Senior Business Intelligence Engineer, Data Analytics

A day in the life
The BI Engineer will be in charge of building a high performing analytics products relying on the native Azure Tech stack, CRM systems like SSMS, SSIS for ETL, SSAS, Databricks, Power Bi, Synapse analytics, Python.

The role will focus on performance optimization and data governance.The BIE will drive the development of reporting and analytics across the global portfolio of businesses and processes; and produce data, reports and analyses for decision making, metrics management and more.

The role will be savvy at the use of BI tools like Power Bi, Synapse analytics and Databricks architect and build the pipeline towards it. The BIE will optimise user experience by creating excellent visualisation performance.

Requirements

Key job responsibilities

• Build scalable analytics solutions leveraging the defined tech stack
• Optimize and organize data pipelines into the visualization environment
• Collaborate with business users on requirements, objectives and measures
• Access large scale data and use analytical tools
• Provide input and recommendations on technical issues to data engineering and software engineering teams
• Contribute to data design, data modelling and data extracts/transforms
• Work in a genuinely global environment, across various functional teams
• Own the governance of global areas of data and metrics
• Build and manage Tableau workbooks

Basic Qualifications

• 6+ years of analyzing and interpreting data with SQL Database, Oracle, NoSQL etc. experience
  
• Should be Hihgly proficient with Writing Complex queries in SQL,
  
• Experience in SSRS and Power BI Report Builder.
  
• Good skills in databases (SQL Server / Oracle / MySQL / DB2) and expertise in writing SQL queries.
  
• Experience working with high volume databases and MPPs.
  
• Experience with the preparation of data (e.g., data profiling, data cleansing, volume assessment and partitioning, etc.).
  
• Working knowledge of scripting languages like Perl, Shell, Python is desirable.
  
• Hands-on Data engineering knowledge and working of ETL tools like Databricks, SSIS etc.
  
• Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools
  
• Experience of working in BI platform migration project(s)

Preferred Qualifications

• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

Benefits

We offer

• Flexible working hours (self-managed)
• Competitive salary
• Annual bonus, subject to company performance
• Access to Udemy online training and opportunities to learn and grow within the role

At Mindera we use technology to build products we are proud of, with people we love. Software Engineering Applications, including Web and Mobile, are at the core of what we do at Mindera. We partner with our clients, to understand their product and deliver high performance, resilient and scalable software systems that create an impact on their users and businesses across the world.

You get to work with a bunch of great people, where the whole team owns the project together. Our culture reflects our lean and self-organisation attitude. We encourage our colleagues to take risks, make decisions, work in a collaborative way and talk to everyone to enhance communication. We are proud of our work and we love to learn all and everything while navigating through an Agile, Lean and collaborative environment.

Check out our Blog: http://mindera.com/ and our Handbook: http://bit.ly/MinderaHandbook

Our offices are located: Porto, Portugal | Aveiro, Portugal | Coimbra, Portugal | Leicester, UK | San Diego, USA | Chennai, India | Bengaluru, India

Mindera is an equal opportunity employer and does not discriminate on the basis of age, disability, gender including gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other protected status. All matters related to employment are decided on the basis of qualifications, merit and business need.