BI/Tableau Analyst

Project description

Reporting and Analytics BI team covers company-wide corporate reporting needs. Interacting with internal clients (Luxoft Executive, Engineering and Corporate functions management teams) we build Tableau reporting and data analysis covering different internal Luxoft processes and practices. Our work is not just to produce dashboards and code, but, together with the business, dive into the essence of key processes and create an advantage for the company in the global market using data-driven decision making. The results energize us to set the bar higher and build best-in-class BI Project. Our team is around 20 people and looking to expand. We use Tableau / Power BI as the main dashboarding tools and connect MS SQL database where we store most of the data

Responsibilities

• BI Reports Development
• Exploring the data from corporate systems and development the layer of reliable data sources together with the DWH team
• Design & development of outstanding dashboards and performing UAT with a customer
• Taking care of technical documentation that really helps customers to understand reports and allows the team to manage the content in efficient way
• Release preparation and presenting results to end-users Project management
• Take part in regular syncs with customers on backlog prioritization, blockers, and fast-tracks resolving
• Take part in collecting and merging requirements from different customer groups Development of data & analytics services
• Drive companywide projects like data catalog, self-service BI, glossary etc.
• Work on BI efficiency initiatives like access management and design excellence
• BI Governance - monitoring of background tasks (extracts, subscriptions, etc.), reports adoption & user's behavior

SKILLS

Must have

• Analyst-engineer-dashboardologist-designer - all qualities are presented and one is pronounced 2+ year hands on experience with one of BI tools such as Tableau, Qlik, Power BI, etc. Strong skills in SQL Bachelor's Degree or higher education level Strong data analysis skills Good presentation and data visualization skills Great attention to details, structured and analytical approach, critical and logical thinking

Nice to have

Practical experience with other BI tools such as Qlik, Power BI, etc.