Data Analyst/Engineer at Leadhome

About the role

We’re looking for someone who is passionate about data and delivering insights to everyone in the business. Leadhome has an open policy when it comes to sharing data and information in the company. Every employee, down to the call centre agent, has access to PowerBI and uses data daily to make data-driven decisions.

You will be working as part of a small, cross-functional tech team, which includes software engineers, product designers and data analysts. Your stakeholders will include the executive team, operations, sales, marketing and tech/product.

What you’ll be doing

• SQL views and tables using DBT to be used for reporting and ad-hoc analysis
• Power BI datasets and reports based on business requirements
• Python scripts to extract data from google sheets, write data to google sheets and use API calls to retrieve and send data from 3rd party systems
• Machine learning models
• Provide analysis over multiple datasets to assist with decision making
• Implement new business rules that impact data and reports
• Provide support on data related queries to all teams within the company
• Apply software engineering best practice to our data environment (e.g. testing and version control)

Tools we use:

• PowerBI
• Amazon Redshift
• DBT
• Python
• Fivetran
• Requirements
• 5+ years’ experience as a data analyst, data engineer or data scientist.

Required skills

• SQL experience (Knowledge of joins and window functions)
• Power BI - have experience with datasets and DAX
• Python - experience with data frames (using pandas) and basic machine learning packages
• Git

Nice-to-haves

• Experience with DBT (Data Build Tool) to manage data models
• Machine Learning & deploying models in production

About you:

• Collaborative team player (no brilliant jerks)
• Excellent communicator
• Natural problem solver
• Effective in a growing, agile team
• Ability to think about the problem that needs solving, not just answering the question being asked.