Power BI Data Engineer

2 weeks ago

StokeOnTrent, United Kingdom International Decorative Surfaces Full time

To Exceed Your Potential. It's got to be IDS.


International Decorative Surfaces are a people business; our customers come to us and stay with us because we have highly trained and loyal staff that are very much a part of their local community.

We are proud that our people are long serving and that they are able to work and develop themselves in a challenging but supportive environment.


We believe that everyone has something to contribute and we are committed to developing a diverse workforce and promoting equal opportunities. Our training is constantly evolving to ensure everyone has the skills in which to fulfill their maximum job potential and to adequately prepare for career moves within the business. As our objective is to promote from within, where possible, there are excellent opportunities for career development.


Job Purpose

To take complete responsibility of the development and administration of BI tools including transforming raw data to valuable and meaningful insights in the form of appealing dashboard and reports.


Qualifications required

· 5 A-C GCSE’s or equivalent

· Relevant IT qualification


Knowledge, Skills & Experience Required

· Proficiency or familiarity with data science, business intelligence and data analytics.

· Must be aware of data integration, data warehousing, modelling along with presentation tactics and concepts

· A minimum of 3 years experience working with BI tools

· An in depth knowledge of Microsoft Business Intelligence stack like power pivot, SSRS, SSIS and SSAS

· Must be able to build rich dashboards, write DAX expressions and also implement security


Key Results Areas

· Study, analyse and understand business requirements in context to business intelligence

· Design and map data models to shift raw data into meaningful insights

· Utilize Power BI to build interactive and visually appealing dashboards and reports

· Spot key performance indicators with apt objectives

· Analyse previous and present data for better decision making

· Transform business requirements into technical publications

· Build multi-dimensional data models

· Develop strong data documentation about algorithms, parameters and models

· Take care of data warehouse development

· Identify the requirements and develop custom charts accordingly

· SQL querying for better results


Benefits

· Holiday – 31 days increasing to 33 with service (including 8 bank holidays)

· Retirement Savings Plan – Matching contribution for less than 4%, above 4% contribution increasing with service

· Life Assurance – 2 x salary / 4 x salary in pension scheme

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