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Data Analytics Manager | Remote (Bensalam, PA) | Fulltime

Posted 2 months agoViewed

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πŸ’Ž Seniority level: Manager, 7+ years of experience in a position monitoring, managing, manipulating and drawing insights from data, and with at least 3 years of experience leading a team

πŸ“ Location: United States

πŸ” Industry: Retail

🏒 Company: Two95 International Inc.

πŸ—£οΈ Languages: English

⏳ Experience: 7+ years of experience in a position monitoring, managing, manipulating and drawing insights from data, and with at least 3 years of experience leading a team

πŸͺ„ Skills: LeadershipSQLBusiness IntelligenceData AnalysisPeople ManagementCross-functional Team LeadershipCommunication SkillsAnalytical SkillsCollaborationMicrosoft Excel

Requirements:
  • 7+ years of experience in a position monitoring, managing, manipulating and drawing insights from data.
  • At least 3 years of experience leading a team.
  • Desired Bachelor's degree demonstrating skills in Business Intelligence, Data Analytics, Data Management, and/or quantitative methods.
  • Solid experience in data analytics and reporting; Retail industry experience is a plus.
  • Adept in working with and finding meaning in large, complex data sets.
  • Intellectual curiosity - independently identifies and pursues trends, anomalies and patterns to determine 'how things work'.
  • Balances the independent pursuit of knowledge with the need to communicate actionable findings.
  • Strong data interpretation and storytelling skills – ability to effectively convey the meaning and impact of the data in a meaningful and engaging fashion to various audiences.
  • Enthusiastic problem solver, has advanced critical and strategic thinking skills, strong attention to detail and a strong understanding of business processes and their integration with data flows and other technological processes.
  • Extensive experience with data structures, tools, technologies, and techniques; Has a passion for using data to enlighten and change the way processes work.
  • Able to work on multiple data intense projects in parallel, effectively prioritize, quickly complete multiple tasks/assignments and meet deadlines.
  • Excellent communication and interpersonal skills (written and verbal) – can quickly develop and maintain relationships across multiple internal organizational levels and with external suppliers and vendors.
  • Highly motivated, hands-on, proactive, improvement-oriented personality who is comfortable working independently and with minimal supervision.
  • Speed to Execution – Ability to hold oneself and others accountable to clear standards of service excellence.
Responsibilities:
  • Lead the process of enabling the Company to rapidly make better decisions to optimize customer satisfaction and company profitability through enhanced analytics.
  • Utilize an array of advanced analytics techniques and systems acumen to deliver near real-time business insights to facilitate timely decision making.
  • Collaborate with critical stakeholders to identify and deliver data driven solutions to operational, financial, and control business challenges while establishing the data analytics function as a strategic partner for delivering business insights.
  • Effectively communicates the meaning of the data to both data professionals and non-data professionals - verbally, written (storytelling skill) and visually (data visualization).
  • Continuously improve the operations of the data function, providing new technologies and tools, improving user satisfaction, establishing leading processes and increasing its effectiveness and efficiency.
  • Recruit, lead and develop a team of data analysts; inspire all team members and co-workers to strive for analytical excellence.
  • Participate in the selection, configuration, and implementation of data analytics solutions, including a data warehouse and data visualization tools.
  • Ensure data accuracy, consistent reporting and quality control of data and deliverables.
  • Enhance the culture by serving as a role model for an ideal co-worker and leader.
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