Business Intelligence Analyst

GO-E026

Business Centre "Labirint" 5th Floor Liulin 10 District, Sofia, Sofia,

Mid Career

Technical Support

Full-Time/Regular

Job Purpose

Provide day to day BI operational support to the Customer Success organization and all related regions/departments, position reports directly to Manager of Customer Success Operations.

Key Responsibilities

• Business Intelligence Support to the Customer Success Organization
  • Regularly meet with business stakeholders to gather data requirements and generate technical specifications for IT
  • Curate data sources to provide insight behind the numbers, suggest a root cause, and resources for further investigation
  • Enhance existing data delivery and models and provide feedback on possible improvements

• Reporting & Maintenance
  • Assist in the creation of Power BI reports and dashboards to give visibility into key performance indicators and metrics
  • Monitor and audit internal reporting ensuring metric accuracy
  • Carry out routine maintenance checks to identify any data discrepancies that need to be corrected
  • Work with team members to validate and correct data where needed
  • Administer an automated process, powered by a case-management solution, to create, manage and report on lead referrals across the company
  • Assist in the completion of client portal registrations in a timely manner to facilitate order transactions

While the job description describes what is anticipated as the requirements of the position, the job requirements are subject to change based upon any changing needs and requirements of the business.

Qualifications

• Bachelor's degree or a more advanced degree in a field relevant to business intelligence (computer/data science, statistics, business analytics, engineering, mathematics, physics, etc.) with a minimum of 3–5 years of experience. Experience in the tech industry is a plus.
• Experience with Microsoft Excel and at least one business intelligence tool (e.g., Qlik, Tableau, Power BI (preferred), etc.), is mandatory. Experience with at least one data engineering language (e.g., SQL, R, Python, etc.) is a plus. Further knowledge in data science is appreciated.
• Knowledge of database structures and querying, an aptitude in math/science, and software development skills along with expert-level knowledge of data relations and transformations.
• Self-sufficiency in learning new software and techniques.
• Additional requirements include having a portfolio with relevant professional explorations of data, as well as being an expert in evaluating data models and data queries.
• Ability to interact and communicate with all levels of an organization, as well as translate business rules into technical requirements that can be shared with IT.
• Effective written and verbal communication skills.
• Team player who is also able to work independently with little to no supervision for extended periods (e.g., a business week).
• Ability to work collaboratively and make decisions promptly.

Tungsten Automation is an Equal Opportunity Employer