Sr. Data Analyst ) Data Entry , Careers @Jobspromotor

Overview

Sr. Data Analyst position with Target Data Entry Remote Jobs, Target Careers. Hiring Organization:
Target.

Location:

Minneapolis, MN (remote work options may apply).

• Transform information into data, data into knowledge, and insights into business choices.
• Support decisions such as item highlight prioritization, information methodology, use case influence evaluation, and potential A/B test rollout decisions.
• Use storytelling and analytical communication to inform business leaders with data, experiences, testing, and estimation plans.
• Develop and maintain reporting, dashboards, and analysis capabilities; monitor and improve data quality and visitor information quality.
• Identify, examine, and interpret patterns in complex data sets to illuminate business metrics and guides.
• Create and automate reports and dashboards that illuminate and influence business strategy.
• Share information and insights with partners and enable self-service tools to empower faster, better decisions.
• Clarify how we measure a business area from data collection to the use of insights from reports and analyses.
• Work with stakeholders to define data definitions, data quality standards, and exception rules; ensure data is categorized appropriately (PII and other relevant boundaries).
• Participate in information and analytical capabilities, including ideation and planning.
• Interpret data, communicate results, and provide ongoing reporting and dashboards to monitor data health and product OKRs.
• Identify new opportunities for data process improvement and optimization.
• Understand end-to-end data streams across delivery, deployment, and change management; collaborate with the data administration team to ensure compliance with standards.
• Anticipate issues and take steps to resolve them quickly.

• Four-year degree in a technical/analytical field or equivalent experience.
• 4+ years of experience in analytics and reporting in Digital or Retail contexts.
• Proficiency with multiple analytics tools (e.g., SQL, Excel, R, Hadoop/Hive, DOMO) or equivalent technologies with a strong ability to learn new tools.
• Experience with statistical methods, predictive modeling, A/B and multivariate testing, and statistical standards.
• Ability to manage and address multiple complex needs while aligning with Target’s objectives and stakeholder groups.
• Excellent communication skills with the ability to bridge business and technical teams and facilitate productive discussions.
• Comfort with ambiguity and a problem-solving mindset.
• Experience working in an agile environment is preferred.
• Willingness to work with Visitor Analytics and handle large datasets spanning multiple business areas.