Client Facing Data Analyst

Client Facing Data Analyst

Remote, Anywhere

Direct Hire

7 days ago

Client-Facing Data Analyst

US / Canada East (Remote) 

Pecan.AI just raised a $66M series C round and plans to grow headcount by 100% this year. This is an exciting opportunity to join a leading startup entering hypergrowth and have a massive impact on strategic client success delivery.
Pecan is an automated AI-based predictive analytics platform that 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, engineering and prepossessing phases, as well as the model training and evaluation lifecycle.  

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 oversees 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:
1.    C - level executives and VPs
2.    Data analysts
3.    DBA’s
4.    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

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