DATA QUALITY SPECIALIST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 2, 2024 - The Data Quality Specialist plays a key role in ensuring the integrity and accuracy of data for time series modeling and media applications. This position requires a meticulous approach to data preparation and a commitment to improving existing processes while engaging with senior stakeholders to drive accountability. Proficiency in advanced Excel functions and a strong ability to work collaboratively within a team environment are essential for achieving targeted goals under pressure.

Essential Hard and Soft Skills for a Standout Data Quality Specialist Resume
  • Data Analysis
  • Data Cleansing
  • Time Series
  • Data Quality
  • SQL Management
  • Advanced Excel
  • Data Visualization
  • Statistical Analysis
  • ETL Processes
  • Data Governance
  • Attention to Detail
  • Problem Solving
  • Communication
  • Team Collaboration
  • Time Management
  • Adaptability
  • Critical Thinking
  • Accountability
  • Proactive Attitude
  • Interpersonal Skills

Summary of Data Quality Specialist Knowledge and Qualifications on Resume

1. BS in Management Information Systems with 5 years of Experience

  • Ability to grasp core data system foundation (SAP, Hybris)
  • Strong comprehension of how data is designed and used
  • Experience and ability to take initiative to streamline
  • Experience and ability to assess, validate and resolve issues via troubleshooting
  • Experience with creation of presentation decks to illustrate issue and solution
  • Experience with presenting insights/process/solution to SLT and cross functional team
  • Experience with reporting and most important, analysis and insights (leading to action items)
  • Must fulfill minimum time-in-data analyst or ecom/data relevant role 
  • Advanced experience with Alteryx or equivalent data processing software
  • Fluency with data, analytics, and visualization technologies (e.g. SQL, Looker, and Tableau)
  • Propensity for new process creation, analyses, business recommendations as well as knowledge sharing
  • Ability to articulate complex issues in a clear and concise manner

2. BS in Data Analytics with 2 years of Experience

  • Experience in Python, Node or R to assist in more complex cleaning of data sets.
  • Experience working with GCP, in particular BigQuery, GCS and Cloud Functions.
  • Experience with structure and requirements for time series modelling
  • Previous experience in a marketing function or preparing data to be using in a media application
  • Attention to detail and process driven
  • Relentless drive to improve current ways of working
  • Comfortable engaging with senior stakeholders and holding them accountable for certain processes.
  • Business standard use of the English language
  • Experience using Excel to an advanced level
  • Target and goal orientated individual with an ability to work under pressure and independently
  • Excellent ability to work well within a team environment
  • Enthusiastic and flexible working attitude

3. BS in Information Systems with 8 years of Experience

  • Strong understanding of Data Governance and Data Management concepts (incl. policies, standards & processes)
  • Experience in setting up and reviewing the Data Governance processes and procedures related to Data Quality (DQ)
  • Experience in defining DQ rules together with data owners, including critical data elements identification
  • Experience in preparing the specific requirements for DQ Dashboards to monitor the efficiency of the DQ activities
  • Capability to analyze and report the DQ issues - prepare the status reports highlighting the progress on solving the DQ issues and the conformity level
  • Experience in initiating DQ actions, assigning responsible persons towards resolution and monitoring the response times
  • Ability to identify and trigger new change requests for source systems to prevent DQ issues
  • Ability to manage and perform data quality improvement activities, including data cleansing monitoring, data enrichment & enhancement and the implementation of data quality controls in the DW/BI environment
Relevant Information
Data Quality Lead Skills, Experience, and Job Requirements