Data-Senior Data Analyst
Data-Senior Data Analyst
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1 Vacancy
Job Description
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 I will be able to
1 Business Questions: Figuring out what the underlying business problems are and how to understand them with data.
2 Visualisation: Turning data into charts and graphs to explain insights.
3 Statistics: Quantifying the significance of observed patterns and trends.
4 Deep Domain Knowledge (Advanced): Understanding industry drivers.
Typical output: Presentations to inform a management decision.
Typical Technologies: Jupyter Notebook Pandas Matplotlib
Typical Degree: Business Economics Psychology Anything.
A good data analyst should be able engage with these questions:
1 How do you identify what business problems are the most important to address
2 What makes an effective plot or chart
3 Explain the difference between a sample and a population. How does that matter when applying the Central Limit Theorem
4 Explain what matters in your chosen industry in 50 words.
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.
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.
Our diversity makes us stronger it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us regardless of background identity or personal characteristics feels valued respected and free from discrimination. As an equal opportunity employer we welcome applications from all individuals and base hiring decisions on merit skills qualifications and potential.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
