Position: Senior Business Intelligence Analyst
Company: Atelier Technology
Experience required: 5y
English level: upper

At the moment we are in fully centralised mode, we are a very small team reporting directly to the COO. We are starting to leverage the power of data trying to work in cross functional projects serving all the departments trying to break knowledge silos and provide KPIs visibility to everyone 

You as a Senior Business Intelligence analyst (and in the pathway of possible Head of BI) will be responsible for driving us to the next level. You will be pivotal in planning and design the development of the department helping us to embed Data culture in the company, empowering the teams and scale BI capabilities to allow us to better connect to our users

**Embed Data culture**

You will be in charge of accelerating the adoption of data throughout the company, and move us from reactive stats-gatherers to proactive partners of the business. You will have a pivotal role in embedding the culture of data in the company as a whole. Educating people on how we think about BI in Atelier as well as how to use tools like DOMO. You will help remove barriers to entry and inspire curiosity about how every team member can better leverage data


**Empowering teams**

At the same time, you will be responsible to capitalise on our vast number of rich datasets we hold to create the insights that inform our product design, marketing, operation and commercial strategies.

You will build and monitor dashboards that report on the key business metrics and to interpret their results for your partners in Commercial, Operations and Marketing. You will spot trends or anomalies and diagnose their causes and share these with the right people to ensure action is taken. You will use our Dashboarding and ETL tool, DOMO, as well as writing SQL queries to extract the underlying data from our Databases. You will encompass both types of od your role, the Type A “Analyst” that has the objective of making sense of data through statistical analysis and the Type B “Builder” who develop predictive models and algorithms to power data products


**Build up the BI capabilities to better connect to our users**

This grounding will help you technically; you will master SQL and the diverse datasets that Atelier uses and will be encouraged to experiment with Python. You will also gain a fantastic grounding in our business. Moreover, you’ll gain valuable generalisable skills such as building an analytic mindset, working in teams and presenting to leadership.

Beyond the initial period you can specialise as a Data Analyst by growing your skills with an emphasis on a particular area (such as product or marketing) or you can progress along a Data Science track where you will focus on leveraging machine learning for insight or building predictive models aiming to connect better Atelier to our users


**A typical example of projects: **

Breaking down our performance across different products and devices to identify improvements and potential opportunities to improve the user experience
Understanding the demographics and behaviours of our users to tailor our communications/marketing and best serve their needs

**Responsibilities**

You will set up and maintain reports and dashboards using various technical tools (SQL, DOMO, Excel, etc.) to assess KPIs, verticals and business performance (growth and profitability), overall trends and achievements
You will work closely with the Customer Success, Operations and Technology and senior stakeholders to identify and assess the main KPIs driving B2B business growth and performance. 
You will regularly monitor the business performance, run ad-hoc analysis and provide Senior stakeholders with proactive recommendations to improve the business performance and identify growth opportunities or threats
 You will be responsible for making data available to internal and external stakeholders in a digestible form. This might include designing and create appropriate ETL processes and partnering with Engineering teams to implement them
You will work closely with Technology and Customer Success teams to help prioritise new products and features with the aim of constantly improving the customer experience. Your recommendations will be driven by consumer behaviour, revenue impact, ROI and market trends
You will support modelling - partner mainly with the Operations and Senior stakeholders to share insightful analysis and provide meaningful inputs for both forecasting and scenario modelling

**Skills & Experience**

You have worked in Business Intelligence or Analytics Teams, and are comfortable with tracking business performance, setting KPIs and targets of a B2B business
You know how to build dashboards (we use DOMO) and have advanced Excel skills. You have very good SQL skills and understanding of DB architectures. You are comfortable using online analytical tools such as GA.
You are a smart, strategic thinker who is great at solving problems (not just ones that involve numbers!), able to execute against tight deadlines in a fast-moving start-up.
You have good stakeholder management skills across a variety of different levels of seniority. You are able to prioritise a long list of requests into a work plan and manage expectations accordingly.
You have a team-centric outlook, your work is part of the team’s overall plan. You are happy to contribute on individual projects or support others with theirs.

**Qualifications**

Degree in Computer Science, Engineering or a quantitative field

Professional Experience

2-5 years of experience working with databases (i.e JSON)
Advanced SQL coding skills
2-5 years of experience experience building ETLs and data pipelines 
2-5 years of experience in using DOMO/ Looker/Tableau or other industry standard visualisation tools to build automated reporting
Experience in Python/R and BigQuery 
2- 5 years of experience working cross-functionally in a fast moving, client-delivery orientated environment

**Personal Profile**

Self-Starter - You’re proactive, able to think ahead and future proof an organisation for high growth and scale.
Good Communicator - You have worked with distributed teams before and can maintain an appropriate level of communication to ensure trust and confidence in your work.
You often sit between technical problems and business problems. If you can’t translate them, you can’t succeed in the field
Knowledge Seeker - You stay abreast of industry trends and keep your skills current.
Planner - You approach every project ensuring a consistent methodology is applied. You use the Learn-Plan-Test-Measure approach
Lead as a team member - You are eager to develop others and improving the team workflow, standards, and tools
Adaptable - You are pragmatic and can work in a changeable environment, however, you do not blindly accept changes without question.