DATA ANALYTICS DEVELOPER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Reviewed by Lam Nguyen under Editorial Standards

Updated: Mai 19, 2025 - The Data Analytics Developer has extensive experience in OBIEE, Data Visualization, Informatica, and Python, and the ability to design and develop complex Informatica mappings, sessions, and workflows while identifying optimization opportunities. This role requires proficiency in Oracle RDBMS 12g, knowledge of Informatica Change Data Capture on DB2 z/OS, Informatica Power Exchange, and OLAP techniques, and strong analytical and problem-solving skills. Excellent communication abilities facilitate effective teamwork, while a proven track record of mentoring and coaching enhances team performance in delivering data-driven insights.

Essential Hard and Soft Skills for a Standout Data Analytics Developer Resume

  • SQL
  • Python
  • R
  • Data Visualization
  • ETL
  • Machine Learning
  • Statistical Analysis
  • Big Data Technologies
  • Data Warehousing
  • Data Mining
  • Problem-Solving
  • Communication
  • Critical Thinking
  • Teamwork
  • Adaptability
  • Attention to Detail
  • Time Management
  • Creativity
  • Interpersonal Skills
  • Analytical Mindset

Summary of Data Analytics Developer Knowledge and Qualifications on Resume

1. BS in Data Science with 7 years of Experience

  • Experience working with BI data analysis tools. 
  • Experience working with BI Visualization tools and/or BI Front end tools
  • Must have experience testing and documenting own development. 
  • Experience working with overall test case development
  • Experience in deployment aspects of BI solutions to business users.
  • Experience working in FDA FDA-regulated environment 
  • General knowledge of Enterprise Resource planning systems 
  • Working knowledge of SQL and the ability to understand simple to moderate SQL statements.
  • Exposure to ETL tools
  • Good understanding of release workflows such as Production, QA, Test, and Dev.
  • Excellent analytical and problem-solving skills.

2. BS in Computer Science with 5 years of Experience

  • Experience working as a Data and ETL Developer, and/or a Data Analyst
  • Experience supporting Data Operations
  • Familiarity with SQL and relational database architecture.
  • Familiarity with production Big Data, Database or Data Warehousing systems.
  • Experience with Microsoft SQL Server Integration Services (SSIS)
  • Customer interfacing experience – project oversight, customer presentation
  • Ability to work under pressure and adhere to deadlines.
  • Ability to work both in a team-oriented environment and independently with minimal supervision.
  • Capable of working in a cross-functional and globally dispersed team environment, with varying levels of experience and skillsets.
  • Excellent technical writing skills, including experience delivering and presenting proof of concepts
  • Ability to recognize issues urgency and prioritization

3. BS in Information Technology with 8 years of Experience

  • Experience working with OBIEE/Data Visualization/Informatica/Python
  • Ability to design and develop complex Informatica mappings, sessions, and workflows and identify areas of optimizations
  • Experience working with Oracle RDBMS 12g
  • Effective communication skills (both oral and written) and the ability to work effectively in a team environment
  • Proven ability and desire to mentor/coach others in a team environment
  • Strong analytical, problem solving and presentation skills.
  • Working knowledge with Informatica Change Data Capture installed on DB2 z/OS
  • Working knowledge of Informatica Power Exchange
  • Experience with relational, multidimensional and OLAP techniques and technology
  • Experience with OBIEE tools version 10.X
  • Experience with Visualization tools like MS Power BI, Tableau, Oracle DVD

Professional Skills FAQs

What are professional skills?

Professional skills are abilities that help individuals perform tasks effectively in a workplace environment. These skills include both technical competencies required for specific roles and soft skills such as communication, teamwork, and problem solving.

What is the difference between hard skills and soft skills?

Hard skills are technical abilities learned through education or training, such as programming, data analysis, or laboratory testing. Soft skills refer to interpersonal abilities like communication, leadership, adaptability, and teamwork.

Why are professional skills important for careers and resumes?

Professional skills help employers evaluate whether a candidate can perform job responsibilities effectively. Listing relevant skills on a resume demonstrates qualifications and helps applications pass Applicant Tracking Systems used in modern hiring processes.

What professional skills do employers look for?

Employers usually value a combination of technical expertise and transferable workplace skills. Common examples include analytical thinking, communication, teamwork, leadership, time management, adaptability, and digital literacy.

How can professionals develop professional skills?

Professionals can develop skills through continuous learning, training programs, certifications, mentorship, and practical work experience. Staying updated with industry trends also helps individuals maintain relevant and competitive skills.

Editorial Process

Lamwork content is developed through structured review of publicly available job postings and documented hiring trends.

Editorial operations are managed by Thanh Huyen, Managing Editor, with research direction and final oversight by Lam Nguyen, Founder & Editorial Lead. Content is periodically reviewed to reflect observable labor market changes.

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