Mid-Senior Data Analyst (SQL)

Position Title: Data Analyst

Work Setup: Hybrid (2x a week onsite)

Location: BGC, Taguig

Shift Schedule: Day Shift

ROLES AND RESPONSIBILITIES

1.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 (TheKnowledge, 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