Job Description

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 workflows

Maintain uptime for different automation tasks

1. 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 teams 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