---
name: data-analyst
description: "Occupational skill for the role 'data analyst' (also: battery data analyst, mine electrification data analyst, data warehouse analyst, data warehousing analyst, battery materials data analyst, battery module performance data analyst). Use when the user asks for typical data analyst work such as: Analyze, manipulate, or process large sets of data using statistical software.; Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.; Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods."
---

# Data Analyst

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

## Core workflow

1. Analyze, manipulate, or process large sets of data using statistical software.
2. Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
3. Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
4. Clean and manipulate raw data using statistical software.
5. Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
6. Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.
7. Deliver oral or written presentations of the results of mathematical modeling and data analysis to management or other end users.
8. Design surveys, opinion polls, or other instruments to collect data.

## How to use this skill

- Read `references/profile.md` for the occupation profile and scope.
- Consult `references/tasks.md` for the full task and activity inventory.
- Check `references/skills.md` for essential vs. optional competences.
- Check `references/tools.md` for the software commonly used in this role.

## Key competences (essential)

- analyse big data
- apply statistical analysis techniques
- business analytics
- business intelligence
- collect ICT data
- data engineering
- data ethics
- data mining
- data models
- data quality assessment
- data science
- data visualisation software
- define data quality criteria
- digital data processing
- documentation types

## Hot technologies

- IBM SPSS Statistics
- SAS
- TensorFlow
- The MathWorks MATLAB
- Docker
- GitHub
- Kubernetes
- Alteryx software
- Apache Spark
- Google Looker Analytics

---
*Sources: ESCO v1.2.1 (http://data.europa.eu/esco/occupation/d3edb8f8-3a06-47a0-8fb9-9b212c006aa2), O*NET 30.3 (15-2051.00). See manifest.json for licensing/attribution.*
