DATA ANALYTICS ENGINEER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 3, 2024 – The Data Analytics Engineer has extensive experience as a Data Analyst in data-driven environments, proficient in building and supporting financial reports using SSRS, SSIS, and BI tools like Looker, Tableau, and PowerBI. This role requires advanced SQL skills for data extraction and modeling, and expertise in implementing Data Warehouse models and ETL processes. The engineer has strong communication skills to collaborate effectively with technical and non-technical stakeholders, ensuring the ability to manage multiple tasks and adapt to changing priorities.

Essential Hard and Soft Skills for a Standout Data Analytics Engineer Resume
  • Data Mining
  • SQL
  • Python
  • Data Visualization
  • Machine Learning
  • ETL Processes
  • Statistical Analysis
  • Data Warehousing
  • Data Cleaning
  • Big Data Technologies
  • Problem-Solving
  • Communication
  • Critical Thinking
  • Team Collaboration
  • Adaptability
  • Attention to Detail
  • Time Management
  • Creativity
  • Leadership
  • Analytical Thinking

Summary of Data Analytics Engineer Knowledge and Qualifications on Resume

1. BS in Data Science with 5 years of Experience

  • Strong knowledge of SQL
  • Experience in data integration and/or ETL frameworks
  • Experience in software development using object-oriented programming languages
  • Experience with creating and deploying solutions that are hosted in cloud platforms like AWS, Salesforce, Azure or Google Cloud Platform
  • Experience with Git/Github or similar version control systems
  • Proven problem-solving and analytical skills with a data-driven mindset
  • Ability to partner effectively with management and internal teams
  • Strong written and verbal communication skills
  • Experience in developing large-scale Dataware (e.g. Hadoop, Spark, SCALA)
  • Experience with data visualization and related tools (e.g. Tableau)

2. BS in Statistics with 4 years of Experience

  • Experience applying data analytics techniques to solve real-world problems
  • Strong algorithm design skills
  • Strong mathematical background (linear algebra, calculus, probability and statistics)
  • Machine Learning experience (regression and classification, supervised, and unsupervised learning)
  • Programming experience with Python (Numpy, Scipy, Scikit-Learn, Matplotlib, TensorFlow, etc.), MATLAB, R, or similar languages
  • Communicate verbally and in writing in a clear and professional manner
  • Able to work in a rapid-paced environment, managing and tracking multiple tasks with speed and accuracy
  • Highly service-oriented disposition with an aptitude in problem-solving
  • Strong organizational, time management, and prioritization abilities
  • Should be able to deal with difficult, sensitive, and confidential issues

3. BS in Information Technology with 6 years of Experience

  • Experience as a Data Engineer or in a similar role
  • Experience with data modeling, data warehousing, and building ETL pipelines
  • Experience working in SQL
  • Proficiency in one or more of the following languages - Python, Java, R or similar.
  • A real passion for technology, with keen to demonstrate their existing skills while trying new approaches.
  • Ability to communicate effectively and work independently with little supervision to deliver on time quality products
  • Understanding of Big Data technologies and solutions (Spark, EMR, Hive, S3, Redshift, etc.)
  • Understanding of Amazon Web Services (AWS) technologies
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
  • Experience with Snowflake, Teradata or another parallel database.

4. BS in Business Analytics with 5 years of Experience

  • Experience as a Data Analyst in a data-driven environment
  • Solid experience building, deploying, maintaining, and supporting financial reports via SSRS/SSIS or BI tools (Looker, Tableau, PowerBI, etc.)
  • Ability to define and create appropriate KPIs and insightful stories to track the right metrics in business dashboards
  • Advanced SQL skills to extract and model data from a variety of data sources
  • Experience implementing Data Warehouse models (DBT, Kimball and/or Data Vault), ETL processes
  • Experience with SDLC within a Data Warehouse context, including experience using Git and familiarity with Continuous Integration and Deployment
  • Excellent communication skills with both technical and non-technical stakeholders
  • Proactive and motivated team player, creative problem solver with strong attention to details
  • Familiarity with basic statistical concepts
  • Must be able to handle multiple tasks with changing priorities, communicating changes in scope and schedule to all parties concerned.
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