What are the responsibilities and job description for the Data Analyst - HYBRID position at Phaxis?
Location: Secaucus, NJ (Hybrid)
Base: 80-90K Bonus
A leading fashion company currently experiencing remarkable growth is looking for a talented Data Analyst to join their dynamic team. This position offers an exciting opportunity to contribute to the financial success of the company and growing together.
As a crucial part of the team, the Data Analyst will report to the VP of Ecommerce and Digital Marketing. This role is pivotal in establishing a robust reporting structure, providing valuable insights and business trends using cutting-edge technology and automation to benefit all facets of our operations.
Key Responsibilities:
- Collaborate closely with stakeholders to identify challenges and opportunities necessitating data-driven solutions.
- Assist Direct-to-Consumer (DTC), Amazon, and wholesale channel managers with varied analytics requests on an ad hoc, weekly, monthly, and quarterly basis.
- Construct a top-tier reporting framework, employing automation and technology to streamline reporting processes company-wide.
- Develop comprehensive reports on activations and campaigns, analyzing performance across different channels, product segments, spending brackets, and other metrics to offer insights for enhancing future initiatives.
- Design, develop, and maintain reports, dashboards, and data visualizations using advanced reporting tools and software for widespread use within the organization, ensuring accuracy, timeliness, and user-friendliness.
- Act as the custodian of tools and procedures for upkeeping data quality, maintenance, and governance to guarantee the smooth continuity and reliability of data.
- Collaborate with engineering and digital product development teams to streamline operations and identify opportunities for enhancing processes.
Basic Qualifications:
- 3-5 years of experience in business intelligence analysis spanning the entire organization.
- Bachelor's degree required.
- Ability to thrive in a dynamic, high-growth environment.
- Proficiency in data analysis and delivering impactful presentations.
- Strong background in project management is essential.
