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For Companies At a Glance
- Tasks: Analyse complex datasets and manage project requirements to drive impactful data solutions.
- Company: Join a forward-thinking consultancy that values engineering excellence and empowers its team.
- Benefits: Enjoy remote work options, wellness activities, and a supportive employee wellbeing programme.
- Why this job: Make a real difference in data transformation while working with a fun, stable team.
- Qualifications: Experience with data analysis, Python, and cloud platforms; familiarity with Agile methodologies is a plus.
- Other info: We prioritise your wellbeing with flexible arrangements and opportunities for personal projects.
The predicted salary is between 43200 - 72000 £ per year.
We are a new generation consultancy based across UK and EU and founded on the premises of engineering excellence and empowering people to make an impact. All our consultants have equity in the company, genuinely love what they do and are really good at it.
We work with all modern tech stacks and typically run agile scrum on all our projects.
About you
Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you.
Your key skills and capabilities:
- Gathering and documenting business and project requirements
- Managing stakeholders of differing levels
- Analysing and profiling large and complex datasets
- Managing a team backlog using tools like Jira or Azure DevOps
- Agile ways of working
- Familiar with Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) systems
- Creating conceptual, logical and physical data models
- Creating mapping specifications for data migrations
- Coordinating User Acceptance Testing (UAT) with business stakeholders
- Knowledge of Python (pandas)
- Experience with Cloud platforms
- Creating data dashboards using Tableau, PowerBI or Qlik and storytelling
We expect you to work closely with the business to understand their current data problems, pain points, and to know how to analyse and cleanse their data. Also, we expect you to design data storage solutions and be a good communicator with your technical team.
Our promise to you
We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbaticals, and the ability to work on personal projects.
We believe that a gelled team is worth its weight in gold – we will do everything we can to avoid breaking well-performing teams – your team will be stable across different projects and you will work with people you trust and like.
We are committed to prioritising the wellbeing of our employees. To fulfill this promise, we provide a comprehensive employee wellbeing program that includes mental health support, flexible working arrangements, wellness activities, and a positive work culture.
We recognise that the world of tech delivery has moved on significantly in the last 15 years and know a thing or two about how to bring projects over the line without experiencing lots of despair and burn-out. In fact, we like to believe that our projects are the opposite of that – they are run smoothly and most of the time are fun to work on.
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Senior Data Analyst employer: (EDO) Entertainment Data Oracle, Inc.
Contact Detail:
(EDO) Entertainment Data Oracle, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in data analytics and cloud platforms. Being well-versed in tools like Python, Tableau, and PowerBI will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the data analytics community, especially those who work in consultancy. Engaging in conversations about their experiences can provide valuable insights and may even lead to referrals for job openings.
✨Tip Number 3
Prepare to discuss real-world examples of how you've used data to solve complex problems. Be ready to share specific instances where your analysis made a significant impact, as this will resonate well with our focus on transformational data powers.
✨Tip Number 4
Showcase your understanding of agile methodologies and tools like Jira or Azure DevOps. Highlighting your experience in managing backlogs and coordinating with teams will align perfectly with our working style and expectations.
We think you need these skills to ace Senior Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your data analysis capabilities, familiarity with OLTP and OLAP systems, and any experience with tools like Tableau or PowerBI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and how you can make a difference in the role. Mention specific projects where you've successfully managed stakeholders or analysed complex datasets.
Showcase Technical Skills: In your application, emphasise your proficiency in Python (especially pandas) and your experience with cloud platforms. Provide examples of how you've used these skills in previous roles to solve data-related problems.
Highlight Team Collaboration: Since the role involves working closely with teams, include examples of how you've effectively communicated with technical teams and coordinated User Acceptance Testing (UAT) with business stakeholders in past projects.
How to prepare for a job interview at (EDO) Entertainment Data Oracle, Inc.
✨Show Your Passion for Data
Make sure to express your enthusiasm for data and its transformative potential during the interview. Share specific examples of how you've used data to drive decisions or solve problems in previous roles.
✨Demonstrate Agile Experience
Since the company values agile methodologies, be prepared to discuss your experience with agile practices. Highlight any projects where you successfully managed a team backlog using tools like Jira or Azure DevOps.
✨Prepare for Technical Questions
Brush up on your knowledge of OLTP and OLAP systems, as well as your skills in Python and data visualisation tools like Tableau or PowerBI. Be ready to answer technical questions that assess your ability to analyse and manage complex datasets.
✨Emphasise Communication Skills
The role requires strong communication with both technical teams and business stakeholders. Prepare examples that showcase your ability to coordinate User Acceptance Testing (UAT) and gather requirements effectively from diverse stakeholders.
