Product Analytics Engineer, Odaseva
$50-500k
Enterprise data platform for Salesforce
Be an early applicant
Enterprise data platform for Salesforce
101-200 employees
Be an early applicant
$50-500k
101-200 employees
Company mission
To create a data platform built specifically to help the world's largest, most ambitious Salesforce customers keep their data protected, compliant, and agile.
Role
Who you are
- 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
- Advanced SQL skills for querying and optimizing large datasets
- Proficiency in data visualization tools (e.g., Salesforce CRM Analytics, Tableau, Looker)
- Experience with statistical analysis and machine learning techniques
- Data Pipelines: Experience with data pipeline tools (e.g., Apache Airflow, dbt) for automating data workflows
- Cloud Data Warehousing: Familiarity with cloud-based data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) for scalable and efficient data storage
- Data Modeling: Knowledge of data modeling techniques (e.g., dimensional modeling, star schema) for designing effective data structures
- Scripting: Experience with scripting languages for data processing (e.g., Python, R)
- Data Governance: Understanding of data governance and security best practices
- Statistical Analysis: Experience with statistical analysis methods for extracting insights from data
- Machine Learning: Familiarity with machine learning techniques for predictive modeling and data mining
- Experience in delivering data products or reports to external clients
- 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
- Ability to work effectively in a cross-functional team environment
- Excellent communication skills to convey technical concepts to non-technical stakeholders
- This role requires a strong understanding of data engineering principles, data analysis techniques, and product management methodologies
What the job involves
- Due to significant growth and to address the needs of our Product, we are seeking a Data Solutions Engineer
- This role is a unique blend of data engineering and data analysis, requiring both technical expertise and strong business acumen
- You will be responsible for the development and maintenance of Odaseva's analytics and AI platform, ensuring data accuracy and scalability
- You will also play a key role in delivering customer-facing analytics features and providing data-driven insights to guide product strategy and optimize investments
- 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
- This includes aspects of data engineering like building and maintaining data pipelines, ensuring data quality, and optimizing data infrastructure
- 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
Our take
At enterprise scale, Salesforce data management is uniquely challenging. Large volumes and complex business processes significantly increase risks that can threaten data integrity and potentially halt business operations. With Odaseva, Salesforce architects and platform owners have a powerful set of tools to address these foundational data issues. Clients, including notable brands like Oxfam and Heineken, benefit from a comprehensive suite that ensures data is centralised, accessible, and secure, with solutions for data archiving, privacy, and automation.
Odaseva, engineered by Salesforce experts and endorsed by Salesforce Ventures, is utilised by over 120 million users. In 2023, Odaseva achieved significant milestones, including adding new enterprise customers and expanding data centres across four continents to meet data residency requirements. The platform also introduced innovative features such as Backup and Restore with a five-minute Recovery Point Objective (RPO), enhanced data archiving capabilities with Archive Viewer, and end-to-end encryption with Odaseva Gateway.
Further solidifying its commitment to data security, Odaseva earned new certifications like HITRUST for the U.S. healthcare industry, TISAX for the German automotive industry, and IRAP for Australian government entities. These achievements, combined with its growing portfolio of high-profile clients, position Odaseva for continued success and leadership in Salesforce data security.
Steph
Company Specialist at Welcome to the Jungle
Insights
27% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jun 2024
$54m
SERIES C
Oct 2020
$22.9m
SERIES B
Total funding: $90.9m
Company benefits
- Remote options
- A team of smart and kind people (inspire emulation - not competition)
- A place where you can make an impact and grow your career
- A company at the forefront of data & cloud innovation
Company HQ
Financial District, San Francisco, CA
Leadership
Richard Zolezzi
(Chief Legal Officer)Previously Attorney at Rogers & Wells for 9 years, Counsel at Nixon Peabody for 3 years, and Partner at Catapult Advisors for 5 years.
Rémy Claret
(Chief Marketing Officer)Previously worked for 12 years at Genesys, holding various positions such as Product Marketing Director and Manager Sales Engineering.
Sovan Bin
(CEO)Previously Lead Technical Architect at Salesforce.com for 5 years, and Oracle Siebel Consultant at Capgemini for 3 years.
Vincent Delamarre
(Chief Growth Officer)Worked at Salesforce for 9 years, holding various positions such as Senior Account Executive and Regional Vice President.
Salary benchmarks
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