BI Developer - Reading/Remote

Location:
Reading
Job Type:
Contract
Industry:
Cloud & Infrastructure
Job reference:
BBBH156567_1654702649
Posted:
27 days ago

BI Developer

What you'll be doing...
As a BI developer you will combine Data Engineering skills to collect and process data to measure business performance and support business decisions. You will help maintain and develop a resilient Data Warehouse underpinning a variety of analytical requirements.

  • Translate Executive and strategic priorities into data requirements.
  • Prepare Financial data for operational and analytical use.
  • Pull, cleanse, structure and integrate data from internal Finance and CRM Systems.
  • Deliver data sets and aggregations to support Finance business partners.
  • Develop & Maintain predictive modelling techniques for the Revenue and Sales forecasting processes.
  • Develop standard reports and templates.
  • Develop re-usable models to analyse business performance and automate commentaries.
  • Consolidate data for analytical applications.
  • Document requirements and business processes.
  • Create conceptual and logical data models to support key functional domains.
  • Investigate data and reporting issues and create reconciliation procedures.
  • Develop & maintain data pipelines via Visual Studio (SSIS), SQL programming and VBA.


This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.
What we're looking for...
You'll need to have:

  • Bachelor's degree or relevant work experience.
  • Experience working in a SQL Development or BI role.
  • SQL programming in MS SQL Server- Intermediate experience.
  • ETL experience using SQL Server Integration Services (SSIS).
  • Intermediate Excel - VBA experience.
  • Knowledge of Data Warehouse concepts.


Even better to have one of the following:

  • Degree in Finance, Engineering, Computer Science, or quantitative field.
  • Ability to interpret and run pre-defined processes/scripts.
  • Ability to work with large and diverse data sets.
  • Highly organised with great attention to the detail.
  • Process and procedure oriented.
  • Data Visualisation - PowerBI / Qlik / SSRS.
  • Knowledge / experience applying predictive/prescriptive analytics to financial data sets.
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