Insight Global
Data Analyst/Data Steward
We are seeking a skilled Data Analyst/Data Steward to join our data management team. This role combines analytical expertise with data governance responsibilities, focusing on maintaining high-quality data assets while delivering actionable business insights. The ideal candidate will excel at data normalization, rationalization, and visualization to transform complex data into clear, accessible information that drives decision-making across the organization. Key Responsibilities include: Data Analysis & Visualization Design and develop interactive dashboards and reports using Power BI to communicate insights effectively Transform raw data into meaningful visualizations that tell compelling data stories Apply statistical methods to identify trends, patterns, and correlations in complex datasets Conduct ad-hoc analysis to answer specific business questions and support decision-making Develop automated reporting solutions to streamline analytical processes Collaborate with stakeholders to understand business requirements and translate them into analytical solutions Data Stewardship & Quality Management Implement and maintain data normalization processes to ensure consistency across databases Lead data rationalization initiatives to eliminate redundancies and consolidate data sources Establish and enforce data quality standards, policies, and procedures Create and maintain comprehensive data dictionaries and business glossaries Monitor data quality metrics and implement improvement strategies Coordinate with cross-functional teams to resolve data discrepancies and quality issues Ensure compliance with data governance frameworks and privacy regulations Technical Implementation Write optimized SQL queries for data extraction, transformation, and analysis Develop Python scripts for data cleaning, normalization, and automated processing Design and implement data models that support both analytical and operational needs Create ETL processes to integrate data from multiple sources Document technical processes and maintain knowledge repositories Compensation: $40/hr to $55/hr Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401K retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances.
We are seeking a skilled Data Analyst/Data Steward to join our data management team. This role combines analytical expertise with data governance responsibilities, focusing on maintaining high-quality data assets while delivering actionable business insights. The ideal candidate will excel at data normalization, rationalization, and visualization to transform complex data into clear, accessible information that drives decision-making across the organization. Key Responsibilities include: Data Analysis & Visualization Design and develop interactive dashboards and reports using Power BI to communicate insights effectively Transform raw data into meaningful visualizations that tell compelling data stories Apply statistical methods to identify trends, patterns, and correlations in complex datasets Conduct ad-hoc analysis to answer specific business questions and support decision-making Develop automated reporting solutions to streamline analytical processes Collaborate with stakeholders to understand business requirements and translate them into analytical solutions Data Stewardship & Quality Management Implement and maintain data normalization processes to ensure consistency across databases Lead data rationalization initiatives to eliminate redundancies and consolidate data sources Establish and enforce data quality standards, policies, and procedures Create and maintain comprehensive data dictionaries and business glossaries Monitor data quality metrics and implement improvement strategies Coordinate with cross-functional teams to resolve data discrepancies and quality issues Ensure compliance with data governance frameworks and privacy regulations Technical Implementation Write optimized SQL queries for data extraction, transformation, and analysis Develop Python scripts for data cleaning, normalization, and automated processing Design and implement data models that support both analytical and operational needs Create ETL processes to integrate data from multiple sources Document technical processes and maintain knowledge repositories Compensation: $40/hr to $55/hr Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401K retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances.