About the role

Data Analyst at Ness Digital Engineering creating interactive dashboards and datasets. Collaborating with teams and stakeholders to enhance data insights and advocate best development practices.

Responsibilities

Working with the Project teams
business stakeholders
technical SMEs
Data Insights on a growing portfolio of interactive dashboards across many product teams
Create new datasets and sophisticated dashboards
Understand the data and business processes across all applications
all data domains
Advocate best practises for development across our teams

Expert in SQL
Hadoop
BigData
Hive
Nifi
Ability to analyse the construction of existing reports and reverse engineer table relationships etc
Strong knowledge of the Retail Domain
experience with various stages of data warehouse projects
experience in using DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator
Strong at database commands (DDL and DML) and data warehousing implementations models
Hands on experience with the Hadoop ecosystem , including HDFS, Hive, Sqoop, NiFi, and YARN
Familiar with Mainframe ESP for job scheduling
Understanding of branched development – dev, qa, prod etc
Passionate about data and its potential
Experience of analyzing Lobs, data bases, writing scripts
Experience of connecting to additional sources such as Azure, MySql
CI/CD experience
Bachelor’s degree in Computer Science or equivalent
Candidates without Computer Science or Information Technology degree should have significant work experience.