Job description
SYNERGISTICIT is aware that the Job Market is Challenging because of Tech Layoffs. The Job market is flooded with hundreds and thousands of laid-off Jobseekers competing with existing Jobseekers. For entry-level Job seekers to get client interviews and jobs they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients.
Since 2010 we have helped Jobseekers differentiate themselves by providing clients with candidates who have the requisite skills and experience to outperform at interviews and clients
Here at SynergisticIT We just don't focus on getting you a Job we make careers. All Positions are open for all visas and US citizens We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, and Paypal, western union, Client, visa, Walmart labs, etc., to name a few. We have an excellent reputation with the clients
Currently, we are looking for Entry Level Data Analyst (Remote)
Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
We also offer Skill enhancement programs for candidates who are either missing skills or lacking Industry/Client experience with Projects and skills. Candidates have difficulty finding jobs or cracking interviews or want to improve their skill portfolio.
If they are qualified with enough skills and have hands-on project work with clients then no need for skill enhancement.
Candidates can benefit from skill enhancement if they fall into the below categories.
Candidates who Lack Experience or are fresher with No actual Job experience with projects with clients who Have had a break in careers Lack Technical Competency or skills being demanded by clients Different visa candidates (Like OPT/H4EAD/L2EAD) who want to get employed and settle down in the USA please check the below links to see success outcomes of our candidates https://www.synergisticit.com/candidate-outcomes/
Watch the below videos of us participating in Industry events with the Top companies in Technology at Oracle Cloud World/Oracle Java One (Las Vegas) and at Gartner Data Analytics Summit (Florida)
Oracle Cloud World Event (OCW) Las Vegas 2022 | SynergisticIT - YouTube https://www.youtube.com/watch?v=OAFOhcGy9Z8
https://www.youtube.com/watch?v=EmO7NrWHkLM https://www.youtube.com/watch?v=NVBU9RYZ6UI
https://www.youtube.com/watch?v=Yy74yvjatVg SynergisticIT at Gartner Data and Analytics Summit 2023 - YouTube
https://www.synergisticit.com/java-track/ https://www.synergisticit.com/data-science-track/ https://www.synergisticit.com/contact-us/
If you have relevant skills and industry experience, please apply if not then candidates can opt for Skill enhancement.
For getting help with interviews please visit
https://www.synergisticit.com/interview-questions/
REQUIRED SKILLS for Java /Software Programmers
· Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
· Highly motivated, self-learner, and technically inquisitive
· Experience in programming language Java and understanding of the software development life cycle
· Project work on the skills
· Knowledge of Core Java, java script, C++ or software programming
· Spring boot, Micro-services, Docker, Jenkins and REST API's experience
· Excellent written and verbal communication skills
For data Science/Machine learning
REQUIRED SKILLS
· Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
· Project work on the technologies needed
· Highly motivated, self-learner, and technically inquisitive
· Experience in the programming language Java and understanding of the software development life cycle
· Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools
· Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, Power BI, Time series analysis
Please understand skills and relevant experience on real-world projects are required by clients for selection even if it's a Junior or entry-level position the additional skills and Project work with hands-on experience building projects at the client site are the only way a candidate can be picked by clients. If not having the skills or hands-on project work at the client site, candidates can opt for skill enhancement to gain the required skills and project work. No third-party candidates or c2c candidates
please only apply to the posting
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Entry Analyst?
A: To succeed as a Data Entry Analyst, key technical skills include proficiency in data management software such as Microsoft Excel, proficiency in data entry tools like keyboarding and typing software, and knowledge of database management systems. Soft skills like attention to detail, organizational abilities, and strong communication skills are also crucial, as they enable analysts to accurately and efficiently process data, identify errors, and collaborate with colleagues. By combining these technical and soft skills, Data Entry Analysts can effectively manage and analyze data, supporting informed business decisions and driving career growth through opportunities for advancement and specialization.
Q: What is the career path for a Data Entry Analyst?
A: A Data Entry Analyst's typical career progression involves starting as an entry-level Data Entry Clerk, where they focus on accurately and efficiently entering data into computer systems. As they gain experience, they can move into mid-level roles such as Data Coordinator or Junior Data Analyst, where they begin to analyze and interpret data, and develop skills in data visualization and reporting. With further advancement, they can become a Senior Data Analyst or Data Manager, overseeing large-scale data projects, developing data-driven strategies, and mentoring junior team members, ultimately leading to opportunities in leadership or specialized roles like Business Intelligence Analyst or Data Scientist.
