Junior Data Analyst at Sparks Wiz Limited in Remote

Summary: Sparks Wiz Limited is a premier provider of engineering consulting services, delivering innovative solutions to meet the diverse needs of our clients. As a Junior Data Analyst, you will support the data analytics team by collecting, analyzing, and interpreting data to inform business decisions and strategies, working closely with senior analysts and consultants to ensure actionable insights. Responsibilities: - 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 - 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 - 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 - 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 - 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 Required Qualifications: - Bachelors degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field - 0-2 years of experience in a data analysis role or a related internship - 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 - 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 Required Skills: Excel, SQL, Python, R, Tableau, Power BI, Statistical methods, Data modeling, Data cleaning, Data preprocessing, Data warehousing Benefits: 401(k), Dental insurance, Health Insurance, Life Insurance, Paid time off