Manager, Data & Analytics

What you'll be doing?

Essential duties and responsibilities:

Drive the full lifecycle of Data projects: from gathering business requirements and understanding the end-user needs, to establishing business value and implementing a fully automated solution.
Partner with product owners across domains, architects, technology partners and cross-functional teams to implement solutions that meet the needs of the enterprise.
Design robust and scalable solutions to meet the data needs whilst establishing standards, guidelines, and best practices for teams utilising the solution.
Play an active role in project coordination between internal and third party/vendors for smooth project delivery with a focus on risk mitigation strategies.
Analyse, tackle and resolve day-to-day operational incidents and be the central advisory to business users.
Participate in cross functional teams to promote technology strategies, evaluate and test products, perform proof of concepts and pilot new technologies/methods.
Agile - Scrum project management experience/ knowledge - Ability to prioritise, pushback and effectively manage a data product and sprint backlog.
Investigate operational data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements. Demonstrate technical expertise in the assigned domain.

Requirements:

Bachelor's degree in Engineering, Computer Science or equivalent
8+ years of professional Data Analytics, Data Warehouse or Business Intelligence experience focused on empirical / predictive analytics to devise actionable business insights.
Extensive experience in building reliable and scalable ETL/ELT pipelines to ingest data from a variety of data sources, preferably in the retail industry.
Strong ability to exhibit sound business judgement, a proven ability to influence cross-functional teams, strong analytical skills, and a proven track record of taking ownership, leading data-driven analyses and influencing results.
Experience working in a multi-vendor environment with geographically distributed teams
Proven ability to lead support functions for production systems with emphasis on service delivery, problem management and effective mitigation of technology obsolescence.
Expert-level SQL skills with deep expertise in implementation and performance optimisation of MPP databases (e.g., Snowflake, BigQuery) hands-on experience with Relational Database Management Systems (RDBMs) (e.g., PostgreSQL, MSSQL), and proficiency in NoSQL databases (e.g. Cosmos DB, Elasticsearch).
Extensive experience in ETL pipeline development, using dbt for data transformation, Airflow for orchestration, and deploying and managing applications in Kubernetes.
Skilled in implementing CI/CD pipelines using Github and Github Actions.
Proficient with Microstrategy, PowerBI, Tableau or any standard data visualisation/BI tools.
Familiarity with distributed processing frameworks (e.g., Spark, Hadoop, Flink) asynchronous messaging systems (e.g., Apache Kafka), and the corresponding cloud services such as Azure Event Hub, Azure Functions and more.
Knowledge of cloud services like Azure, Alicloud, GCP would be a huge added advantage
E-commerce / Logistics / Fashion Retail background a bonus.

Ideal Candidate

DFS is an equal opportunity employer. It is the Company’s policy and practice to employ, promote and treat all employees and applicants on the basis of merit, qualifications and competency and to provide all employees with a workplace that is free of discrimination. Employment decisions are based on qualifications such as education, work experience and talent, and are made without regard to race, color, gender, religion, age, national origin, marital status, sexual orientation, disability or any other basis protected by law.

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