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IT Data Analyst/Project Manager - Remote
- Houston, Texas, United States
- Houston, Texas, United States
About
KEY 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 Marketingorganization
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
CORE COMPETENCIES:
Customer Focus:
Builds strong customer relationships and delivers customer-centric solutions.
Drives Results:
Persists in accomplishing objectives, even under tough circumstances. Has a track record of successfully achieving priorities.
Builds Trust:
Gains the confidence and trust of others through honesty, integrity and authenticity.
Self-Development:
Actively seeks new ways to grow and be challenged using both formal and informal development channels.
QUALIFICATIONS:
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
Allied Global Marketing is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or any other status protected under federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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Languages
- English
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