Senior Data Analyst — United States — LinkedIn — 4487493217

This is a Fully Remote Job

About Our Client:

The organization operates in the technology services sector, providing IT and data solutions across various industries. It addresses complex challenges by leveraging modern technology and emphasizes a collaborative, growth-oriented work environment where employees can contribute meaningfully and develop their careers.

About the Opportunity:

The SENIOR DATA ANALYST role is responsible for partnering with business stakeholders and analysts to gather data requirements and manage data collection, processing, and cleaning. This position supports departmental and organizational goals through advanced data analysis, contributing to data science and business intelligence projects. The role requires independent work and a thorough understanding of business objectives to influence operational outcomes effectively.

Responsibilities:

• Collaborate with stakeholders to understand and capture business data needs

• Collect, process, and clean data for analysis

• Support complex data science and business intelligence projects

• Analyze large data sets to support organizational objectives

• Develop technical requirements including data definitions, business rules, and data quality standards

• Conduct data validation, user acceptance testing, and data accuracy audits

• Identify and compile data sets to predict and measure business outcomes

• Resolve complex data quality issues using advanced profiling and cleansing techniques

• Implement data cleaning and validation processes such as outlier detection and anomaly detection

• Generate descriptive statistics to support business intelligence and data science initiatives

• Maintain statistical models in collaboration with data science teams

• Build relationships with team members and subject matter experts

• Lead small projects and initiatives

Requirements:

• 4-7 years of experience in data analysis and reporting

• Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or related quantitative fields

• Proficiency in data manipulation and scripting languages such as SQL, Python, or R

• Advanced skills in data cleaning, preprocessing, and analytical techniques

• Experience with AI tools and techniques relevant to data analysis

• Strong statistical analysis capabilities including central tendency, variance, correlation, and regression

• Knowledge of data structures and extraction tools such as PySpark and PowerBI

• Understanding of data governance principles and practices

• Ability to work under minimal supervision and apply business knowledge to projects

Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate's experience, skills, and other relevant factors.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

SaaHf5c3J is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.