Posted on: 07/10/2025
Roles and Responsibilities :
- Manage SQL development tasks and ensure timely delivery of project milestones, coordinating with onshore and offshore teams.
- Develop, optimize, and maintain complex SQL queries, stored procedures, and ETL processes for data extraction, transformation, and loading.
- Perform data validation, cleansing, and quality checks to ensure data accuracy and integrity.
- Monitor database performance, troubleshoot issues, and implement optimization techniques such as indexing and query tuning.
- Schedule and oversee regular backup, restore operations, and support end-user connectivity and access issues.
- Assist in migration activities involving SQL databases and SAS datasets, ensuring seamless transitions and data integrity.
- Prepare and maintain comprehensive technical documentation for SQL scripts, workflows, and standard operating procedures.
- Collaborate closely with development, testing, and business teams to translate requirements into effective database solutions.
- Communicate project status, technical concepts, and challenges clearly with clients and stakeholders, including preparing presentation materials.
- Mentor junior team members, foster knowledge sharing, and demonstrate ownership and proactive problem-solving in a fast-paced environment.
- Monitor project progress and ensure adherence to client expectation
- Communications, including deck writing
- Coordination of all sub-team efforts; Creation of project plan, define milestones, timelines, review plan with the team
- Delivery of output
- Facilitation and gathering of client feedback on problem structuring
- Understand and define business problems, get all background information and collect relevant data points
- Create solution hypothesis and get client buy in, discuss and align on end objective, staffing need, timelines and budget
- Effective management of frequency of feedback loop with offshore resources
Technical skills :
- Experience SAS 9.4 (base and advance)
- Experience SAS Viya 3.3,3.5 and 4 (base and advance)
- Experience in migration from SAS EG & SAS Viya:
- Expertise in converting .EGP file to .Flow in Viya
- Experienced in scheduling regular backups/restore strategies.
- Experienced in reading SAS logs to find out root cause issues.
- Experienced in preparing documentation of Installation and standard operating procedures
- Scheduling the jobs and monitoring for day-to-day activities, escalating problems to the tech support if any issues arise.
- Support end-users with access and connectivity issues.
- Establish a formal, regularly scheduled backup process.
- Working with Development and Testing teams to prioritize and handle issues to resolve quickly.
- Extract, transform, and load (ETL) data from various sources into SAS datasets.
- Perform data quality checks and implement data cleansing and validation procedures.
- Optimize data processing and storage for efficient performance.
Soft skills :
- Strong work ethic and desire to product quality results
- Consistently and proactively communicates (verbally/written) to stakeholders (progress/roadblocks/etc.)
- Continuous Improvement mindset and approach to work product
- Ability to take complex subjects and simplify it to less technical individuals
- Provides clear documentation of processes, workflows, recommendations, etc.
- High level of critical thinking capabilities
- Organized and has the ability to manage work effectively, escalating issues as appropriate
- Takes initiative & is a self-starter
- Displays ownership of their work (quality, timeliness)
- Seeks to become an expert in their field and shares their expertise through recommendations, proactive communications/actions and peer sharing/coaching where relevant
Candidate Profile :
- Bachelors/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply
- 4+ years experience, preferably in insurance analytics
- Experience in working in dual shore engagement is preferred
- Must have experience in managing clients directly
- Superior analytical and problem solving skills
- Demonstrated leadership ability and willingness to take initiative
- Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work
- Outstanding written and verbal communication skills
- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
- Is able to understand cross cultural differences and can work with clients across the globe
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Posted in
Data Analytics & BI
Functional Area
Big Data / Data Warehousing / ETL
Job Code
1556767
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