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Big Data
Every day, we all make hundreds of interactions which involve data. This will only increase with the advent of new technology, so data jobs are becoming increasingly important. If you’re looking for your next role as a Data Scientist, Data Engineer or Data Analyst, the specialist recruiters at Salt are here to help.
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Jobs: Big Data
Job Industry: Big Data
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Lead Security Analyst - Security Operations Center $150,000 SOC, TOC, NOC, SIEM, Security Analyst, Cybersecurity, Salt has partnered with a leading MSP who are looking to add a Lead SOC…
Salt has partnered with a global business services organization to hire a senior AI Network Engineer, the business is developing cloud based solutions that helps its customers understand data to…
What are Data jobs?
The field of data encompasses Data Scientists, Data Engineers and Data Analysts. Data Engineers create the systems which the Scientists and Analysts use to examine data. Data Scientists make predictions based on data patterns. Data Analysts use data to answer questions.
Salary information and career progression
| Data Analyst | $80,000 - $130,000 |
| Data Scientist | $130,000 - $160,000 |
| Machine Learning Engineer | $110,000 - $150,000 |
| Lead Data Scientist | $150,000 - $200,000 |
| Data Engineer | $120,000 - $150,000 |
| Senior Data Engineer | $160,000 - $180,000 |
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Opportunity
Opportunities for data-related roles are likely to grow as more companies utilise data for their products and services. Emerging fields like the Internet of Things, which allow businesses to work with data in new ways, are also likely to offer Data Scientists, Data Engineers and Data Analysts more opportunities.
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Recent changes to the sector
The biggest recent change in the data sector is its rapid expansion. Data is becoming huge, and businesses across most industries are hiring Data Scientists to help them make better business decisions and forecast future performance.
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Salt’s advice for securing a Data Analyst job
Employers’ requirements for Data jobs
Employers looking to fill data roles will prefer candidates who have previously worked with statistics, analytics and applied mathematics. Naturally, experience working in Data Science, Engineering or Analytics is also a big plus, as is having a good knowledge of machine learning capability and associated algorithms.
- Experience with Hadoop – ecosystem search, Big Data from Apache, data lakes
CV requirements for Data professionals
Your CV should include relevant work experience, along with technical skills like SQL and Python capabilities. Industry-specific experience will also help in securing specific roles. For Data Scientists, details of your PhD (if you have one) are desirable.
Interview preparation
During your interview, you should be prepared to talk about your PhD or any other relevant qualifications you have undertaken. Questions may vary by industry but expect to discuss what you have learned from your previous jobs, and how you would bring that knowledge to the table.
Educational requirements
Data Scientist applicants will ideally have studied statistics or mathematics academically. Candidates with PhD qualifications are preferred for high-level Data Science roles.
Top Tip
"Discuss your journey into the computational side and how you have picked up engineering capabilities or understanding "
— Michaela Killick, DirectorSpeak with Michaela Killick about Big Data
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