Data-Senior Data Analyst
hace 2 semanas
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
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 data-driven decision-making and innovation through advanced analytics and predictive modeling.
As a data analyst at Endava, you will be able to:
- Business Questions: Figuring out what the underlying business problems are and how to understand them with data.
- Visualisation: Turning data into charts and graphs to explain insights.
- Statistics: Quantifying the significance of observed patterns and trends.
- 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 to engage with these questions:
- How do you identify what business problems are the most important to address?
- What makes an effective plot or chart?
- Explain the difference between a sample and a population. How does that matter when applying the Central Limit Theorem?
- Explain what matters in [your chosen industry] in 50 words.
- 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.
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, value-based recognition awards, referral bonus;
- Career Development: Career coaching, global career opportunities, non-linear 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, pass-it-on sessions, workshops, conferences;
- Work-Life 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, feel 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.
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