Sparks Wiz Limited is a premier provider of engineering consulting services, delivering innovative solutions to meet the diverse needs of our clients. We are seeking a detail-oriented Data Entry Clerk to join our team and ensure the accuracy and efficiency of our data management processes. Note: This position is strictly open to candidates within the United States. As a Junior Data Analyst at Sparks Wiz Limited, you will support the data analytics team by collecting, analyzing, and interpreting data to help inform business decisions and strategies. You will work closely with senior analysts and consultants to ensure that data-driven insights are accurate and actionable, contributing to the firm's consulting projects and internal operations. Key Responsibilities: • Data Collection and Management: • Gather and preprocess data from various sources, including internal databases, client data, and external research. • Ensure data integrity and accuracy through regular data validation and cleaning processes. • Assist in maintaining and updating data management systems and databases. • Data Analysis: • Perform basic statistical analysis and data mining to uncover trends, patterns, and insights. • Create and maintain dashboards and reports to visualize key metrics and findings. • Support the development of data models and algorithms for more advanced analytics. • Reporting and Presentation: • Generate regular and ad-hoc reports for internal teams and clients. • Prepare clear and concise presentations of analytical findings and recommendations. • Assist in communicating complex data insights in a straightforward and understandable manner. • Collaboration: • Work closely with senior analysts, consultants, and other team members to understand project requirements and deliver data-driven solutions. • Participate in meetings and discussions to contribute insights and support data-related decision-making. • Continuous Improvement: • Stay updated with the latest data analysis tools, techniques, and industry trends. • Identify opportunities to improve data collection, analysis processes, and reporting methodologies. • Participate in training and development activities to enhance skills and knowledge. Qualifications: • Education: Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. • Experience: 0-2 years of experience in a data analysis role or a related internship. Experience in an engineering or consulting environment is a plus. • Skills: • Proficiency in data analysis tools and software (e.g., Excel, SQL, Python, R). • Experience with data visualization tools (e.g., Tableau, Power BI) is advantageous. • Basic understanding of statistical methods and data modeling techniques. • Strong analytical and problem-solving skills. • Good communication skills, with the ability to present data insights clearly and effectively. Personal Attributes: • Detail-oriented with a strong focus on accuracy and precision. • Eager to learn and grow within the field of data analytics. • Ability to work collaboratively in a team environment and manage multiple tasks. • Proactive and capable of taking initiative in problem-solving. Preferred Qualifications: • Familiarity with data warehousing concepts and tools. • Experience with data cleaning and preprocessing techniques. • Knowledge of engineering and consulting industry practices. Working Conditions: • Remote-based with potential for hybrid work arrangements. • Full-time position with standard working hours; occasional extended hours may be required based on project needs. Job Type: • Full time Pay: • $26.00 - $37.00 per hour Expected hours: • 40 hours per week Benefits: • 401(k) • Dental insurance • Health Insurance • Life Insurance • Paid time off Schedule: • Monday to Friday Work location: • Remote Note: This position is open to candidates within the United states, San Antonio TX, New York City NY, phoenix AZ and Philadelphia PA. People with a criminal record are encouraged to apply Sparks Wiz Limited is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.