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Group Nine LLC

Data Analyst (Onsite)

Group Nine LLC, Fort Lauderdale, Florida, us, 33336


Data Analyst (Onsite)

Juno Beach, FL

Locals Only

12+ MonthsMust-have Skills1-3+ years of experience in data analysis, data management, and SQL;Experience with visualization tools such as Tableau, Power BI, or similar;Proficiency in Python, R, or other programming languages.PREFERRED:Experience in the energy sector or large companies;Knowledge of data integrity and data cleaning processes;Familiarity with data governance and data quality management principles;Experience with big data frameworks and technologies.CERTIFICATIONS:

Certification in data management or data analysis (e.g., CDMP, CAP).RequirementsAvailability to work 100% of the time at the Client's site in Juno Beach, FL (required);Experience in data analysis, data management, or a related role (1-3 years);Strong Excel skills;Experience with data integrity and data cleaning processes;Proficient in SQL and at least one programming language such as Python or R;Familiarity with data visualization tools such as Tableau, Power BI, or similar;Strong understanding of data governance and data quality management principles;Passion for data integrity and data quality initiatives;Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.PreferredExperience working in the energy sector or with energy-related data;Experience with big data frameworks and technologies;Certification in data management or data analysis (e.g., CDMP, CAP).Responsibilities Include But Are Not Limited To The FollowingPerform comprehensive data integrity assessments across different datasets and systems;Conduct data cleaning activities to rectify inconsistencies, inaccuracies, and duplications;Direct outreach to colleagues requesting they address data issues;Develop and implement data quality rules, standards, and processes; support the development of automated data cleaning and validation scripts;Work collaboratively with data owners, IT, and other stakeholders to align on data governance practices;Utilize data analysis tools (i.e., PowerBI) and techniques to identify patterns and trends;Document data quality issues and remediation actions taken; provide regular progress reports and data quality metrics to project leaders.

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