Italic is creating a world of luxury without labels. We believe that luxury today is exclusionary and all about marketing that hurts its customers and manufacturers. Our mission is to create a new model that enables manufacturers to bypass the legacy luxury supply chain and deliver luxury goods with equivalent or better quality directly to consumers. Our customers come to rely on Italic for our quality, timeless design, and radical value.
Italic is seeking a seasoned Freelance Data Analyst to join our dynamic team. This role is ideal for an individual with a profound understanding of data analysis and its application in the e-commerce sector. The successful candidate will be instrumental in analyzing various metrics including Cost Per Acquisition (CPA), Lifetime Value (LTV), and cohort analysis, to drive strategic decisions and foster business growth.
Data Analysis and Reporting
Conduct thorough data analysis focusing on key performance indicators such as CPA, LTV, and other relevant e-commerce metrics.
Develop and maintain regular reports and dashboards to track business performance, highlighting trends, anomalies, and areas of improvement.
Collaborate with cross-functional teams to ensure data accuracy and consistency across the organization.
Strategic Insights and Recommendations
Translate complex data sets into actionable insights to inform business strategies.
Provide recommendations on marketing strategies, customer segmentation, and product development based on data-driven insights.
Analyze customer behavior and trends to enhance customer experience and engagement on the platform.
Project Management and Collaboration
Lead data-related projects, ensuring timely delivery and high-quality outcomes.
Work closely with the marketing, sales, and product teams to align data analysis with business objectives.
Facilitate knowledge sharing sessions to enhance data literacy across the organization.
Proven experience (5+ years preferred) in data analysis, specifically in e-commerce or related fields.
Proficiency in data analysis tools and software (e.g., SQL, Python, R).
Strong experience in statistical analysis, predictive modeling, and data visualization techniques.
Familiarity with e-commerce platforms and understanding of digital marketing metrics.
Exceptional analytical and problem-solving skills.
Strong communication skills, capable of explaining complex data concepts in simple terms.
Ability to work independently and manage multiple projects simultaneously.
A proactive and innovative mindset, constantly seeking new ways to leverage data for business growth.
Strong attention to detail and commitment to accuracy.
An eagerness to collaborate with a team and contribute to a positive work environment.
As a Freelance Data Analyst at Italic, you will play a crucial role in shaping the future of our e-commerce business. Your expertise in data analysis will not only drive strategic decisions but also contribute significantly to our mission of delivering an exceptional online shopping experience. If you are passionate about data and eager to make a tangible impact in a dynamic e-commerce environment, we would love to hear from you.
Great Brands Start With Great People
Our culture focuses on performance, integrity, and longevity. We believe that the best brands are not grown through sheer force but rather through deliberate decision-making and persistent effort over a long period of time. We are committed to creating a workplace where talented individuals can thrive in building an enduring, beloved brand that we all take pride in.
Inputs Over Outputs
We value the effort and work that goes into achieving results rather than just the end result. We believe that investing in our people and processes will lead to better outcomes while also creating a more sustainable and enjoyable environment.
Our company has a flat hierarchy and values the input and ideas of all team members. We believe that everyone has the potential to make a significant contribution to the success of the company.
Small Team, Big Opportunities
As a small team, all employees are expected to take ownership in their work. Some might move faster while others are fine with a slower pace. Those who seek to move faster in their career will be able to do so based solely on merit, contribution, and performance.
Originally posted on Himalayas
Data Analysis, Data Analyst, Data Science