Data Quality Analyst - Entry Level - Remote

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Written by AI from the job title and company, not by NiSource, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Data Quality Analyst - Entry Level position at NiSource is designed for individuals who are entering the field of data analysis and possess a keen interest in ensuring the integrity and accuracy of data. This role will involve actively monitoring data quality processes, identifying discrepancies, and collaborating with various teams to implement solutions that enhance data reliability. The candidate will gain valuable experience in data auditing and validation while supporting team initiatives aimed at improving overall data governance within the organization.

Job Responsibilities

• Assist in the execution of data quality assessments and audits to identify data anomalies.
• Collaborate with cross-functional teams to disseminate best practices for data management.
• Support the development of data quality metrics and reports for stakeholder review.
• Perform root cause analysis on data quality issues and recommend process improvements.
• Utilize various tools and methodologies to monitor data integrity and quality standards.
• Document all findings and work closely with team leads to implement corrective actions as needed.

Qualifications

• Bachelor's degree in Data Science, Information Technology, Computer Science, or a related field.
• Strong analytical and problem-solving skills, with attention to detail.
• Proficiency in Microsoft Excel and familiarity with data management software.
• Basic understanding of SQL or other database querying languages is preferred.
• Exceptional verbal and written communication skills.
• Eagerness to learn and adapt to new technologies and methodologies.

Technologies & Tools

The Data Quality Analyst will primarily work with data management and visualization tools, such as Microsoft Excel, SQL, and data quality assessment software. Familiarity with data integration tools and report generating software will be advantageous in executing the responsibilities of this role effectively. The team may also employ various programming languages such as Python or R for data preprocessing and analysis tasks.

Ideal Candidates

The ideal candidate for the Data Quality Analyst position is someone who is detail-oriented and possesses strong analytical thinking skills. A proactive approach to identifying data issues and an eagerness to learn the ins and outs of data quality processes will set successful candidates apart. Additionally, effective communication skills and the ability to collaborate well within a team environment are essential qualities. A passion for data and a commitment to maintaining high standards of quality will greatly contribute to the candidate's success in this role.