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Administrative & Secretarial data entry (keying / cleaning)

Data Analyst

$5/hr Starting at $25

 Data Collection and Cleaning

- **Data Gathering:** Collecting data from various sources such as databases, APIs, and external datasets.

- **Data Cleaning:** Identifying and correcting errors or inconsistencies in data to ensure accuracy and reliability.


Data Analysis

- **Descriptive Analysis:** Summarizing and describing the main features of a dataset to provide insights into current trends.

- **Exploratory Data Analysis (EDA):** Investigating data sets to discover patterns, anomalies, and relationships within the data.


Data Visualization

- **Visualization Creation:** Designing and creating charts, graphs, and dashboards to visually represent data findings.

- **Reporting:** Generating detailed reports with visual aids to convey data insights effectively to stakeholders.


Statistical Analysis

- **Hypothesis Testing:** Conducting tests to validate assumptions and hypotheses using statistical methods.

- **Regression Analysis:** Understanding relationships between variables and predicting future trends.


Predictive Modeling

- **Model Building:** Developing predictive models using machine learning algorithms to forecast future outcomes.

- **Model Validation:** Testing and validating models to ensure accuracy and reliability.


Business Intelligence

- **KPI Development:** Identifying and tracking key performance indicators (KPIs) to measure business performance.

- **Decision Support:** Providing actionable insights to support business decision-making processes.


 Data Management

- **Database Management:** Organizing and managing databases to ensure efficient data storage and retrieval.

- **Data Governance:** Implementing policies and procedures to ensure data integrity, security, and compliance.


Automation

- **Process Automation:** Automating repetitive data tasks to improve efficiency and reduce manual effort.

- **Scripting:** Writing scripts to streamline data collection, analysis, and reporting processes.


Consultation and Training

- **Consultation:** Offering expert advice on data-related issues and best practices.

- **Training:** Providing training sessions for teams to improve their data analysis skills and understanding

About

$5/hr Ongoing

Download Resume

 Data Collection and Cleaning

- **Data Gathering:** Collecting data from various sources such as databases, APIs, and external datasets.

- **Data Cleaning:** Identifying and correcting errors or inconsistencies in data to ensure accuracy and reliability.


Data Analysis

- **Descriptive Analysis:** Summarizing and describing the main features of a dataset to provide insights into current trends.

- **Exploratory Data Analysis (EDA):** Investigating data sets to discover patterns, anomalies, and relationships within the data.


Data Visualization

- **Visualization Creation:** Designing and creating charts, graphs, and dashboards to visually represent data findings.

- **Reporting:** Generating detailed reports with visual aids to convey data insights effectively to stakeholders.


Statistical Analysis

- **Hypothesis Testing:** Conducting tests to validate assumptions and hypotheses using statistical methods.

- **Regression Analysis:** Understanding relationships between variables and predicting future trends.


Predictive Modeling

- **Model Building:** Developing predictive models using machine learning algorithms to forecast future outcomes.

- **Model Validation:** Testing and validating models to ensure accuracy and reliability.


Business Intelligence

- **KPI Development:** Identifying and tracking key performance indicators (KPIs) to measure business performance.

- **Decision Support:** Providing actionable insights to support business decision-making processes.


 Data Management

- **Database Management:** Organizing and managing databases to ensure efficient data storage and retrieval.

- **Data Governance:** Implementing policies and procedures to ensure data integrity, security, and compliance.


Automation

- **Process Automation:** Automating repetitive data tasks to improve efficiency and reduce manual effort.

- **Scripting:** Writing scripts to streamline data collection, analysis, and reporting processes.


Consultation and Training

- **Consultation:** Offering expert advice on data-related issues and best practices.

- **Training:** Providing training sessions for teams to improve their data analysis skills and understanding

Skills & Expertise

Copy and PasteData AuditData CollectionData EntryOrder EntryOrder Processing

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