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Business Intelligence Engineer

Central London   •  Negotiable  •  Contract/Temporary, Full time

Business Intelligence Engineer

Up to 450.00

6 Month Contract

Fully Remote

Key Skills: Python and AWS and SQL

What is the role?

The Business Intelligence Engineer will be responsible for creating the proper data modeling necessary to facilitate reporting and analytics, identifying new data sources, and building out comprehensive data visualizations for key stakeholders. This role is truly a jack of all trades; it will be part process improvement, part analytics, part data modeling, and part strategic design. If you can seamlessly move across these various skillsets then youll thrive in this role. Are you passionate about data? Are you a tinkerer by trade? Do you enjoy questioning the status quo? Do complex and difficult challenges excite you? If yes, this may be the team for you.

Key Responsibilities

Build out comprehensive metrics to measure operational health, then demonstrate continuous improvement within these metrics

Apply deep analytic and business intelligence skills to extract meaningful insights and learning from large and complex data sets.

Build high impact dashboards to tell the story of business trends, patterns, and outliers through rich visualizations.

Be the voice of your customers; communicate the needs of candidates, associates and staffing coordinators to your stakeholders via the data.

Identify various data sources to enable holistic analysis at a global level

Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

Basic qualifications

Bachelor degree in Computer Science, Statistics, Finance, Mathematics, or related quantitative field, or equivalent experience

Minimum 5+ years of relevant work experience in a BI and/or Statistics role

Advanced knowledge of SQL and ability to write complex SQL queries

Experience with data visualization tools such as with Amazon QuickSight, Tableau , Power BI, Qlik or other relevant data visualization software.

Knowledge of data warehouse technical architecture, infrastructure components, ETL and reporting/analytic tools and environment.

Strong verbal/written communication and data presentation skills, including the ability to effectively communicate with both business and technical teams.

Able to work in a diverse team

Preferred qualifications

Masters in Computer Science, Information Systems or MBA

Familiarity with cloud infrastructure preferably AWS including Glue, EC2, S3 and Redshift

Experience with Amazon QuickSight data visualization.

Proficient with Python or other relevant scripting language.

Experience working in large data warehouse environments.

Experience in leading technical discussions and assisting teams in designing solutions

If you are interested please apply or send your CV to luke.sandilands@cpl.com

  • Agency: Cpl Life Sciences
  • Reference: JO-2209-501299
  • Posted: 16th September 2022
  • Expires: 14th October 2022

Cpl Life Sciences

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