Full-Time
Strategic and Operational Data Analytics Manager
Confirmed live in the last 24 hours
Dolls Kill
201-500 employees
Online boutique for edgy fashion items
Consumer Goods
Senior
Oakland, CA, USA
Position requires onsite presence in Oakland, CA.
Category
Data Management
Data Analysis
Data & Analytics
Required Skills
Power BI
Python
Data Science
R
SQL
Tableau
Business Analytics
Data Analysis
Requirements
- Master's degree from Ivy league school in data science, Statistics, Business Analytics, Computer Science, or a related field.
- Relevant certifications (e.g., Certified Analytics Professional) highly preferred.
- 5-7 years of experience in data analytics, including experience in a managerial or leadership role, preferably in a fast-paced business environment.
- Expertise in data analytics tools and technologies (e.g., SQL, Python, R, Tableau, Power BI).
- Strong analytical and problem-solving skills with the ability to interpret complex data and provide actionable insights.
- Experience with data management, data governance, and data visualization techniques.
- Proven ability to manage projects, collaborate with cross-functional teams, and lead a team of data professionals.
- Excellent communication skills with the ability to present data insights to both technical and non-technical stakeholders.
Responsibilities
- Develop and implement data analytics strategies that align with the organization’s strategic goals and business objectives.
- Partner with senior leadership and key stakeholders to identify critical business questions and opportunities where data analytics can provide actionable insights.
- Advise on and support strategic initiatives with data-driven recommendations, including market analysis, competitive intelligence, and business forecasting.
- Oversee the daily management of data analytics processes, ensuring accurate and efficient data collection, processing, and analytics.
- Manage the implementation and optimization of analytics tools and platforms (e.g., SQL, Python, R, Tableau, Power BI) to enhance data accessibility and usability.
- Ensure the integrity, accuracy, and consistency of data through robust data governance practices and quality control measures.
- Create and present regular and ad-hoc reports, dashboards, and visualizations that communicate key findings and trends to stakeholders at various levels.
- Monitor and analyze key performance indicators (KPIs) and business metrics to assess and improve operational performance and business outcomes.
- Manage data analytics projects from conception through implementation, ensuring alignment with business objectives and timely delivery.
- Work with cross-functional teams to ensure analytics projects meet operational needs and are integrated into business processes.
- Oversee the allocation of resources, including team members and tools, to effectively support analytics initiatives.
- Lead and mentor a team of data analysts and data scientists, fostering a collaborative and innovative work environment.
- Provide training and professional development opportunities to enhance the team's analytical capabilities and knowledge.
- Set performance goals, conduct evaluations, and provide feedback to team members to ensure high-quality output and continuous improvement.
- Ensure the security and confidentiality of data in accordance with organizational policies and regulatory requirements (e.g., GDPR, CCPA).
- Monitor and enforce compliance with data protection regulations and standards to safeguard sensitive information.
- Conduct regular audits to assess data practices and address any issues related to data security and compliance.
- Stay current with industry trends and emerging technologies in data analytics and business intelligence to recommend and implement improvements.
- Identify opportunities for process enhancements and automation to improve the efficiency and effectiveness of data analytics operations.
- Continuously seek and integrate feedback from stakeholders to refine analytics strategies and deliver greater value.
Dolls Kill is an online boutique that offers a variety of clothing, shoes, accessories, and beauty products inspired by punk rock, goth, glam, and festival fashion. It targets young adults and teenagers looking for alternative fashion choices that stand out from mainstream trends, providing free shipping worldwide and physical pickup locations in major cities. The company operates on a direct-to-consumer model, generating revenue through sales and pre-orders, while its marketing strategy focuses on social media and influencer partnerships. Dolls Kill aims to create a dynamic shopping experience that reflects the latest trends and caters to the unique tastes of its customers.
Company Stage
Series B
Total Funding
$59.9M
Headquarters
San Francisco, California
Founded
2012
Growth & Insights
Headcount
6 month growth
↑ 0%1 year growth
↑ 5%2 year growth
↑ 4%
Simplify's Take
What believers are saying
- Collaborations with franchises like 'Strawberry Shortcake' broaden Dolls Kill's audience.
- Virtual fashion shows can showcase Dolls Kill's edgy styles to a tech-savvy audience.
- TikTok's growth offers Dolls Kill a platform to engage younger audiences creatively.
What critics are saying
- Controversial marketing campaigns have led to backlash and potential brand damage.
- Fast fashion model faces scrutiny due to environmental concerns affecting consumer perception.
- Dependence on social media marketing exposes Dolls Kill to algorithm changes and platform risks.
What makes Dolls Kill unique
- Dolls Kill offers a unique blend of punk, goth, and festival fashion.
- The company emphasizes personal freedom and individuality in its fashion offerings.
- Dolls Kill's direct-to-consumer model enhances customer engagement and exclusivity.
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