Senior Data Analyst
About The Position
Vidha IT Solutions LLC is seeking a Senior Data Analyst to support business intelligence and data science initiatives. The role partners with business stakeholders, analysts, technology teams, end users, and data science teams to understand data needs, define technical requirements, and deliver reliable analysis. The analyst collects, processes, cleans, validates, and analyzes data to support operational and organizational objectives, including business-to-business outcomes. The position works with minimal supervision, applies advanced analytical and statistical methods, and helps maintain statistical models. It also addresses complex data quality issues, supports reporting compliance through audits, and leads small projects and initiatives. This is a remote, W2-only position with an indicated duration of 08+ months.
Requirements
- 4–7 years of experience in data analysis and reporting.
- Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a similar quantitative field.
- Complete knowledge and understanding of the relevant business area or specialization.
- Proficiency with data manipulation and scripting languages such as SQL, Python, or R.
- Experience with advanced data cleaning and preprocessing techniques and tools.
- Effective skill with AI tools and techniques, data cleaning, and other analytical techniques used for data analysis.
- Advanced statistical analysis skills, including measures of central tendency, normal distribution, variance, standard deviation, basic tests, correlation, and regression.
- Advanced ability to interpret, extrapolate, and interpolate data for statistical research and modeling.
- Knowledge of data structures and ability to extract data from sources such as PySpark and PowerBI.
- Strong understanding of data governance principles and practices.
Responsibilities
- Partner with business stakeholders and other analysts to understand business data needs, capture requirements, and perform data collection, processing, and cleaning.
- Provide input to complex data science and business intelligence projects and analyze large data sets to support departmental and organizational objectives.
- Work under minimal supervision, applying an understanding of business needs and objectives to support projects that affect operational goals.
- Work with technology teams and business end users to define technical requirements, including data definitions, business rules, and data quality requirements.
- Conduct data user acceptance testing (UAT) and research data accuracy, validation, and integrity.
- Perform quality data audits and analysis to ensure compliance with deliverable reporting requirements.
- Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes.
- Analyze and resolve complex data quality issues using data profiling, cleansing, and monitoring techniques.
- Develop and implement data cleaning and validation processes, including outlier detection, imputation methods, and anomaly detection.
- Clean and organize raw data and generate descriptive statistics for business intelligence and data science projects.
- Partner with data science teams to maintain statistical models for ongoing and ad hoc review and analysis.
- Build working relationships with team members and subject matter experts.
- Lead small projects and initiatives.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
