IT Data Analyst/Project Manager - Remote

Summary

Allied Global Marketing is seeking a self-starting IT Data Analyst/Project Manager to solve business problems through data-driven tools and insights. The role owns Store Operations data governance, develops reports and visualizations, performs advanced statistical analysis, and provides actionable recommendations to improve business performance while supporting other analysts.

Responsibilities

• Own the truth in Store Operations data through governance and process including the acquisition, management, automation, and integrity of all data
• Champion the data needs and priorities of the HQ Store Operations team, coordinating with key business/data/tech partners across the Allied Global Marketing organization
• Collaborate with team members and business partners to deliver high quality solutions and recommendations to a variety of problems
• Provide support on data design requirements and delivery for all Store Operations programs and initiatives
• Dive deep into complex business problems and provide insights on performance through hypothesis testing and monitoring trends in key metrics
• Develop and manage the environment of reports and analysis delivering a simple and organized user access and experience
• Support the development of interactive data visualizations, reports and effective analysis
• Support the analysis and diagnosis around business performance and provide expert guidance to improve results
• Use advanced analytical and statistical practices to create thorough and actionable insights
• Maintain and improve a suite of analytical tools used to drive positive business outcomes
• Own the truth in Store Operations data through governance and process including the acquisition, management, automation, and integrity of all data
• Excel at compelling story telling with data, providing clear insights that bring facts to support business hypothesis and anecdotes
• Influence leadership and program management through fact-based recommendation using data analysis
• Support and influence the professional development of other data and business analysts

Skills

• 3-5 years of professional experience analyzing complex data, drawing conclusions, and making recommendations
• 3-5 years of experience in development, manipulation, and management of large data sets from various relational databases using SQL
• 3-5 years of applied data experience with graphics/visualization software (e.g., Power BI, Tableau, etc.)
• Bachelors degree (Masters preferred) in Computer Science, Math, Engineering, Science, Business, or a related field with documented coursework in statistics or business analytics
• Experience with statistical and machine learning algorithms (e.g., regression, classification and/or clustering)
• Strong coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data
• Expert knowledge of Query languages (e.g., SQL, U-SQL, etc.)
• Ability to be flexible and work in a fast-paced and dynamic organization
• Clear and effective written and verbal communication for individuals at all levels of analytical expertise
• Clear and effective written and verbal communication and strong interpersonal skills
• High degree of working knowledge of Microsoft Office Suite
• Solid organizational skills including attention to detail and multitasking skills
• Strong leadership and management skills
• The ability to find innovative ways to resolve problems
• Retail industry experience a plus

Qualifications

Must Haves

• 3-5 years of professional experience analyzing complex data, drawing conclusions, and making recommendations
• 3-5 years of experience in development, manipulation, and management of large data sets from various relational databases using SQL
• 3-5 years of applied data experience with graphics/visualization software (e.g., Power BI, Tableau, etc.)
• Bachelors degree (Masters preferred) in Computer Science, Math, Engineering, Science, Business, or a related field with documented coursework in statistics or business analytics
• Experience with statistical and machine learning algorithms (e.g., regression, classification and/or clustering)
• Strong coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data
• Expert knowledge of Query languages (e.g., SQL, U-SQL, etc.)
• Ability to be flexible and work in a fast-paced and dynamic organization
• Clear and effective written and verbal communication for individuals at all levels of analytical expertise
• Clear and effective written and verbal communication and strong interpersonal skills
• High degree of working knowledge of Microsoft Office Suite
• Solid organizational skills including attention to detail and multitasking skills
• Strong leadership and management skills
• The ability to find innovative ways to resolve problems

Nice to Haves

• Retail industry experience a plus

Benefits

• Remote work arrangement
• Equal employment opportunity