Our data team has expertise across engineering analysis architecture modeling machine learning artificial intelligence and data science. This discipline is responsible for transforming raw data into actionable insights building robust data infrastructures and enabling datadriven decisionmaking and innovation through advanced analytics and predictive modeling.
As a data analyst at Endava you will:
- Figuring out what the underlying business problems are and how to understand them with data.
- Turning data into charts and graphs to explain insights.
- Quantifying the significance of observed patterns and trends.
Qualifications :
- Demonstrated experience in Storytelling with data.
- Proficient in visualization tools such as PowerBI or Tableau
- Proficient in SDLC (Planned Iterative Agile).
- Excellent spoken and written English language skills.
- Solid understanding of programming languages.
- Solid knowledge of big data technologies.
- Solid experience in large international projects working with multicultural teams.
- Experience working with Jupyter Notebook Pandas Matplotlib
Additional Information :
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package share plan company performance bonuses valuebased recognition awards referral bonus;
- Career Development: Career coaching global career opportunities nonlinear career paths internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects rotations internal tech communities training certifications coaching online learning platforms subscriptions passiton sessions workshops conferences;
- WorkLife Balance: Hybrid work and flexible working hours employee assistance programme;
- Health: Global internal wellbeing programme access to wellbeing apps;
- Community: Global internal tech communities hobby clubs and interest groups inclusion and diversity programmes events and celebrations.
At Endava were committed to creating an open inclusive and respectful environment where everyone feels safe valued and empowered to be their best. We welcome applications from people of all backgrounds experiences and perspectivesbecause we know that inclusive teams help us deliver smarter more innovative solutions for our customers. Hiring decisions are based on merit skills qualifications and potential. If you need adjustments or support during the recruitment process please let us know.
Remote Work :
No
Employment Type :
Fulltime