QUALIFICATIONS (Minimum requirements in terms of experience and background, skills and competencies for sourcing purposes)

• Years of Experience: 3-5 years of experience in software development or QA roles.
• Experience working with SQL required
• Experience in Google Data Studio, Google Sheets, Excel required
• Experience in Google BigQuery, Tableau, Power BI, Metabase, DaaS preferred
• Experience in Hadoop or Big Data technologies preferred
• Experience working with MySQL preferred
• Experience working with Python/Scala preferred
• Experience in JIRA and Confluence preferred
  
  

Job Description

I. ROLES AND RESPONSIBILITIES

• 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
• 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
• Excellent team player with good analytical skills in providing insights to numbers
• Ability to work closely with colleagues to try and identify data related problems and solve them
• Capability to adapt, develop or introduce projects that can be used for data analysis
• Coordinates and supports the Technical Team on the updates of the Data Sources System
• Delivers (The specific outputs / tangible results produced by the role; resources responsible for)
• Dashboard, reports, data extracts, and ad hoc requests to the business
• Top-notch analytics support in accordance with agreed SLAs and KPIs
• Comprehensive and up-to-date support documentation
• Improvements in queries and reporting performance
• Processes and workflows in accordance with best practices