Data Analyst - Home Based (remote) in Bristol

Data Analyst - Home Based (remote) in Bristol

Bristol Full-Time 37800 - 46200 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Analyse data and create impactful dashboards to drive business decisions.
  • Company: Join Boeing, a leader in innovation and collaboration.
  • Benefits: Competitive salary, flexible work, and extensive learning opportunities.
  • Other info: Remote role with opportunities for travel and professional development.
  • Why this job: Make a difference with data while growing your career in a diverse environment.
  • Qualifications: Experience with BI tools, SQL knowledge, and a passion for data science.

The predicted salary is between 37800 - 46200 £ per year.

At Boeing, we innovate and collaborate to make the world a better place. From the seabed to outer space, you can contribute to work that matters with a company where diversity, equity and inclusion are shared values. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth.

The Boeing Defence UK Analytics team are an agile team based out of Bristol, delivering data warehouse, rapid prototyping in Tableau and the configuration and the deployment and uptake of Enterprise analytic tools. The team size is currently 18 and managed by a Data Analytics Manager and a Programme Manager. Business travel within the UK and overseas will be required, including occasional overnight stays.

Responsibilities

  • Development of Business Intelligence information models, dashboards, metrics and reports, utilizing standard technologies and methodologies that meet business objectives.
  • Combining programming, SQL skills, best practices and business expertise to deliver efficient and scalable Business Intelligence solutions to improve business productivity and business outcomes.
  • Foster a work environment that encourages business innovation and strong customer relationship management.
  • Training and support to graduates and early careers.

Essential Skills and Experience

  • Hands on experience with BI/visualisation tools (e.g Tableau) and developing and automating reporting / analytics.
  • An interest in data and data science techniques including data science and machine learning.
  • An inquisitive mindset and a desire to develop solutions to problems using innovative thinking.
  • An awareness of data warehousing, ETL Solutions and data pipeline architecture.
  • General SQL knowledge.

Candidates must have current legal authorisation to work immediately in the United Kingdom. Boeing will not attempt to obtain Immigration and labour sponsorship for any applicants.

Benefits

  • Competitive salary and annual incentive plans.
  • Continuous learning - you’ll develop the mindset and skills to navigate whatever comes next.
  • Success as defined by you - we’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
  • Diverse and inclusive culture - you’ll be embraced for who you are and empowered to use your voice to help others find theirs.
  • 23 days plus UK public holidays and a Winter Break between Christmas and New Year.
  • Pension Plan with up to 10% employer contribution.
  • Company paid BUPA Medical Plan.
  • Short Term Sickness: 100% pay for the first 26 weeks.
  • Long Term Sickness: 66.67% of annual salary from 27th week.
  • 6x annual salary life insurance.
  • Learning Together Programme to support your ongoing personal and career development.
  • Access to Boeing’s Well Being Programs, tools and incentives.
  • 6 weeks paternity leave.

Security Clearance: This position requires the ability to obtain a UK security clearance.

Relocation: This position does not offer relocation. Candidates must live in the immediate area or relocate at their own expense.

Data Analyst - Home Based (remote) in Bristol employer: Boeing

Boeing Defence United Kingdom Limited is an exceptional employer, offering a dynamic work environment in Bristol that fosters innovation and collaboration. With a strong focus on employee well-being, the company provides a comprehensive benefits package, including competitive salaries, generous leave policies, and robust professional development opportunities. Join a diverse and inclusive culture where your contributions are valued, and you can make a meaningful impact in the aerospace and defence sector.

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Contact Details:

Boeing Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Analyst - Home Based (remote) in Bristol

✨Get Involved in Data Science Meetups

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Boeing.

✨Apply Directly through Our Website

When you find a suitable opening like Data Analyst - Home Based (remote) at Boeing, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Analyst - Home Based (remote) in Bristol

Business Intelligence
Tableau
SQL
Data Warehousing
ETL Solutions
Data Pipeline Architecture
Data Science Techniques

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Boeing, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Boeing. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Boeing

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Boeing!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.