) Visualization Predictive modeling Machine learning Math & stats |
SAS, R, Python, Spark, Matlab, SQL, Hive |
Very low |
| Data analyst | Collect, process and analyze statistical data | Spreadsheet tools (e.g. MS Excel) SQL / NoSQL database systems Visualization Machine learning |
R, HTML, Python, JavaScript, SQL, C, C++ | Medium |
| Data architect | Create blueprints for data management systems to integrate, protect, centralize and maintain data sources | Data warehousing Database architecture ETL, Excel, BI tools Systems development Data modeling |
XML, SQL, Spark, Hive | Medium |
| Data engineer | Develop, test and maintain databases and large-scale processing systems | SQL / NoSQL Data modeling ETL APIs Data warehousing |
R, Matlab, SAS, SPSS, Java, Ruby, C++, Perl, SQL | Medium |
| Database administrator | Ensure database seamless performance and availability to all relevant users / stakeholders | Backup and recovery Data modeling and design Hadoop SQL / NoSQL ERP |
C#, Java, Ruby, SQL, Python, XML | High |
| Data analytics manager | Manage Big Data team(s) | SQL / NoSQL Tech leadership and PM Data mining Predictive modeling |
SQL, R, SAS, Matlab, Java, Python | Medium |
| Business analyst (BA) | Improve business process by acting as an intermediary between IT and business |
MS Office Data visualization BI Data modeling |
SQL | High |
| Statistician | Collect, analyze and interpret qualitative and quantitative data with statistical methods | Statistics Data mining Machine learning Hadoop SQL / NoSQL Cloud |
R, SAS, SPSS, Stata, Matlab, Perl, SQL, Spark, Hive, Pig | Medium |
Now let's see how the average annual gross cost of these resources compares to that in Ukraine.
| Role | U.S. National Average, $ / annum* |
Ukraine's National Average, $ / annum** |
|---|---|---|
| Data analyst | 62,300 | 24,000 |
| Data scientist | 119,000 | 26,000 |
| Data architect | 100,200 | 26,000 |
| Data engineer | 96,000 | 30,000 |
| Database administrator | 67,700 | 26,400 |
| Data analytics manager | 117,000 | 36,000 |
| Business analyst | 66,000 | 26,000 |
| Statistician | 75,000 | 15,000 |
*Data source: www.payscale.com
**Data source: https://jobs.dou.ua
