All Positions > Data Analysis  > Data Analyst Lead, easyplant

Data Analyst Lead, easyplant

Tel-Aviv | Data Analysis | Full-time

We help millions of people create homes they love

In the beginning, in 2016, we were just two best friends working on a simple idea: how to make it super easy to turn your favorite smartphone photos into awesome wall art.

Today, we have multiple product lines with millions of customers, including Mixtiles, easyplant, Oasis and Around. We're also shipping new products every year.

We love what we do, and we love people who love what they do. If you're that kind of person, read on.

Impact
Small team = a lot of impact
We’re ~100 people, with wildly diverse skill sets, serving millions of customers. Each of us drives a lot of impact. Your work will matter
Products that creates a feeling of connection
Products people love
Working on products you & your family personally use creates a feeling of connection, fun, and spreads good karma
We make it easy to use
Our secret formula = make it easy to use
It’s how we re-invented the picture frame, and then the houseplant. It’s how we got to millions of customers. It’s pure design, and people love it
We solve hard, real world problems
Solve hard, real world problems
Every day, we handle extreme challenges in user experience, manufacturing and scale for which we use tech like AI, AR & robotics
We are a real business that is built to last
A real business, built to last
We believe great products have great unit economics. That’s why Mixtiles is a high growth company that’s also profitable

Meet easyplant 

As part of our mission to make home design frictionless we understood that plants are the worst home design product that dies constantly. We knew this is an engineering issue and we forged our focus towards a mission to prevent plants from dying. Hence, we invested 2 years and developed a self-watering system that prevents plants from dying.

This is an amazing opportunity to join the core team of a new, promising startup, that operates under the umbrella of "Mixtiles", one of the largest Israeli consumer companies.

What you’re applying for

We are looking for an experienced Data Analyst Lead to join easyplant. As a key member of our team, you will play a crucial role in analyzing and deriving insights from product and marketing data to drive strategic decision-making processes. You will collaborate with various teams across the organization to optimize business processes, create and maintain BI reports and dashboards, and contribute to the overall data-driven culture of the company.

We’re looking for a self starter that is comfortable taking ownership. As the first dedicated data team member, you'll have a true opportunity to grow within the company and take on new and challenging projects from day 1.

In this role you'll

  • Utilize strong technical skills to analyze large and complex datasets.
  • Identify business processes, trends, and anomalies to provide actionable insights.
  • Design, develop, and maintain BI reports and dashboards using tools like Tableau & Looker. 
  • Create data visualizations that effectively communicate key metrics and trends to stakeholders.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Present findings and recommendations to stakeholders in a clear and compelling manner.
  • Act as a subject matter expert in data analysis and BI tools, providing guidance and support to team members as needed.
  • Excellent communication and presentation skills, with the ability to effectively convey complex data insights to non-technical stakeholders.

What We're Looking For

  • Bachelor's degree in a technical field emphasizing statistical and analytical skills.
  • 3+ years of experience as a Data Analyst/Product Analyst, with Proficiency in SQL for data querying, analysis, and manipulation.
  • Proven experience in creating BI reports and dashboards using tools like BigQuery, Looker, Tableau, etc.
  • Strong communication skills and ability to collaborate effectively with diverse teams.
  • Familiarity with data engineering processes, including ETL (Extract, Transform, Load) operations, data warehousing, and data modeling. 
  • Proactive, self-motivated, and accountable with a passion for data-driven decision-making.
  • Python + standard analysis libraries e.g. Numpy, Pandas - Strong advantage
  • Knowledge of statistical modeling, Machine Learning, and AI concepts is also a plus.