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Lead Data Analyst - Contract

fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Bachelor's degree in Statistics or related field, 5+ years of data analytics experience, Experience in e-commerce, preferably subscription models, Expertise in advanced analytics and BI tools, Strong communication skills with stakeholders.

Key responsabilities:

  • Provide strategic direction using data insights
  • Lead statistical analysis and testing methods
  • Develop insights to improve customer acquisition and retention
  • Build and maintain data products for decision-making
  • Mentor and guide junior analysts effectively
Tech Holding logo
Tech Holding Scaleup https://www.techholding.co/
51 - 200 Employees
See more Tech Holding offers

Job description

About us:

Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients.  Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.

The Role:

As a Lead Data Analyst, you will be pivotal in shaping data-driven strategies that enhance the experiences we offer our members. Your insights will support business growth, inform product decisions, and drive efficiencies across our e-commerce subscription platform. You will collaborate closely with various teams, including Marketing, Product, Merchandising, Engineering, and Finance, to provide actionable data insights that influence decision-making and future roadmaps. This role focuses on leveraging advanced analytics and statistical techniques to support personalization, acquisition, retention, and growth strategies.

Responsibilities: 

  • Data Leadership: Provide strategic direction using data insights to shape business initiatives, identify growth opportunities, and address potential challenges. Work closely with leadership to align data initiatives with business objectives.
  • Advanced Analytics & Statistical Analysis: Apply rigorous analytical methods to drive key business decisions. Lead efforts in hypothesis testing, A/B testing, regression analysis, and forecasting to inform product and marketing strategies.
  • E-commerce Focus: Leverage your experience in e-commerce to develop actionable insights that improve customer acquisition, retention, and overall user experience in a subscription-based model.
  • Business Intelligence (BI) Tools: Build, maintain, and improve data products, including dashboards, reports, and ad hoc analyses using Tableau and Snowflake, to enable data-driven decision-making across the company.
  • Cross-functional Collaboration: Partner with teams from Engineering, Marketing, and Product to influence strategy and drive execution. Build strong relationships to align business needs with data initiatives.
  • People Leadership: Mentor and inspire a team of analysts, fostering a data-driven culture. Guide junior analysts on best practices and technical expertise, upskilling the team to enhance overall impact.
  • Communication & Storytelling: Translate complex data sets into compelling stories. Present insights clearly to stakeholders at all levels, providing actionable recommendations that align with business goals.

Qualifications: 

  • Education: Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
  • Experience: 5+ years of experience in data analytics or related fields, with at least 2 years providing technical support and guidance to teams.
  • Industry Expertise: Proven experience in an e-commerce environment, ideally within subscription-based business models.
  • Technical Skills: Expertise in advanced analytics, statistical methods, and hands-on experience with tools like Tableau, Snowflake, SQL, Python, or R.
  • Communication: Strong ability to articulate both technical details and high-level business strategies to various stakeholders.

Nice to Have: 

  • Advanced Education: Master’s degree or higher in a quantitative field.
  • Technical Proficiency: Hands-on experience with machine learning, A/B testing, and experimental design.
  • Industry Knowledge: Deep understanding of e-commerce KPIs, personalization techniques, and subscription models.
  • Leadership Skills: Strong leadership and stakeholder management abilities with the capacity to influence at various organizational levels.
What we offer:
  • Flexible Work Hours
  • Competitive Salaries
  • Professional Development Opportunities

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Leadership
  • Leadership Development

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