Analytics Lead

**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 utilizing 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
- Analyze, 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.

**Key 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.
- Expert level skills in SQL with a deep understanding of Relational Database Management Systems (RDBMS) (e.g, PostgreSQL, MSSql), No-SQL Databases (e.g. HBase, ElasticSearch) and hands-on experience in implementation and performance tuning of MPP databases (e.g. Snowflake, BigQuery).
- Experience with MicroStrategy, Power BI, Tableau or any standard data visualization/BI tools.
- Familiarity of robust distributed processing frameworks (e.g. Spark, Hadoop, Flink), asynchronous messaging systems (e.g. Apache Kafka, PubSub).
- Working knowledge of CI/CD tools (e.g. Git, Jira, Jenkins), Industrialization tools (e.g. Ansible, Terraform), and Workflow Management tools (e.g. Airflow, Prefect).
- Strong ability to exhibit sound business judgment, 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.
- Knowledge of cloud services like Azure, GCP would be a huge added advantage.
- E-commerce / logistics / fashion retail background a bonus.

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.