Job description
About Us:
Synergistic IT is a full-service staffing and placement firm servicing client in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We Intend to deliver exceptional student outcome. We don't just help you secure a tech job but build a solid career in technology.
Job Description:
· Managing master data, including creation, updates, and deletion.
· Managing users and user roles
· Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.
· Generating reports from single or multiple systems.
· Troubleshooting the reporting database environment and reports
· Evaluating changes and updates to source production systems.
· Training end-users on new reports and dashboards.
· Providing technical expertise in data storage structures, data mining, and data cleansing.
Skill Required-
· Data Visualization.
· Data Cleaning.
· MATLAB.
· R.
· Python.
· SQL and NoSQL.
· Machine Learning.
· Linear Algebra and Calculus.
Education Requirement: -
Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.
Benefits:
· On Job Technical support
· E- verified
· Filing of H1b and Green card
· Full time position
Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.
If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you
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.
