Data Analyst

Innovation is fuelled by the power of possibilities. A few years ago, it was virtually impossible to innovate because building software needed a degree, it was simply too expensive, too complex, too risky and ultimately too inefficient. That’s why only 16% of projects were ever done on budget and 78% failed.

We're changing that. We’re flipping software development on its head and kicking out the notion that you need to be an expert or do boot camps to learn how to make your app. Builder.ai’s platform lets you order the perfect software app for whatever problem you’re trying to solve. Our AI powered assembly line brings together Lego-like reusable features and experts from around the world to bring world-class ideas to life – ANYONE’s world-class ideas.

Building software needs to be like ordering pizza – pick what you want, get recommendations for the features you need and simply wait till it's cooked and ready for you.

Our human-assisted AI platform helps anyone build, run & scale tailor-made software. Everyone from the bakery in Riyadh and nursery in London, to large fortune 100 companies like the BBC or Pepsi.

Life at Builder.ai

At Builder.ai, we’re looking for team players with a point of view, a sense of humility and a let’s-get-stuff done attitude. We celebrate diversity and encourage everyone to do more with less, while creating and championing a culture that empowers everyone to experiment, push boundaries and learn by doing. Every Builder runs to our core value system of HEARTT (Heart, Entrepreneurship, Accountability, Respect, Trust & Transparency). Our scale-up is at the intersection of a quirky startup where designers and machine learning specialists work on problems together and savvy commercial teams working with finance folks to invent new business models.

Why We Need You and The Role

Our team is expanding and our business is growing stronger daily and so is the number of applications we manage. As an specialist in data, you act as a data-driven advisor for Product leaders and partner with them on strategic decisions to drive product offerings. You'll work on both new & existing product offerings to improve them. You'll work with people, educate the whole team about important product metrics, and perform rigorously statistical analyses & data deep dives.

This role is a mixture between data analysis & technical product manager role where your main objectives will be to come up with strong KPIs for every launch of a new feature for every single product and move into a full Technical Product Manager role in the near future.

Roles & Responsibilities

• You'll perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making support for key projects.
• You'll provide reporting and performance monitoring to product teams using data drawn from diverse sources.
• You'll own and evangelize data-driven experimentation in the team to improve the product offerings, and document it.
• You'll enable product reviews, deep dives, and analyses through the effective use of data and communicate and report insights and recommendations to shape product strategy.
• You'll ensure that any data required for carrying out the other responsibilities for the product/features you’re working on is properly instrumented and logged.

Requirements

Key technical skills

• Ability to write and run optimised SQL/PostgreSQL queries
• Ability to present data in easily digestible manner
• Knowledge of Qlik and ability to convert them into Data dashboards

Key Soft Skills

• Curiosity to deep dive into the whys and whats of a data request
• Ability to identify new patterns /inferences from the presented data
• Ability to understand different data frameworks and deep dive into multiple database architecture to derive the query needed
• Identify lead & lag indicators of any given product
• Convert non-technical requirements to data requirements which would fetch the result
• Strong communication and presentation skills
• Ability to work across multiple functional teams & timezones

Requirements

• Bachelor’s degree in Math, Statistics, Comp Science, Engineering, or other technical field required; advanced degrees strongly preferred.
• Comfortable manipulating, transforming, and analyzing complex, high-volume, high-dimensionality data from varying sources.
• 2+ years’ experience performing quantitative analysis, preferably for an Internet or technology company.
• Strong hands-on experience with SQL.
• Experience in reporting and dashboards involving very large datasets and multiple data sources, with the ability to interpret data and produce meaningful insights.
• Good understanding of statistical analysis, data warehousing, data modeling.
• Preferred experience BI/visualization tools such as Tableau, Looker, Qlikview, Google Analytics etc.
• Ability to execute research projects and craft actionable recommendations.
• Proven ability to work in a fast-paced environment, meet changing deadlines and priorities on multiple simultaneous projects.
• Excellent organizational, communication, presentation and interpersonal skills.
• Enjoys working in both individual and team settings.

Benefits

The best benefit of the role is working with an awesome team to build something unique, along with this you will also get:

• Performance-based bonuses; paid quarterly
• Stock options in a $100 million funded Series C scale-up company
• Remote working, with occasional team days in one of our offices
• 24 days annual leave + bank holidays
• Private medical & dental insurance provided by AXA
• Access to our Perkbox
• A ”work from home” equipment allowance
• The ability to work towards relevant industry certifications