DATA SPECIALIST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 8, 2024 – The Data Specialist has experience conducting comprehensive data analyses, demonstrating strong analytical skills, and deriving clear hypotheses from large datasets. This role requires proficiency in writing SQL queries, building data pipelines, and utilizing various Business Intelligence tools to create impactful reports and dashboards. The specialist is skilled at managing multiple tasks under tight deadlines while effectively troubleshooting problems and collaborating within a team-oriented environment.

Essential Hard and Soft Skills for a Standout Data Specialist Resume
  • Data Analysis
  • Database Management
  • SQL Proficiency
  • Data Visualization
  • Data Mining
  • Statistical Analysis
  • ETL Processes
  • Programming Languages
  • Data Warehousing
  • Machine Learning
  • Analytical Thinking
  • Problem-Solving
  • Attention to Detail
  • Communication Skills
  • Team Collaboration
  • Time Management
  • Adaptability
  • Critical Thinking
  • Project Management
  • Creativity

Summary of Data Specialist Knowledge and Qualifications on Resume

1. BS in Statistics with 5 years of Experience

  • Understanding of information management concepts such as controlled vocabularies, authority control, data modeling, and schema design.
  • Strong knowledge of end-to-end data lifecycle across traditional data warehouses, relational databases, operational data stores, business intelligence reporting, and big data analytics.
  • Strong understanding of data governance, metadata management, data quality, data modeling, and data architecture concepts
  • Experience in Metadata Management role within a large corporation preferably high-tech or technology manufacturing
  • Experience creating conceptual and logical data models
  • Experience with metadata managers like Erwin’s Mapping Manager
  • Experience with data profiling tools such as Alteryx
  • Experience with data cataloging tools such as Collibra
  • Extract, Transformation, Load (ETL) development skills
  • Knowledge of data technology products and components for Big Data and Cloud (AWS, Data Lakes, and similar).

2. BS in Computer Science with 3 years of Experience

  • Market research and product/ financial analysis experience.
  • Proven experience preparing detailed reports, recommendations and procedures. 
  • Experience using Google Analytics, SAS Enterprise/ VA software and/or advanced Excel.
  • Must be able to present analyses in an easily digestible format.
  • Must be able to manage multiple priorities and tasks in a fluid environment while maintaining accuracy in all details. 
  • Strong curiosity to understand concepts and willingness to stretch beyond one's comfort zone.
  • PC proficient in Microsoft Office (Word, Advanced Excel, PowerPoint, Outlook,) and the Internet
  • Excellent verbal, written, telephone and interpersonal communication skills. 
  • Critical thinking and problem-solving skills.
  • Ability to function in a Consumer business office environment and utilize standard office equipment including PC, copier, telephone, etc.

3. BS in Information Technology with 4 years of Experience

  • Prior experience with production planning processes and MRP systems including use of a computerized scheduling tool (MS Excel)
  • Hands-on manufacturing production planning experience within the photonics industry including ITAR experience)
  • Prior experience working in Visual ERP
  • Experience working in a fast-paced dynamic production/manufacturing environment
  • Able to comfortably shift plans and priorities daily in a constantly changing environment
  • Must possess skills and interest in technical data and engineering
  • Experience using Microsoft Excel
  • Team player, and able to receive general instructions, develop appropriate project plans and communicate
  • Strong business acumen and aptitude for technology and electronic delivery of financial services.
  • A strong advocate of personal financial management tools and electronic delivery of financial services.

4. BS in Actuarial Science with 5 years of Experience

  • Experience working with data and conducting full-fledged analyses
  • Ability to derive solid and straightforward hypotheses and conclusions from the data and to present it in a structured and clear way
  • Ability to get hands-on in a complex operational environment
  • Ability to manage multiple tasks and work to tight deadlines
  • Strong analytical skills and passion for working with large sets of data
  • Must be process-oriented and a logical thinker with good attention to detail
  • Ability to effectively troubleshoot problems and work collaboratively within a team environment
  • Ability to write SQL queries against large amounts of data and highly desirable to have experience building data pipelines
  • Experience working with multiple Business Intelligence tools, building reports and dashboards
  • Experience working within the technology industry/start-up environment
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