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 team’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
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