Data Science Data Analyst
DATA3.GEN.P1
Represents the entry point into data science, focusing on collecting, cleaning, and interpreting data to support business needs.
Represents the entry point into data science, focusing on collecting, cleaning, and interpreting data to support business needs.
The story of this role
As a Data Science Data Analyst, you transform raw data into actionable insights that drive business decisions.
Who does this work
You, the Data Science Data Analyst, are tasked with understanding complex data landscapes.
The problem this role solves
- The external problem: Your team struggles to make data-driven decisions due to unclean or poorly structured data.
- The internal problem: You feel overwhelmed by the vast amount of data and unsure where to start in the analysis process.
- Why it matters: Every business deserves to leverage its data effectively to make informed choices.
What the role brings
We provide tools, resources, and support to help you effectively collect, clean, and interpret data.
The plan
- 1. Identify business needs by collaborating with stakeholders.
- 2. Collect relevant data from various sources.
- 3. Clean and structure the data to ensure accuracy.
- 4. Analyze the data to uncover trends and insights.
- 5. Present actionable findings and recommendations to your team.
The call to action
Start utilizing best practices in data analysis today to enhance the quality of your insights.
What's at stake
Failing to effectively analyze data can lead to missed opportunities and poor decision-making for your organization.
Success looks like
You gain confidence in your analytical skills, leading to clear, data-driven recommendations that support business goals.
Summary
Represents the entry point into data science, focusing on collecting, cleaning, and interpreting data to support business needs.
Level — P1 — Entry-Level Professional
New to role or field; performs basic tasks under supervision
- Scope
- Own tasks within a defined component
- Autonomy
- Close supervision; work reviewed frequently
- Complexity
- Routine problems with known solutions
- Impact
- Own deliverables
- Decision rights
- Few independent decisions; escalates the rest
- Leadership
- None — building the craft
- Typical experience
- 0–2 yrs
Core outputs
No core outputs recorded yet.
Adjacent roles
Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work → · Compare side-by-side →
Componentsshow ▾
Responsibilities8
- Writing queries to pull datacommonlevel
- Using tools to generate reports and simple visualizationscommonlevel
- Summarizing trends or findings from datasetscommonlevel
- Assisting in data cleaning and preparationcommonlevel
- Collaborating with teams to understand data needscommonlevel
- Supporting data-driven decision-makingcommonlevel
- Documenting data processes and findingscommonlevel
- Ensuring data accuracy and integritycommonlevel
Tasks3
- Pull and analyze data setscommonlevel
- Create visual reportscommonlevel
- Summarize data trendscommonlevel
Skills8
- SQL queryingcommonlevel
- Data visualizationcommonlevel
- Spreadsheet proficiencycommonlevel
- Basic programming (Python/R)commonlevel
- Data cleaningcommonlevel
- Report generationcommonlevel
- Trend analysiscommonlevel
- Data interpretationcommonlevel
Knowledge8
- Statisticscommonlevel
- Data querying techniquescommonlevel
- Database managementcommonlevel
- Data visualization toolscommonlevel
- Business intelligencecommonlevel
- Data integrity principlescommonlevel
- Basic programming conceptscommonlevel
- Data-driven decision-makingcommonlevel
competency8
- Strong foundation in statistics and data queryingcommonlevel
- Proficiency with databases (SQL) and spreadsheet toolscommonlevel
- Attention to detailcommonlevel
- Analytical thinkingcommonlevel
- Basic data visualization skillscommonlevel
- Effective communicationcommonlevel
- Problem-solvingcommonlevel
- Time managementcommonlevel
qualification4
- Ability to create clear data visualizationscommonlevel
- Communication skillscommonlevel
- Bachelor's degree in a related fieldcommonlevel
- Experience with SQL and data toolscommonlevel
Title aliasesshow ▾
| Alias | Type | Confidence | Approved |
|---|---|---|---|
| Data Science I | common | medium0.70 | ✓ |
| Data Science 1 | common | medium0.66 | ✓ |
| Entry-Level Data Science | common | medium0.70 | ✓ |
| Junior Data Science | common | medium0.68 | ✓ |
| Data Science Data Analyst | common | medium0.60 | ✓ |
| Entry to Intermediate Level | common | medium0.50 | ✓ |
| Associate Data Science | common | medium0.60 | ✓ |
Classification mappingsshow ▾
O*NET / SOC
- code=15-2051.00title=Data Scientistssource=corpusreviewStatus=approved