Senior Data Analyst
7 days ago
**Job Purpose**
The Campaign Engineering team manages data projects, data pipelines and data analytics to unlock the data-driven insights that produce greater sales through targeted marketing campaigns. As part of the divisional focus on digital and data, the campaign data pipelines and analytical assets are decided to be migrated into a modern data management system
As the core player of this migration project, the Senior Data Analyst will play a pivotal role in managing the design, requirement, development, testing, documentation and post-live support of the data ETL migration project, which enables the data and analytical assets that forms marketing strategies and enables marketing campaigns. Based on the knowledge accumulated in the data assets, this role is also expected to work closely with the key stakeholders (i.e. IT and Campaign Manager) to design, recommend and implement the analytics solution for new campaign for digital business.
**The Job**
- Collaborate with campaign engineering team, campaign manager and IT team to identify the scope, roadmap, requirement, testing strategy for the data ETL migration
- Translate and implement the campaign data ETL code from SAS to SQL that achieve the quality requirement within timeline
- Identify opportunity for ETL re-engineering to improve the efficiency of the campaign data ETL and data model.
- Support ad-hoc data analytics and reporting requests.
- Ensure the delivery of quality data and maintain the data project documentations, e.g. data requirement, data lineage, testing summary and evidence.
- Ensure all analytics project and tasks undertaking comply with both internal and external policies, guidelines and regulations
- Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.
- Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.
- Highlights any potential concerns /risks and proactively shares best risk management practices.
**Our Requirements**
- BS in Business Analytics, Statistics, Economics, Actuarial Science or equivalent disciplines that focuses on extensive use of data for analysis
- 5+ years of practical experience as Data Analyst or Data Engineering that manages complex ETL for big data
- 2+ years of Project Management or Business Analyst experience with strong analytical, change management and communication skills.
- Proficient in traditional and modern data programming language (e.g. SQL, Hive, Spark), Able to explore among enterprise level data lake to develop complicated queries with minimum guidance.
- A problem-solver, initiative-taker who can work independently and responsibly with mínimal supervision.
- Ability to manage and prioritize requests and tasks while being goal-oriented
- Experience in data visualization software (e.g. Tableau, MicroStrategy or PowerBI) or Data Preparation tool (e.g. Alteryx, Dataiku or DataRobot) is a plus.
- Experience in insurance or financial services industry is a plus
- High level of integrity, takes accountability of work and good attitude over teamwork.
- Takes initiative to improve current state of things and adaptable to embrace new changes.
Contract length: 12 months
Pay: Up to $6,500.00 per month
**Benefits**:
- Health insurance
Schedule:
- Monday to Friday
Work Location: In person
- Health insurance
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