Power Bi Data Engineer in Newcastle under Lyme - CV-Library

Power Bi Data Engineer in Newcastle under Lyme - CV-Library

Power Bi Data Engineer in Newcastle under Lyme - CV-Library

Job Overview

Location
Newcastle under Lyme, England
Job Type
Full Time
Salary
£40,000 - £50,000 Per Year
Date Posted
11 days ago

Additional Details

Job ID
99022569
Job Views
4

Job Description

Power Bi Data Engineer

Staffs

Perm

Circa £45k

We have an amazing opportunity for an experienced Power Bi Data Engineer for an exciting client in Staffordshire. This is a great opportunity for the right candidate with Power Bi, SQL, DAX Dashboard experience to join a Nation-Wide company.

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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