What are the responsibilities and job description for the Data Analyst position at Smksoft?
Job Details
Role: Data Analyst
Location: Washington, DC
HYBRID: 8 Days a Month
W2 Role
Responsibilities
Work with technology organization and business end-users to understand data and analysis needs and develop technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research
Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis
Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes
Gather data from various sources, including databases, APIs, and third-party sources and ensure the upkeep of databases and data systems.
Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
Analyze and resolve complex data quality issues, utilizing advanced data profiling, cleansing, and monitoring techniques to maintain data integrity and reliability.
Develop and implement advanced data cleaning and validation processes, including outlier detection, imputation methods, and anomaly detection, to maintain data integrity and quality.
Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects.
Partner with data science teams to maintain statistical models for ongoing and ad hoc review and analysis of data.
Build working relationships with team members and subject matter experts.
Lead small projects and initiatives.
Qualifications
5-7 years of experience in data analysis and reporting.
Complete knowledge and understanding of Cloud Concepts and Cloud data management.
Proficient Skill in data manipulation and scripting languages such as SQL, Python, Pyspark, as well as advanced data cleaning and preprocessing techniques and tools.
Effective skill with ETL tools and techniques, data cleaning, and other analytical techniques required for data usage.
Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.
Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences.
Strong understanding of data governance principles and practices.
Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields.
