The Role
Lead the data function by overseeing Data Engineering, Business Analytics, and Product Analytics, establishing data strategies to support business growth and enhance decision-making processes.
Summary Generated by Built In
At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors.
Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success.
We are seeking an experienced and visionary Director of Data Analytics to lead our data function and scale our analytics capabilities across the company. Reporting to the Senior Director of Strategic Finance, you will oversee Data Engineering, Business Analytics, and Product Analytics, ensuring data is a strategic enabler for growth and decision-making across the business.
This is a high-impact leadership role at the intersection of technology, operations, and strategy. You will shape the company’s data infrastructure, define our analytics vision, and empower teams with trustworthy, actionable insights. We’re looking for someone who thrives in fast-paced environments, brings strong technical and analytical expertise, and is excited by the opportunity to build and scale a world-class data organization within a high-growth B2B SaaS company.
You will act as the connective tissue between Product, Engineering, Sales, Marketing, Customer Success & Finance, driving alignment around metrics, data governance, and analytics best practices that support smarter, faster decisions.
Core Responsibilities
- Data Strategy & Leadership: Define and execute a holistic data strategy that aligns with company priorities and drives the evolution of our data infrastructure and analytics culture.
- Team Management: Lead, mentor, and grow a multidisciplinary team across data engineering, business analytics, and product analytics, fostering collaboration and excellence.
- Data Infrastructure: Oversee the design, scalability, and reliability of the company’s data warehouse and pipelines, ensuring efficient and secure data flows across systems.
- Engineering Partnership: Collaborate closely with engineering teams to define data architecture standards and implement best-in-class tooling for data ingestion, transformation, and orchestration.
- Analytics & Insights: Develop consistent, trusted business and product metrics, analytical models, and dashboards to improve visibility, performance tracking, and strategic decision-making.
- Data Governance: Implement master data management and governance frameworks to ensure accuracy, consistency, and reliability across all data assets.
- Data Quality & Monitoring: Establish scalable processes to proactively detect, troubleshoot, and resolve data quality issues.
- Cross-Functional Collaboration: Partner with executives and department leaders to identify high-impact, data-driven opportunities that accelerate business and product outcomes.
Skills and Experience
- 8+ years of experience in data-focused roles (engineering, analytics, or data science), with at least 3+ years in a leadership capacity at a tech scale-up or fast-paced environment.
- Deep understanding of modern data architectures (cloud data warehouses, ETL/ELT, data modeling), analytics tools (SQL, Python, dbt, Looker, Power BI, or similar), and data governance frameworks.
- Proven track record of leveraging data to drive strategy, optimize processes, and improve product and business performance.
- Ability to balance hands-on problem solving with long-term vision; you can roll up your sleeves when needed while thinking strategically about scalability and impact.
- Excellent communicator and partner who can bridge technical and non-technical teams, fostering alignment and shared understanding.
- A passion for experimentation, continuous learning, and exploring new technologies in data science and AI.
- Bonus: Experience building data functions from the ground up in a SaaS environment, exposure to AI/ML applications, or experience supporting data products and embedded analytics
We are a dynamic company dedicated to nurturing connections and innovating solutions to tackle market challenges head-on. If you thrive on customer satisfaction and turning ideas into reality, then you’ve found your ideal destination. Are you ready to embark on this exciting journey with us?
We make things happen
We act decisively and with purpose, going the extra mile.
We build
together
We foster relationships and develop creative solutions to address market challenges.
We are here to help
We are accessible and supportive to colleagues and clients with a friendly approach.
Our People Pledge
Don’t meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don’t match 100% of the job requirements. Don’t let the confidence gap stand in your way, we’d love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team.
Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer.
By applying, I confirm that I have read and accept the Staff Privacy Notice
Top Skills
Cloud Data Warehouses
Dbt
Elt
ETL
Looker
Power BI
Python
SQL
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The Company
What We Do
Kpler is the leading data & analytics firm providing real-time transparency in commodity markets. Relying on a methodology that combines artificial and human intelligence, the Kpler platform provides real-time data and analytics (global flows, storage, freight) on more than 40 commodities including crude oil, refined products, LNG, LPG, and dry bulk.
