Mid-level Data Analyst
2 weeks ago
Position Title: Data Analyst
Work Setup: Hybrid (2x a week onsite)
Location: BGC, Taguig
Shift Schedule: Day Shift
ROLES AND RESPONSIBILITIES
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. as 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 requirements
· Ability to provide requirements, updates, and resolve known 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 portalEnsure 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 performance
· 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 workflow
· Maintain uptime for different automation tasks
B. Displays (
The Knowledge, Skills, and Behaviors indicating how tasks / responsibilities will be performed
)
· 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
· Experience in analytics and data warehousing concepts, terminologies, and architecture
· Good oral and presentation skills are a must
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