Analytics Specialist / Big Data - Edinburgh

A well established Edinburgh based software company are looking to establish a new analytics function comprised of data scientists to compliment their existing business intelligence and technical development teams. Successful candidates for this role could come from either a "traditional" BI and Software Development background or from a stats / analytics and big data environment.

The Data Science team will be responsible for working with several key external customers to drive marketing and customer campaigns; to provide rich business insight drawn from huge amounts of customer behavioural data and to add significant internal and external value in terms of evaluating data architectures and making recommendations of the utilisation of company data.

Desirable experience includes:

* Database development experience, including experience as a Data Architect working with 'Big Data' technologies such as Hadoop, NoSQL, BigTable, and HBase and large data sets.
* Experience and detailed knowledge with Master Data Management, ETL, Data Quality, metadata management, data profiling, micro-batches, streaming data loads, and Change Data Capture (CDC)
* Experience and detailed knowledge of integrating and aggregating large data sets into high-volume data warehouse applications using highly-varied and high-velocity data collection systems
* Experience and detailed knowledge of relational, OLTP, SQL, dimensional and OLAP databases and technologies
* Experience and working knowledge of Business Intelligence and Data Warehousing technologies and solutions
* Experience with data governance, stewardship, risk and compliance
* Experience with Internationalisation
* Experiences with Hadoop technology stack layer: HIVE, HDFS, Map/Reduce, FLUME, PIG, Cloudera, etc.

This is a great opportunity for a BI / Analytics specialist to join a highly successful, data driven business during a major period of growth.

For more information please contact Chris Reilly on 0161 817 7888 and/or submit an up to date CV ASAP.
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