Data Analyst & Data Engineer (SQL) ASAP
Ascendion Taguig Full-time
A. Does (The tasks / responsibilities that the role performs to address requirements in Key Result Areas)
- Ability to gather business requirements and translate the requirements to reports and dashboards
- Create simple yet effective dashboards, reports, etc. a needed by the business in support of projects and operational requirements
- Provide actionable insights by performing data analysis and data mining
- Perform complex ad hoc data queries and provide data extracts as needed by the business
- Create and update documentation and help maintain the team document portal
- Build complex queries on large volumes of data using SQL
- Act as primary Analyst for urgent data and reporting requirements as required by the Leadership team
- Act as L1/L2 Analyst for urgent operational data requirement
- Ability to provide requirements, updates, and resolve know issues in timely manner
- Support Delivery team in the distribution of reports, data files,etc. via email and sftp, and maintenance of distribution list
- Create and update operations support documentation, and maintain tech and operations support document portal. Ensure data security practices in the deployed pipelines
- Standardize different queries and optimize them to speed up query times/
- Build automation workflows and ensures job uptime and performanc
- Attend escalated support calls during business hours and outside business hours (e.g. weekdays after 6 PM, during weekends and holidays, etc.)
- Identify automation opportunities and implement workflows
- Maintain uptime for different automation tasks
- Ability to handle urgent data and reporting requirements from the business
- Willingness to work with different stakeholders across the organization
- Leadership skills to help establish the team’s ways-of-working, processes, deliverables, and documentation
- Strong collaboration skills
- Agile mindset with ‘fail fast, learn fast’ attitude
- Detail-oriented to verify the integrity of gathered data and reports
- Advanced SQL
- Familiarity with reporting and visualization tools (e.g., Excel, Tableau, Power BI)
- Strong attention to detail and problem-solving ability
- Strong SQL
- ETL development
- Knowledge with AWS services (e.g., S3, Redshift, Lambda, Glue)
- Familiarity with data pipeline orchestration tools
- Understanding of data warehousing concepts
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