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Recruiting In The Data Analytics Landscape


Data analysts are high in demand these days. But certainly [url=http://www.cheapwholesalejerseyssoccer.com/]Cheap Soccer Jerseys China[/url] , you want to know what is the reason behind? What are the trends in data hiring? What skill set is needed to become a data analytics? What are the basics to catch the eye of the recruiter?

Which Companies Or Organization Need Data Analysts?

Tech legacy companies, tech leaders, real estate to health care, and from finance to biotech, every company needs smart, capable data-literate professionals who analyze the reams of data and draw actionable insights to steer the company forward.
Take a look at the top industries hiring candidates with data expertise:


Chart via Forbes

What Are The Responsibilities Of Data Analysts?
Data Analyst is typically an entry-level position on a company鈥檚 data team.
The main buckets of responsibility are:
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Uncovering and reporting on meaningful insights from that data
What Skill-Set Is Necessary For Data Analyst?
- The combo of analytical (mathematics, statistics, programming) and communication (presentation and data visualization) skills.
- Couple a systematic approach to problem-solving with a high attention to detail
- Ability to apply skills in the specific context of company鈥檚 business.
- Experience writing software to extract and analyze data using a programming language like Python or R
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- Knowledge of machine learning and data-mining techniques
- Experience building interactive visualizations with or other data tools

Take a look at the top most in-demand data skills:

Chart via Forbes

What Is The Growth Chart Of Data Analytics Sector?
Hiring in the data industry will not slow down. In spite, data scientist hiring is projected to increase by 18.7 % in between 2010-2020.

How Skillventory Help Clients To Meet Their Requirements?

Data and Analytics recruitment is our core business, and we鈥檙e proud to say, our clients believe we鈥檙e good at it. We have immersed ourselves in this market and are now an integral part of this business community.
We understand Data space across domains very well and specializes in Data Analytics hiring. We have helped our clients from IT Consultancies, Big 4, FinTech [url=http://www.cheapwholesalejerseyssoccer.com/]Cheap Jerseys Free Shipping[/url] , Financial Institutions, NBFC, Insurance Firms, KPO, Market Research Firms, Specialized Firms in DA [url=http://www.cheapwholesalejerseyssoccer.com/]Cheap Jerseys From China[/url] , etc. to recruit top talent in minimum time. Our team is technical enough to understand needs of specific roles and to spot right talent.
We recruit for C-level executives to entry-level candidates and from analytical to technically sound candidates. To name a few, we recruit for SQL, SSIS, SSRS, Statistical Modelling, Data Visualization [url=http://www.cheapwholesalejerseyssoccer.com/]Cheap Jerseys China[/url] , Risk Marketing HR Consumer Pricing Analytics, Big Data, Quantitative Modelling, Hadoop, Sas, R [url=http://www.cheapwholesalejerseyssoccer.com/]Cheap Jerseys[/url] , etc.

HOW WE DO IT AT SKILLVENTORY
Skillventory use tried and tested models in its recruitment processes. We gained valuable market knowledge, and now using the knowledge to provide that kind of recruitment and consulting services which are second to none in the industry.
Our Work Process
- Role understanding 鈥?functional and technical aspects
- Execution plan
- Deep search
- Presenting right fit candidates
- Continuous engagement

WHAT SETS SKILLVENTORY APART?
Feedback shows it鈥檚 our relationship building and industry knowledge which keeps us apart. We immediately fully understand client recruitment briefs and career aspirations, placing a huge emphasis on delivering a professional and quality experience every time we engage with our customers.

We have:
- Thorough understanding of the space
- Team with technical and functional understanding
- Closed 500+ roles in this space

It is the evidence of our active approach and endeavors to make the recruitment process simple, easy and ultimately successful for everyone.

Conclusion
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