Job description
Job description
Roles and Responsibilities
- Managing master data, including creation, updates, and deletion.
- Helping develop reports and analysis.
- Supporting initiatives for data integrity and normalisation.
- Providing technical expertise in data storage structures, data mining, and data cleansing.
- Supporting the data warehouse in identifying and revising reporting requirements.
- Degree in Business, Finance, Economics, Computer Science, IT or any equivalent degree.
- Basic knowledge of MySQL & Python
- Should be able to do data visualisation using Tableau or Excel.
- Excellent English communication (both oral and written) and reading comprehension
skills. - Strong analytical and problem-solving skills, with clear attention to detail.
- Ability to prioritise and work under tight deadlines.
- Fast learner, able to master new concepts, theories, ideas, and processes with ease.
- Willingness to work beyond traditional working hours/days as required by the business.
- The person should be open to learning and take new responsibilities.
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
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
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Junior Data Analyst?
A: To succeed as a Junior Data Analyst, key technical skills include proficiency in data visualization tools such as Tableau or Power BI, programming languages like Python or R, and familiarity with databases like MySQL or SQL Server. Additionally, strong soft skills like effective communication, problem-solving, and analytical thinking are crucial for interpreting complex data insights and presenting findings to stakeholders. By combining these technical and soft skills, Junior Data Analysts can effectively drive business decisions and set a strong foundation for career growth and advancement in the field.
Q: What is the career path for a Junior Data Analyst?
A: A Junior Data Analyst typically starts their career progression in an entry-level role, where they gain hands-on experience with data analysis tools and techniques, and gradually move into mid-level positions such as Data Analyst or Business Analyst, where they develop expertise in data visualization, statistical modeling, and business acumen. As they progress to senior roles like Senior Data Analyst or Data Scientist, they take on leadership responsibilities, mentor junior team members, and drive strategic decision-making through advanced data analysis and machine learning techniques. Ultimately, a successful Junior Data Analyst can pursue long-term career prospects in leadership positions, such as Data Manager or Director of Analytics, or transition into related fields like business consulting, product management, or entrepreneurship.
