Entry Level Data Analyst jobs in United States

Job Summary

We are looking for an enthusiastic Data Analyst to work on projects for Analytics and Innovation team (AI) within a large financial organization.

Mandatory Skill-set

• Must Have Diploma or Degree in Computer Science, Information Systems, Data Science or equivalent;
• Must have 2-3 Years of experience in Data Analysis Such as data extraction, transformation, and manipulation such as ETL Tools;
• Must have experience in Qlik view or Qlik Sense, for Data and dashboard reporting;
• Must be expertise in building and maintaining ETL (Extract, Transform, Load) processes that are scalable, efficient, and error-free;
• Must have exposure in Developing dashboards with detail drilldowns, threshold gauges, alerting mechanisms and populate report;
• Ensure documentation of processes, analytics design, measure definitions, data integration and development;;
• Must be responsible for test planning, creation, execution defects management and regular status reporting;
• Able to Perform deployment for dashboards or backend data related new build or change requests;
• Must be experience with data visualization tools such as Tableau, Power BI, or libraries in Python (e.g., Matplotlib, Seaborn);
• Strong written and verbal communication skills.

Desired Skill-set

• Experience with agile methodologies or similar frameworks preferably if Product Related to Securities/Assest Management or at least Financial Product.

Responsibilities

• Manage and report on initiative activities and identify issues affecting the performance outcomes of initiative to key stakeholders;
• Design, build, and maintain robust data pipelines that efficiently transport data from various sources to the storage systems;
• Improve data collection processes to capture more relevant, clean, and useful data for analysis;
• Cleanse and preprocess raw data to ensure it is accurate, complete, and in the right format for analysis;
• Perform data validation to ensure the integrity of the dataset and handle any inconsistencies;
• Support the operationalization of data systems, ensuring that data flows seamlessly from collection through processing and storage;
• Work closely with data scientists, software engineers, and business analysts to understand data needs and deliver suitable solutions;
• Provide support in troubleshooting issues, optimizing processes, and continuously improving system performance.

Should you be interested in this career opportunity, please send in your updated resume to apply@sciente.com at the earliest.

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