Buckle Up: Grab a Job as a Senior Data Analyst Before It’s Too Late
Data analysts, the most in-demand job in 2020!
This statement further confirmed by the World Economic Forum, claims that the role of a data analyst will be sought after by companies across the globe.
What’s even more surprising is that the demand for data analysts has grown six-fold as compared to how it used to be five years back, according to the LinkedIn Workforce Report.
What IBM had to say?
The surge in demand for data professionals such as data engineers, data developers, and data scientists will lead to newer job openings of 700,000 by 2020.
Like it or not, there is no doubt about big data analyst or data analytics professionals to be the job roles that are constantly being talked about.
If you have paid the slightest attention to the job market, you might have noticed a stirring buzz in the big data industry.
Every top employer or even the smallest startup is keen on hiring big data professionals such as a big data analyst or a senior big data analyst.
What is the career path of a senior big data analyst?
👉Condition 1: If you’re a candidate with a Bachelor’s degree
1. Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Social Sciences, Management, Finance, and related disciplines.
2. For candidates with a Bachelor’s degree would require a minimum of 2 years’ work experience in fields such as Statistics, Data, Business Analytics, Computing, and Business Intelligence.
👉Condition 2: If you’re a candidate with a Master’s degree
1. Master’s degree in Mathematics, Statistics, Computer Science, Applied Sciences, Social Sciences, Finance, Management, and related disciplines.
2. A minimum of 1 year of work experience in the field of Business Analytics, Data, Statistics, Computing, and Business Intelligence.
Irrespective of your educational qualification or work experience you can take up a career in big data.
Job responsibilities and objectives: -
Support:
· The SBDA supports the business where logical and conceptual data flows in support of the requirement of a departmental project.
· Execute change management activities.
· Mining the company’s database.
· Enables improvement in the data quality
Management:
· Oversee the activity of a junior data analyst.
· Ensure the execution of the projects is done efficiently.
· Develops well-structured analytical plans.
· Documents potential data source in support of projects.
Collaboration:
· Work across the different business domains to understand the organization’s business functions.
· Collaborate with stakeholders, departmental heads, and management to conduct gap analyses and create functional designs.
Analytics:
· Take responsibility for building KPIs within the business and developing ad hoc reports.
· Responsible for building statistical models and validating to improve those performances over time.
· Also, tasked with handling the regular maintenance and up-gradation of data warehouse servers like SQL.
Tell employers you’re ready for the next step: Download FREE INFORMA for more details!
What are the best certification programs to choose from?
👉Data Science Council of America (DASCA)
For a young researcher or a business analyst who is thriving to get into big data analytics, the DASCA’s SBDA™certification program is an ideal choice.
You can now easily get certified through the Data Science Council of America (DASCA). DASCA has positioned itself to be one of the world’s highly credible, third-party vendor-neutral certification body for professionals struggling their way forward into the big data field.
DASCA not only revolutionizes higher quality with the coursework but also provides knowledge-kit that is developed around DASCA Essential Knowledge Framework (DASCA-EKF™). This is curated in efforts to provide the most recent coursework, content, and structure to aspiring big data analysts to take that plunge positioning them a step higher in their career.
👉Cloudera and Hortonworks
As Cloudera merges with Hortonworks, it forges to take the company at a higher level where professionals can transform complex data into actionable insights. For big data professionals looking to get into a data analyst profile may choose the CCA Data Analyst certification program.
The CCA Data Analyst certification helps you demonstrate skills to employers. This qualifies you in structuring, preparing, and analyzing data in Cloudera’s CDH environment.
Based on your skill knowledge and learning requirement you may choose from any one of these certification bodies.
Currently, we’re at a pace where the transformation of academic content is yet to match the evolution of the ongoing tech world. While universities are still at a slower pace in reforming these changes, it is a privilege for certification bodies to take the lead.
Enhance your big data career and join the senior big data analyst community!
Originally Published at https://the-dots.com/
