Job description

Job Description

    Contract job Position!
     

    Job Title: Data Analyst

    Work Location: Redmond, WA
     

    Job Overview of Data Analysis

    A Data Analyst plays a crucial role in transforming raw data into valuable insights that drive informed business decisions. This position involves not only working with data but also collaborating with various teams to ensure the accuracy, reliability, and clarity of the information presented. A Data Analyst helps improve processes, optimize strategies, and identify growth opportunities by leveraging data-driven insights.

    The Data Analyst is responsible for managing data systems, ensuring data quality, and supporting decision-making through insightful analysis. This role involves collecting, cleaning, and interpreting data developing automated processes, and creating meaningful reports. They will be able to translate the complex dataset into actionable insights, which are essential for strategic planning and performance improvement. Additionally, they will work across teams to align data requirements with the business needs for enhancing efficiency.

    Key roles and responsibilities of Data Analyst

    • Ensuring data quality and integrity: The Data Analyst is supposed to ensure the data accuracy, consistency, and reliability throughout its lifecycle, establishing a foundation for sound decision-making.
    • Data collection from various sources: The Data Analyst is responsible for collecting data from different sources to maintain and update databases and data systems to enhance their functioning and ability for future analysis.
    • Developing and supporting the report system: The Data Analyst is responsible for designing and maintaining a robust report process that proceeds accurate, timely, and insightful reports. They are also continuously seeking opportunities to optimize data report systems for future analysis.
    • Developing an automated data collection system: Create automated systems and scripts for data extraction from digital sources such as websites and APIs, improving the efficiency and accuracy of data collection.
    • Interpreting data for business insights: The Data Analyst is supposed to analyze the large volume of data and complex datasets to analyze and generate trends, patterns, and correlations. Statistical techniques are used to interpret, translate, and correlate the data to find actionable business insights.
    • Performing complex statistical analysis: Typically, Data analysis involves advanced statistical analysis using tools like Python, R, and SQL, to establish deeper insights into business operations.
    • Database Maintenance: Data analysts will tend to manage and maintain databases by regularly updating the system to ensure data accessibility, security, and consistency.
       

    Skills and Qualification

    • A strong understanding of statistical and software functionality such as Excel, SPSS, and SAS, with programming languages such as SQL, Python, and R.
    • Excellent knowledge of compiling, structuring, and analyzing the dataset with precision to ensure the patterns and actionable insights from data.
    • Ability to evaluate the data to develop insights that help to meet the business strategies, decisions, and needs.
    • Good communication and presentation skills are a must to simplify and convey insights to technical and non-technical stakeholders.
    • A bachelor's degree in the fields of computer science, information technology, Statistics, or a related discipline. Good practical experience in data handling and analysis is preferable.
       

    Additional Requirements

    • Report Writing: A strong ability to write detailed reports and effectively present findings to diverse audiences.
    • Time Management: Ability to work under pressure and meet tight deadlines while maintaining the quality of analysis.
    • Industry Knowledge: Familiarity with the industry or business operations is a significant advantage, allowing for more contextually relevant data analysis.