What are the responsibilities and job description for the Data Analyst position at ServiceMASTER Clean?
- Bonus based on performance
- Competitive salary
- Dental insurance
- Flexible schedule
- Health insurance
- Home office stipend
- Opportunity for advancement
- Paid time off
- Parental leave
- Savings bank
- Signing bonus
- Training & development
- Tuition assistance
- Vision insurance
- Wellness resources
### 1. Data Acquisition
Data acquisition involves the systematic collection of information from various sources to create a comprehensive dataset. This can be achieved through multiple methods, including:
- **Surveys**: Designing and distributing questionnaires to gather qualitative and quantitative data from targeted populations.
- **Software Tools**: Utilizing specialized software applications that can automatically collect data from online platforms, databases, or APIs.
- **Instruments**: Employing physical devices or sensors to gather real-time data, such as IoT devices for environmental monitoring or medical instruments for health data collection.
- **Web Scraping**: Extracting data from websites using automated scripts to gather information that is publicly available.
- **Third-party Data Providers**: Purchasing or accessing datasets from external vendors that offer curated data relevant to specific industries or research areas.
### 2. Data Sanitization
Data sanitization is a critical step in ensuring the integrity and reliability of the dataset. This process includes:
- **Identifying Inaccuracies**: Detecting errors in the data, such as incorrect entries, typos, or outliers that may skew analysis.
- **Removing Duplicates**: Implementing algorithms to find and eliminate duplicate records that can lead to misleading results.
- **Correcting Anomalies**: Investigating and rectifying any unusual data points that do not conform to expected patterns or distributions.
- **Standardization**: Ensuring consistency in data formats, units of measurement, and naming conventions to facilitate easier analysis.
- **Validation**: Cross-referencing data against trusted sources to confirm its accuracy and reliability.
### 3. Data Structuring
Data structuring involves organizing the cleaned data into a coherent format that supports efficient analysis. Key activities include:
- **Database Design**: Creating a logical structure for databases, including tables, relationships, and indexing to optimize data retrieval.
- **Data Modeling**: Developing conceptual, logical, and physical models to represent the data and its relationships clearly.
- **Schema Definition**: Establishing rules and constraints for data entry, including data types, field lengths, and mandatory fields.
- **Retention Policies**: Determining which data should be retained for future analysis and which can be archived or deleted based on relevance and compliance requirements.
This is a remote position.
Compensation: $20.00 - $28.00 per hour
Built on a foundation of great brands and employees with a passion for service, our vision is to be the leading provider of essential services through empowered people, world-class customer service and convenient access. By joining ServiceMaster, you'll be part of a talented network of employees with a shared vision.
Our environment is a diverse community where successful people work together to achieve common goals.
This franchise is independently owned and operated by a ServiceMaster Clean® franchisee. Your application will go directly to the franchisee, and all hiring decisions will be made by the management of this franchisee. All inquiries about employment at this location should be made directly to the franchisee, and not to The ServiceMaster Company, LLC.
Salary : $20 - $28
