DATA ANALYST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Published: October 8, 2024 - The Data Analyst excels in analyzing significant amounts of information with meticulous attention to detail and accuracy. With a strong command of Power BI and data modeling, this role supports services, sales processes, sales operations, and finance, utilizing extensive analytical skills to improve business outcomes. The ability to communicate effectively with both business and IT stakeholders, coupled with a proven track record as a data or business data analyst, ensures that strategic data insights drive organizational success.
Essential Hard and Soft Skills for a Standout Data Analyst Resume
- SQL
- Data Visualization
- Data Manipulation
- Statistical Analysis
- Programming
- Machine Learning
- Database Management
- Data Warehousing
- Big Data Technologies
- ETL Processes
- Analytical Thinking
- Problem-Solving
- Attention to Detail
- Communication
- Time Management
- Adaptability
- Teamwork
- Project Management
- Critical Thinking
- Creativity
Summary of Data Analyst Knowledge and Qualifications on Resume
1. BS in Data Science with 4 years of Experience.
- Experience is required in a data engineering-related role (Data Warehouse Developer, ETL Developer, Business Intelligence Analytics, Software Engineer) with a track record of manipulating, processing and extracting value from datasets
- Experience in collection, mining, reporting, and analysis of large amounts of data
- Experience designing, implementing and managing highly scalable data driven platforms that are performant and timely
- Experience in a variety of data storage platforms (Snowflake, Redshift, MySQL, Postgres, Oracle, RDS, AWS S3)
- Expert proficiency in SQL and DevOps experience
- Proven track record of innovation and expertise in data engineering
- Must be able to maintain government eligibility requirements
- Must be able to obtain and maintain a Secret clearance
- Solid understanding of various data models
- Skilled in Excel spreadsheet and reporting applications, including V-lookups, pivot tables, and queries
2. BS in Statistics with 2 years of Experience.
- Relevant work experience in analytics and/or business intelligence
- Strong analytical skills with a proficient ability to read/write complex SQL queries to analyze data
- Experience with data visualization tools (Tableau, Looker, etc.) coupled with strong storytelling skills for technical and non-technical audiences
- Experience taking vague requirements and manipulating them into polished final products
- Strong and effective communication and presentation skills
- Experience in statistical analysis tools like R or Python
- Understanding of data warehousing concepts and design
- Prior experience in Media/Entertainment
- Passion for sports content
- Capable of working independently with minimal oversight
- Considerable understanding of data management and manipulation
3. BS in Computer Science with 3 years of Experience.
- Ability to communicate in a pan pacific environment with strong collaborative and interpersonal skills.
- Demonstrated ability to effectively guide and influence within a dynamic matrixed environment.
- Validated leadership skills, discernment, and ability to lead and operate at both a process center level and overall total system level.
- Previous analytics experience in a retail, manufacturing or supply chain field
- Hands-on experience with SQL, Python or another programming language.
- Experience working with data warehouse, reporting tools.
- Strong history of success in similar environments.
- Industrial engineering background.
- Experience with Splunk and Linear Programming
- Data Science/ML Experience.
4. BS in Information Technology with 2 years of Experience.
- Experience in a data driven role
- Strong analytical skills and business acumen with an eye for detail and accuracy
- Customer and results focused, with an ability to work with stakeholders to understand and act based on their needs, assess risks, and achieve a valued result
- Comfortable with ambiguity and able to operate in a matrix environment with complex tasks
- Proven problem solving skills with the ability to break down high-level data into easily communicated information
- In-depth prioritization, planning, and change management skills to stay within time/scope of a task in a fast-paced environment
- Intermediate to Advanced user of SAS (SAS Enterprise Guide)
- Experience in SQL Coding and SQL databases
- Intermediate to Advance use of Tableau or other visualization tools to create reports, visualization of insights & analysis
- Advanced user of Microsoft Excel
5. BA in Business Analytics with 1 year of Experience.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
- Strong executive communication and the ability to deliver clear instruction over digital, written, and live communications.
- Strong communication and collaboration skills with capability to execute with business and IT stakeholders.
- Ability to translate isolated data asks into broader business needs to deliver greater impact
- Strong working knowledge of Power BI and data modeling.
- Experience with Services, Sales Process, Sales operations and/or Finance
- Familiar with financials, pipeline, forecast, consumption, and other internal measurement tools
- Proven working experience as a data analyst or business data analyst
- Experience in Power BI Report Development
- Experience in DAX and M (Power Query Language) or experience in SQL
- Basic understanding of data modelling and connections in Power BI
- Extensive knowledge of Data Modelling in Power BI, experience working with Star & Snowflake Schemas, and comfortable working with multiple data sources