Pecan AI

Tel Aviv

51-200 employees

Pecan is a predictive analytics platform designed for impact. Get accurate, actionable predictions in days and unlock the power of AutoML.

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Client-Facing Data Analyst- US

Pecan AI

Client-Facing Data Analyst- US

Data Analytics

This job is no longer open

Pecan AI was founded in 2018 by co-founders Zohar Bronfman and Noam Brezis to bring the power of AI to every business team at every company. Pecan democratizes data science and AI by removing data scientists out of the equation and instead, puts the power of predictive modeling directly into the hands of business users across marketing, sales, product teams, supply chain and the BI analysts that support them. Pecan users leverage advanced data science techniques to predict future outcomes unlocking transformational improvements in their KPIs – such as growth of revenues and customer lifetime value, decrease in churn, and optimized inventory management. In one intuitive low-code platform, business analysts and their business partners can add data, deploy off-the-shelf predictive models, and predict what’s likely to happen in the future with a high degree of confidence – finally bringing AutoML within reach for all. 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.
90+ employees and growing very quickly
HQ in Tel Aviv with growing sales and marketing organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson, Nestle, and SciPlay.

The Customer Success team 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 working in cross-functional collaboration with Sales, Product Management, and Engineering. The team is in charge of educating, supporting, and assisting our clients with anything related to the technical and analytical cycles. Our Customer Success organization is looking for an enthusiastic and client-focused data oriented professional to join the Strategic Accounts team focusing on delivering complex projects that drive our platform capability strategy.

What You'll Do

As a Customer Success team member, you will work at the forefront of the data world, optimizing predictive models and assisting our clients to use those predictions to affect their business. In addition to data analysts and scientists you will work closely with the following levels in our client’s organizations:

C - level executives and VPs
Data analysts
DBA’s
DevOps engineers

Together with the team, you will be continuously helping our clients achieve their business goals, reinforce the value of Pecan’s modules, and the ease of use of our platform. Together, we create and implement predictive analytics’ actions and plans that help several types of businesses that are heavily dependent on data predictions.

When our clients are happy, and see the value of our platform, so are we!

You'll assist in covering data and technical aspects of integrating clients’ systems with our predictive analytics platform.

What you will do :

Collaborate with the clients’ business stakeholders, gather technical requirements, and understand the need for predictive models.
Write complex SQL queries
Analyze databases using different coding languages
Analyze the model’s outputs and explain complex concepts in simple words
Create ad-hoc Tableau reports - provide statistical, business analysis and insights
Collaborate with clients’ teams and translate business needs to technical data solutions
Be the data and technical point of contact for our clients, and understand their needs

Who You Are & What You Bring

2+ years of work experience as a data analyst
Excellent analytical skills
1+ years of experience in SQL, python (PySpark, Pandas, Numpy)
Experience with Tableau and data warehouse tools (Azure, Databricks, AWS, Snowflake, BigQuery, etc.)
Demonstrated experience in regression-based forecasting, problem-solving and providing business insights
Great attitude & team player

Nice to Have

Understand predictive analytics and modeling processes
Statistical experience (creating attribution models, A/B tests or lift analysis)
BA/BS in Engineering, Statistics/Math, Economics or a related field

*This position requires an authorization card in the US.

This job is no longer open