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Head of Data Analytics and Engineering

Il y a 2 mois

Paris, Île-de-France Nivoda Temps plein

About Nivoda

Nivoda is a leading B2B diamond and gemstones marketplace, connecting jewellery retailers to gemstone suppliers, to save time and money while gaining access to a global diamond supply at the best prices, with zero inventory risk.

With a team of over 400 dedicated employees worldwide and a wealth of experience in the industry, Nivoda has developed an award-winning solution that enables jewellery businesses of any size, in any location, to buy and sell diamonds in the most profitable, efficient, and hassle-free manner.

Over the course of the last six years, Nivoda has evolved into a global platform recognized for its innovation, customer service, and ability to deliver a seamless, reliable, and efficient experience.

About the Role

Data is essential to our business, allowing us to drive the insights that inform critical decisions across the entire customer journey. With a focus on innovation and continuous improvement, you and your team will take charge of evolving the organization's data capabilities, working closely with department heads to empower us to better serve our customers.

Key Responsibilities:

  • Strategy Development: Craft and own the Data Engineering, Data Science, and Data Governance roadmap, aligning high-priority projects with cross-functional partners while bolstering our data KPIs and dashboards.

  • Team Management: Lead a team of engineers and analysts, fostering collaboration with internal stakeholders to execute the strategy effectively. Ensure the effective use of data science methodologies and data engineering best practices.

  • Data Governance: Implement and take forward our data governance strategy, pulling together stakeholders across the organization to ensure the security and integrity of our data.

  • Strategic Planning: Develop both short and long-term strategies to enhance revenue growth and preserve overall platform value, translating insights into tangible action plans.

  • Operational Excellence: Spearhead the enhancement of operational tooling strategies and vendor relationships to deliver impactful insights, ensuring alignment with organizational goals.

  • Collaboration: Partner closely with product, operations, and revenue teams to help their analysts develop strategies aimed at improving user experience and overall marketplace performance.

Your Qualifications and Experience:

  • Proven track record in leading and managing diverse data teams, including data engineers, and analysts.

  • Demonstrated ability to drive a data strategy that aligns with business objectives.

  • Strong people management skills with a focus on fostering collaboration and professional development.

  • Deep knowledge of data engineering, data science, and business intelligence tools and methodologies.

  • Experience with cloud data platforms (e.g., Snowflake, Redshift, BigQuery).

  • Knowledge of ML model frameworks, tuning, and productionization.

  • Experience implementing data governance frameworks to ensure data quality, security, and compliance.

  • Ability to lead initiatives that safeguard data integrity and promote best practices across the organization.

  • Strong project management skills, with a track record of delivering complex data projects from inception to completion, ensuring high-quality outcomes.

  • Bias toward action and ability to simplify complex problems, driving alignment, clarity, and execution on tight timelines.

  • Excellent communication skills to articulate data insights and influence decision-making.

  • Encourages a data-driven culture of innovation and learning.

Preferred Qualifications:

  • Leadership of previous data function, with strong stakeholder management.

  • Management consulting, marketplace growth operations, or strategy work in a large business.

We Offer:

  1. A dynamic working environment in an extremely fast-growing company.

  2. Intellectually challenging work, you will play a massive role in Nivoda's success and scalability.

  3. Connect with peers globally in a true no-central location team.

  4. Collaborative and supportive work environment with very little hierarchy.

  5. Flexible working hours.