Pecan is an automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying predictive models in various business use-cases, such as life-time value, Churn, demand forecast and more. Pecan connects to the raw data and completely automates the data preparation, pre-processing & feature engineering phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israel’s 50 most promising startups two years in a row.
Company Highlights:
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, Nestle, and SciPlay.
Responsibilities:
The Data Analyst is a part of the Customer Success team, which is responsible for all of our clients, starting from the POC stage and through deployment in production environments. The CS team assists our clients in the design, planning, and implementation of predictive analytics programs. We are looking for an enthusiastic and client-focused data analyst.
What You’ll Do:
As a data analyst in Pecan, you will work at the forefront of the data world, by creating and optimizing predictive models and assisting our clients to use those predictions to affect their business and generate value.
Together with the team, you will be continuously helping our clients achieve their business goals and reinforce the value of Pecan. You’ll assist in covering data and technical aspects of integrating clients’ systems with our predictive analytics platform.
Typical tasks of the position include:
- Collaborate with the clients’ business stakeholders, gather technical requirements, and understand the need for predictive models.
- Analyze large volumes of data sets using different coding languages such as SQL and Python.
- Analyze the model’s outputs and explain complex concepts in simple terms.
- Collaborate with clients’ teams and translate business needs to data solutions.
- Be the data and technical point of contact for our clients, and understand their needs.
- Develop tools and data research to improve the quality of predictions.
What we are looking for:
- 5+ years of work experience as a data analyst
- 3+ years of experience in SQL, Python (Pandas, Numpy)
- Demonstrated experience in problem-solving and providing business insights
- Excellent business analytical skills
- Digital Marketing analyst experience or working closely as an analyst with digital marketing departments
- Experience with data visualization tools and methodologies.
- Statistical experience (creating attribution models, A/B tests or lift analysis)
- Team player, proactive and a builder
- BA/BS in Engineering, Statistics/Math, Economics or a related field
Bonus:
- Experience with cloud data warehouse technologies (AWS, Snowflake, BigQuery, etc.)
- Experience working with Econometric Modeling or Causative Modeling
- Familiarity with predictive analytics and modeling processes
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