# Data Analyst

progression levels

in 2022

#### Looking for Data Analyst progression levels? This is an ultimate list of progression levels for Data Analyst.

# Individual Contributor (IC) career path for Data Analyst

## Intern Data Analyst

Has less than 1 year of experience. Learning basic of design.

### Skills needed for Intern Data Analyst

- Learns Network architecture
- Learns Regularization
- Learns Convolution/Poolings
- Learns Learning rate
- Learns Activation types
- Learns Language processing
- Learns Hierarchical
- Learns Document categorization
- Learns ANOVA test
- Learns Transfer learning
- Learns Libraries
- Learns Go
- Learns Spark cluster
- Learns Scrum
- Learns Deep web
- Learns Discriminator/Generator
- Learns Reinforcement learning
- Learns RNN / LSTM / GRU
- Learns Convolutional networks
- Learns Cosine/Euclidean distances
- Learns T-statistic
- Learns Bayesian statistics
- Learns Analysis
- Learns Cross-validation
- Learns Data normalization methods
- Learns Drawing a sample for deep learning
- Learns Models creation
- Learns Markdown
- Learns Build quickly and iterate principles
- Learns Bottom-up/Top-down approaches
- Learns Scrumban
- Learns Algorithms
- Learns Filters/Padding/Stride
- Learns Generating features from text
- Learns P-value and acceptable values
- Learns Calculation of mean/median/mode/variance/coefficient. variations
- Learns Writing a presentation
- Learns Python
- Learns TDD
- Learns Recurrent networks
- Learns Metrics
- Learns Decomposition
- Learns Generic Adversarial Networks
- Learns Gradient descent
- Learns The matrix
- Learns Time series
- Learns Models based on users and products
- Learns Collaborative filtering
- Learns Recommender systems
- Learns K-means
- Learns Dbscan
- Learns PCA/t-SNE
- Learns Probability theory
- Learns Coef. Pearson, Spearman correlations
- Learns Hadoop
- Learns Development process
- Learns Completing tasks
- Learns Teamwork
- Learns Kanban
- Learns Fault tolerance. The maximum number of requests to process (rps)

## Junior Data Analyst

Has approximately 1-2 years experience and basic design foundations. Contribute ideas during team meetings

### Skills needed for Junior Data Analyst

- Knows Models based on users and products
- Knows Hierarchical
- Knows Collaborative filtering
- Knows Generating features from text
- Knows Document categorization
- Knows K-means
- Knows Language processing
- Knows Cosine/Euclidean distances
- Knows Recommender systems
- Knows Dbscan
- Knows Algorithms
- Knows Network architecture
- Knows Generic Adversarial Networks
- Knows Discriminator/Generator
- Knows Convolution/Poolings
- Knows RNN / LSTM / GRU
- Learns ANOVA test
- Learns Coef. Pearson, Spearman correlations
- Learns Build quickly and iterate principles
- Knows Transfer learning
- Knows Analysis
- Learns Development process
- Learns Teamwork
- Learns SQL
- Learns Line plots
- Knows Decomposition
- Knows Reinforcement learning
- Knows Time series
- Learns P-value and acceptable values
- Learns Probability theory
- Knows Data normalization methods
- Knows Drawing a sample for deep learning
- Knows Models creation
- Knows Go
- Learns Completing tasks
- Learns Countplot
- Learns Heatmaps
- Learns Bar plot
- Learns Scatter plots
- Knows PCA/t-SNE
- Knows Recurrent networks
- Knows Filters/Padding/Stride
- Knows The matrix
- Knows Activation types
- Learns T-statistic
- Learns Bayesian statistics
- Learns Calculation of mean/median/mode/variance/coefficient. variations
- Learns Markdown
- Learns Writing a presentation
- Knows Hadoop
- Knows Python
- Learns Fault tolerance. The maximum number of requests to process (rps)
- Learns Histogram
- Knows Deep web
- Knows Metrics
- Knows Regularization
- Knows Gradient descent
- Knows Learning rate
- Knows Convolutional networks
- Learns Bottom-up/Top-down approaches
- Knows Cross-validation
- Knows Spark cluster
- Knows Libraries
- Learns Scrum
- Learns TDD
- Learns Scrumban
- Learns Kanban
- Learns Boxplot

## Middle Data Analyst

Has more than 2 years of experience in design. They need less supervision and minimal reworks.<br/><br/>

### Skills needed for Middle Data Analyst

- Knows Models based on users and products
- Knows Language processing
- Knows Hierarchical
- Knows PCA/t-SNE
- Learns Data normalization methods
- Does Decomposition
- Does Regularization
- Does Filters/Padding/Stride
- Does Time series
- Does Learning rate
- Does Scrum
- Does Teamwork
- Does TDD
- Learns Bottom-up/Top-down approaches
- Knows Python
- Knows Hadoop
- Learns Histogram
- Knows Calculation of mean/median/mode/variance/coefficient. variations
- Knows Coef. Pearson, Spearman correlations
- Learns Analysis
- Learns Drawing a sample for deep learning
- Learns Models creation
- Does Algorithms
- Does Recurrent networks
- Does Network architecture
- Does Discriminator/Generator
- Does Reinforcement learning
- Does The matrix
- Does Convolution/Poolings
- Does Scrumban
- Does Kanban
- Does Fault tolerance. The maximum number of requests to process (rps)
- Learns Writing a presentation
- Knows Libraries
- Knows Spark cluster
- Learns Heatmaps
- Learns Line plots
- Knows Collaborative filtering
- Knows Cosine/Euclidean distances
- Knows P-value and acceptable values
- Knows T-statistic
- Knows Bayesian statistics
- Knows ANOVA test
- Learns Cross-validation
- Does Deep web
- Does Gradient descent
- Does Convolutional networks
- Learns Build quickly and iterate principles
- Learns Scatter plots
- Knows Recommender systems
- Knows K-means
- Knows Dbscan
- Knows Generating features from text
- Knows Document categorization
- Knows Probability theory
- Learns Transfer learning
- Does Metrics
- Does Generic Adversarial Networks
- Does RNN / LSTM / GRU
- Does Activation types
- Does Development process
- Does Completing tasks
- Learns Markdown
- Knows Go
- Learns SQL
- Learns Countplot
- Learns Boxplot
- Learns Bar plot

## Senior Data Analyst

Create expert designs, take complex projects and mentor junior designers. They have 5-8 years of experience

### Skills needed for Senior Data Analyst

- Does K-means
- Does Language processing
- Does Document categorization
- Does PCA/t-SNE
- Does T-statistic
- Does ANOVA test
- Helps Scrum
- Helps Teamwork
- Does Metrics
- Does Network architecture
- Does Regularization
- Learns Build quickly and iterate principles
- Learns Writing a presentation
- Knows Hadoop
- Knows SQL
- Knows Histogram
- Does Drawing a sample for deep learning
- Does Models creation
- Does Recommender systems
- Does Hierarchical
- Does P-value and acceptable values
- Does Coef. Pearson, Spearman correlations
- Helps Scrumban
- Does Deep web
- Does Recurrent networks
- Does Decomposition
- Does Reinforcement learning
- Does Convolutional networks
- Learns Markdown
- Learns Bottom-up/Top-down approaches
- Knows Heatmaps
- Does Analysis
- Does Models based on users and products
- Does Collaborative filtering
- Does Cosine/Euclidean distances
- Does Dbscan
- Does Generating features from text
- Does Calculation of mean/median/mode/variance/coefficient. variations
- Does Probability theory
- Helps Development process
- Helps Kanban
- Helps Libraries
- Helps Python
- Helps Go
- Does Algorithms
- Does Discriminator/Generator
- Does Filters/Padding/Stride
- Does Gradient descent
- Does The matrix
- Does Convolution/Poolings
- Does RNN / LSTM / GRU
- Does Learning rate
- Knows Spark cluster
- Does Transfer learning
- Does Cross-validation
- Does Data normalization methods
- Does Bayesian statistics
- Helps Completing tasks
- Helps TDD
- Helps Fault tolerance. The maximum number of requests to process (rps)
- Does Generic Adversarial Networks
- Does Time series
- Does Activation types
- Knows Line plots
- Knows Bar plot
- Knows Countplot
- Knows Boxplot
- Knows Scatter plots

# Manager career path for Data Analyst

## Design Manager / Design Lead Data Analyst

Has more than 7 years of experience. Rather than design, they take on the managerial responsibilities and DesignOps

### Skills needed for Design Manager / Design Lead Data Analyst

- Does Decomposition
- Does Generic Adversarial Networks
- Does The matrix
- Does Time series
- Does Learning rate
- Helps Hierarchical
- Helps PCA/t-SNE
- Does Bayesian statistics
- Does Data normalization methods
- Helps Writing a presentation
- Does Completing tasks
- Does Teamwork
- Does Deep web
- Does Recurrent networks
- Does Discriminator/Generator
- Does Gradient descent
- Does Convolutional networks
- Helps K-means
- Does P-value and acceptable values
- Does Calculation of mean/median/mode/variance/coefficient. variations
- Does ANOVA test
- Does SQL
- Does Countplot
- Does Histogram
- Does Analysis
- Does Drawing a sample for deep learning
- Does Models creation
- Helps Bottom-up/Top-down approaches
- Helps Go
- Does Regularization
- Does Reinforcement learning
- Does Convolution/Poolings
- Does RNN / LSTM / GRU
- Does Activation types
- Helps Models based on users and products
- Does Algorithms
- Does Metrics
- Does Network architecture
- Does Filters/Padding/Stride
- Helps Language processing
- Helps Cosine/Euclidean distances
- Helps Dbscan
- Helps Document categorization
- Does Heatmaps
- Does Line plots
- Does Transfer learning
- Helps Build quickly and iterate principles
- Helps Libraries
- Helps Python
- Does Hadoop
- Does Spark cluster
- Does TDD
- Does Kanban
- Helps Collaborative filtering
- Helps Recommender systems
- Helps Generating features from text
- Does T-statistic
- Does Probability theory
- Does Coef. Pearson, Spearman correlations
- Does Boxplot
- Does Bar plot
- Does Scatter plots
- Does Cross-validation
- Helps Markdown
- Does Development process
- Does Scrum
- Does Scrumban
- Does Fault tolerance. The maximum number of requests to process (rps)

## Art Director Data Analyst

Manages a larger team. Design leads report to the Art Director on teamâ€™s progress, setbacks, and other<br/>

### Skills needed for Art Director Data Analyst

- Helps T-statistic
- Does Countplot
- Does Heatmaps
- Does Line plots
- Mentors Collaborative filtering
- Mentors Document categorization
- Does Analysis
- Does Cross-validation
- Helps Writing a presentation
- Helps Deep web
- Helps Recurrent networks
- Helps Network architecture
- Helps Generic Adversarial Networks
- Helps The matrix
- Helps Time series
- Helps Learning rate
- Helps Activation types
- Helps P-value and acceptable values
- Helps Calculation of mean/median/mode/variance/coefficient. variations
- Helps Coef. Pearson, Spearman correlations
- Does Histogram
- Mentors Dbscan
- Mentors Hierarchical
- Does Drawing a sample for deep learning
- Does Models creation
- Helps Libraries
- Helps Markdown
- Helps Build quickly and iterate principles
- Helps Hadoop
- Does Scrum
- Does Teamwork
- Does TDD
- Does Fault tolerance. The maximum number of requests to process (rps)
- Helps Algorithms
- Helps Filters/Padding/Stride
- Helps Reinforcement learning
- Helps RNN / LSTM / GRU
- Helps Bayesian statistics
- Does SQL
- Does Scatter plots
- Mentors K-means
- Mentors Generating features from text
- Does Transfer learning
- Does Data normalization methods
- Does Development process
- Does Completing tasks
- Does Scrumban
- Does Kanban
- Helps Metrics
- Helps Discriminator/Generator
- Helps Gradient descent
- Helps Convolution/Poolings
- Helps Convolutional networks
- Helps ANOVA test
- Helps Probability theory
- Does Boxplot
- Does Bar plot
- Mentors Models based on users and products
- Mentors Recommender systems
- Mentors Language processing
- Mentors Cosine/Euclidean distances
- Mentors PCA/t-SNE
- Helps Python
- Helps Go
- Helps Bottom-up/Top-down approaches
- Helps Spark cluster
- Helps Decomposition
- Helps Regularization

## Design Director Data Analyst

Has 10+ years of experience and 5+ years of leading a team. Design director contributes to the R&D and product design strategy

### Skills needed for Design Director Data Analyst

- Helps Calculation of mean/median/mode/variance/coefficient. variations
- Mentors Cosine/Euclidean distances
- Mentors Dbscan
- Helps Libraries
- Helps Cross-validation
- Helps Models creation
- Helps Bottom-up/Top-down approaches
- Helps Development process
- Helps Scrum
- Does Scatter plots
- Helps ANOVA test
- Mentors Models based on users and products
- Mentors K-means
- Helps Analysis
- Helps Data normalization methods
- Helps Markdown
- Helps Writing a presentation
- Mentors Spark cluster
- Does Heatmaps
- Does Line plots
- Does Bar plot
- Helps P-value and acceptable values
- Helps T-statistic
- Helps Bayesian statistics
- Mentors Recommender systems
- Mentors Language processing
- Mentors Hierarchical
- Mentors PCA/t-SNE
- Does SQL
- Does Countplot
- Does Boxplot
- Does Histogram
- Helps Probability theory
- Helps Coef. Pearson, Spearman correlations
- Mentors Collaborative filtering
- Mentors Generating features from text
- Mentors Document categorization
- Helps Python
- Helps Go
- Helps Transfer learning
- Helps Drawing a sample for deep learning
- Helps Build quickly and iterate principles
- Mentors Hadoop
- Helps Scrumban
- Helps Completing tasks
- Helps Teamwork
- Helps TDD
- Helps Kanban
- Helps Algorithms
- Helps Recurrent networks
- Helps Metrics
- Helps Reinforcement learning
- Helps Gradient descent
- Helps Learning rate
- Helps Convolutional networks
- Helps Deep web
- Helps Regularization
- Helps Filters/Padding/Stride
- Helps RNN / LSTM / GRU
- Helps Fault tolerance. The maximum number of requests to process (rps)
- Helps Network architecture
- Helps Decomposition
- Helps Convolution/Poolings
- Helps Activation types
- Helps Generic Adversarial Networks
- Helps Discriminator/Generator
- Helps The matrix
- Helps Time series

## VP of Design Data Analyst

Has 10+ years of experience and 5+ years of leading a team. Design director contributes to the R&D and product design strategy

### Skills needed for VP of Design Data Analyst

- Helps SQL
- Helps Heatmaps
- Helps Boxplot
- Helps T-statistic
- Helps Calculation of mean/median/mode/variance/coefficient. variations
- Mentors Hadoop
- Mentors Models creation
- Helps Histogram
- Helps Bar plot
- Helps ANOVA test
- Mentors Dbscan
- Mentors Generating features from text
- Mentors Data normalization methods
- Mentors Drawing a sample for deep learning
- Helps Deep web
- Helps Regularization
- Helps Filters/Padding/Stride
- Helps Gradient descent
- Helps The matrix
- Helps Python
- Helps Go
- Helps Markdown
- Helps Build quickly and iterate principles
- Helps Writing a presentation
- Helps Bottom-up/Top-down approaches
- Helps Completing tasks
- Helps TDD
- Helps Scrumban
- Helps Kanban
- Mentors Recommender systems
- Mentors K-means
- Mentors Hierarchical
- Mentors Document categorization
- Mentors PCA/t-SNE
- Helps Decomposition
- Helps Reinforcement learning
- Helps Time series
- Helps Activation types
- Helps Convolutional networks
- Helps Scatter plots
- Helps Probability theory
- Helps Coef. Pearson, Spearman correlations
- Mentors Transfer learning
- Mentors Analysis
- Mentors Cross-validation
- Helps Libraries
- Helps Development process
- Helps Scrum
- Helps Fault tolerance. The maximum number of requests to process (rps)
- Mentors Collaborative filtering
- Mentors Language processing
- Helps Algorithms
- Helps Recurrent networks
- Helps Network architecture
- Helps Generic Adversarial Networks
- Helps Convolution/Poolings
- Helps Learning rate
- Helps Countplot
- Helps Line plots
- Helps P-value and acceptable values
- Helps Bayesian statistics
- Mentors Spark cluster
- Helps Teamwork
- Mentors Models based on users and products
- Mentors Cosine/Euclidean distances
- Helps Metrics
- Helps Discriminator/Generator
- Helps RNN / LSTM / GRU

Individual Contributor (IC)

Intern Data Analyst

Junior Data Analyst

Middle Data Analyst

Senior Data Analyst

Manager

Design Manager / Design Lead Data Analyst

Art Director Data Analyst

Design Director Data Analyst

VP of Design Data Analyst