QA Engineer - Strategy & Digital - India

Role Profile:

The Data QA is a role who will work in ALSHAYA’s Digital Transformation team to leverage data for analytics use cases that directly impact our ambition for best-in-class frictionless omnichannel customer experience.

This is an enterprise wide role, with the remit to benefit all our brands, in all our markets of operations, across all channels.

The below Key Performance Areas include but are not limited to:

• Adds direct value to: data engineering, analysts, data scientists, brand analytics teams
• Works with: data analysts, Digital Hub product owners, IT data source owners, external data providers, Data & Analytics community of practice

Experience

Minimum 5 year of experience in Data Quality initiatives (data profiling, improvement, accuracy, completeness, data integrity, data stewardship, and data governance)

Excellent knowledge of GCP and Google Product suite including Databricks

Good knowledge of Oracle database basic programming.

Good oral and written communication skills with strong ability to write up technical reports

Skills:

Behaviours:

• must show commitment to continuous skills improvement / self-learning

• strong demonstration of timeliness and delivering to commitments

• demonstrated collaborative approach to work

• empathetic to our customers and their needs & wants

• culturally aligned to ALSHAYA values

• start-up mindset: we are developing a new capability for the enterprise

Professional Skills:

• Agile Methods: able to run a sprint-based delivery

• Value Modelling: able to find and articulate the business value of data insights

• Business knowledge: experience in customer analytics use cases highly preferred (customer segmentation, purchase pattern analysis, propensity modelling, loyalty insights, profitability analysis, marketing response analysis)

• Track record of success: demonstrated success in working with business stakeholders using data and technical environments to deliver quantifiable business benefit

Technical Knowledge:

• Certified Google Cloud Data Engineer / Architect

• Experience working in an AGILE environment

• Advanced Java/Python/Scala coding skills

• Experience with CICD pipeline and DataOps methods; managing data model deployments and tuning

• Code repository management, containerisation experience

• Experience with Data Security Frameworks

• proficient in SQL

• preferred understanding of low code / no code AI environments

Context:

• strongly prefer industry with large scale B2C data

• prefer experience in customer analytics

• prefer experience in ALSHAYA countries of operation

• prefer experience in digital transformation