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Job description
SynergisticIT is aware that the job market is challenging due to tech layoffs, which has led to a flood 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 don't just 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, Paypal, Western Union, Visa, Walmart Labs, etc. to name a few. We have an excellent reputation with the clients.
Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, and machine learning engineers.
Who Should ApplyRecent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the 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 having difficulty in finding jobs or cracking interviews or who 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 freshers with no actual job experience with projects with clients
- Have had a break in careers
- Lack of 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 successful 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 CloudWorld Event (OCW) Las Vegas 2022 | SynergisticIT - YouTube
- 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
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, JavaScript, C++, or software programming
- Spring boot, microservices, Docker, Jenkins, and REST API experience
- Excellent written and verbal communication 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 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, PowerBI, 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, then 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. No phone calls, please. Shortlisted candidates would be reached out.
Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Analyst?
A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.
Q: What is the career path for a Data Analyst?
A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.