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Data Quality Analyst II

Sparksoft Corporation
Columbia, USA
Full-time
Senior · 5+ years experience
Hybrid
Discovered 1 weeks ago
TableauSQLRPythonAWS QuickSightPostgreSQL

Full Job Posting

WHAT WE OFFER

  • At Sparksoft, we know that people do their best work when they feel supported, inspired, and connected. That’s why we’ve built a workplace that balances comprehensive benefits with a culture of collaboration and innovation. From flexible time off to professional growth opportunities, we’re committed to helping you thrive both inside and outside of work. When you join Sparksoft, you’ll enjoy:
  • Competitive compensation and a 401(k) with employer contributions to help you plan for the future • Flexible paid time off and hybrid ways of working that support true work-life balance • Comprehensive health coverage—including medical, dental, vision, life, and disability insurance • A curated in-office experience designed to foster community, team connections, and innovation • Opportunities to give back through Sparksoft Cares, including annual company-wide fundraising events • Training and development programs that build new skills and prepare you for leadership roles • A collaborative, transparent, and fun culture—recognized as a Great Place to Work®
  • Accessibility and Accommodations: Sparksoft Corporation is committed to providing equal employment opportunities to all individuals. If you require accommodations during the application or interview process, please contact us at [email protected] or call 410-424-7700. Requests are reviewed and fulfilled on a case-by-case basis.
  • Security Notice: Your privacy and data security are important to us. Sparksoft Corporation will never request sensitive personal information via email. If you receive any suspicious communication claiming to be from Sparksoft, please report it immediately to our security team at [email protected] .
  • Artificial Intelligence (AI) Policy: While Sparksoft values the appropriate use of artificial intelligence in the workplace, candidates must complete interviews and independent assessments using their own knowledge and abilities. Unless expressly permitted by Sparksoft, the use of AI during interviews and assessments is strictly prohibited. Violations may result in disqualification. Please contact your recruiter regarding accommodation needs.

Requirements

  • Analyze structured and unstructured data from multiple sources to identify errors and inconsistencies, correct data issues, and implement processes that improve data accuracy, completeness, and reliability.
  • Ensure the accuracy, completeness, and reliability of APS data.
  • Work with a range of data types, including structured and unstructured data, and use a variety of tools and techniques to analyze and improve data quality.
  • Use tools and techniques such as statistical analysis, data cleansing and transformation tools, and data governance frameworks.
  • Develop and implement data quality policies, procedures, and standards.
  • Document processes, prepare reports, and make recommendations for process improvements.
  • Develop new processes and procedures to enhance operations.
  • Collaborate with other teams to implement changes or updates in the existing reports.
  • Advanced Excel expertise required including use of pivot tables, formulas, conditional formatting, etc.
  • Present responses and findings to business owners, customers, leadership.
  • Provide support in ad-hoc analysis to meet customer needs.
  • Perform statistical tests on large datasets to assess data quality and integrity.
  • Collaborate with internal team to improve data collection and storage processes.
  • Analyze and identify data quality issues, develop methods to address data quality problems.
  • Review and understand artifacts related to data ingestion and transformation as it applies to data validation and analysis.
  • Provide quality assurance reports using tools like Excel, SharePoint, Power BI, and Tableau.
  • Streamline internal processes and strengthen organizational support using Excel, SharePoint, Power BI, and Tableau.
  • Performs ad hoc data analysis to support programmatic questions and stakeholder requests.
  • Works as part of a project team to determine project requirements, goals, implementation, and schedules.
  • Develop scripts and dashboards to monitor the accuracy and quality of data flow.
  • Maintain data accuracy and quality checks by monitoring/reviewing the dashboards and reports regularly.
  • Provide training for internal users and customer stakeholders.
  • Provide technical leadership within the data analytics team and mentor junior team members.
  • Peer review of team members’ work outputs for quality assurance.
  • Experience with data analytics tools (SQL, R, Python) and data visualization tools (like Tableau, PowerBI, AWS Quicksight).
  • Knowledge of databases (PostgreSQL, Oracle) and data modeling.
  • Assess/evaluate to deliver timely data reporting, and data solutions against client requirements.
  • Ensure customer satisfaction through follow-up, client responsiveness, and thorough communication.
  • Ability to manage multiple clients and projects/tasks simultaneously.
  • Participate in Agile ceremonies, such as sprint planning, daily stand-ups, and retrospectives, to provide input on testing progress and challenges.
  • Technical Competencies: Advanced Excel skills, including pivot tables, formulas, and conditional formatting; proficiency with SQL, R, or Python; experience with Tab.

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