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Product Data Analyst

Founded in 2012, Odaseva is a scale-up specializing in data security solutions for Salesforce customers. 

Leveraging our deep technical expertise, we help businesses protect and secure their most valuable asset: data.

Our SaaS platform and tools empower data-driven organizations to combat evolving threats, maintain operational integrity, and comply with data regulations. 

With offices in San Francisco, Paris, Sydney, London, Kuala Lumpur, and more, we serve a global customer base including Fortune 500 companies, government organizations, and NGOs, reaching over 100 million Salesforce users worldwide.

At Odaseva, our values — Trust, Service, Commitment, Excellence, Kaizen, and One Team — define the environment we foster for our employees to thrive and succeed.In our work together, we seek to be smart, humble, hardworking and above all - collaborative.

Due to significant growth and to address the needs of our technical teams, we are seeking a Product Data Analyst.


As a key role you will join the Product team, based in France and the United States, to shape our product strategy and enhance the customer experience. You will work closely with the product team to deliver actionable insights, empower data-driven decision-making, and ultimately contribute to the success of our products. As a strategic role, you will report to the manager of the Product team and your responsibilities will include :
  • Analytics & AI Platform ownership: Own the development and maintenance of Odaseva's analytics & AI tools, ensuring data accuracy, reliability, and scalability. Continuously enhance the platform to support evolving business needs and provide a robust foundation for data-driven insights.
  • Customer-facing analytics: Develop with the product team to build and deliver insightful product analytics features to our customers, empowering them to make informed decisions based on their own data.
  • Product metrics expertise: Become the authority on product usage, sales, and customer behavior data. Deeply understand key performance indicators (KPIs), identify trends and patterns, and provide actionable insights to guide product strategy and roadmap planning.
  • Adoption & investment optimization: Utilize data analysis to identify opportunities for enhancing product adoption and engagement. Provide strategic guidance to prioritize investments and ensure resources are allocated effectively to drive maximum impact.
  • Data-driven storytelling: Translate complex data into clear and compelling narratives, using visualizations and presentations to communicate findings and recommendations to both technical and non-technical audiences.
  • Cross-functional collaboration: Work closely with product management, engineering, marketing, and sales teams to gather requirements, understand business objectives, and ensure alignment on data-driven initiatives.


Skills and Qualifications:
  • Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  • 7+ years of experience in a data analysis role, preferably within a product or tech environment.
  • Proven track record of owning and enhancing analytics platforms.
  • Experience in delivering data products or reports to external clients.
  • Proficiency in SQL, Excel, and data visualization tools (e.g., Salesforce CRM Analytics, Tableau, Looker).
  • Experience with statistical analysis and machine learning techniques.
  • Familiarity with product management frameworks and agile methodologies is a plus.
  • Experience with Salesforce and CRM Analytics is highly desirable.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and presentation skills, with the ability to translate complex data into actionable insights.
  • Self-motivated and proactive, with a passion for data and product development.


$50,000 - $500,000 a year

More about Odaseva:

Odaseva is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

For more informations and follow us: Linkedin and Odaseva.com

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CEO of Odaseva
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Sovan Bin
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At enterprise scale, Salesforce data is different. Data volumes are large. Data models are more sophisticated. Integrations, regulations, and business processes are much more intricate. All this complexity dramatically increases the risks to your ...

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Full-time, on-site
DATE POSTED
October 1, 2024

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