Business Data Analyst

Business Data Analyst

Full-Time 35000 - 45000 £ / year (est.) No working from home possible
HCLTech

At a Glance

  • Tasks: Analyse data to help organisations make informed decisions and drive business growth.
  • Company: Join HCLTech, a global leader in technology with over 219,000 talented individuals.
  • Benefits: Enjoy competitive salary, health benefits, and opportunities for professional development.
  • Other info: Collaborative environment with excellent career growth opportunities across various industries.
  • Why this job: Make a real impact by translating data insights into actionable recommendations.
  • Qualifications: Proficiency in SQL, Python, and data visualisation tools; understanding of Azure and insurance data.

The predicted salary is between 35000 - 45000 £ per year.

HCLTech is a global technology company, home to 219,000+ people across 54 countries, delivering industry-leading capabilities centered on digital, engineering and cloud, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of $13+ billion.

A business data analyst is responsible for analyzing data to help organizations make informed decisions. Key responsibilities include:

  • Must have Skills: SQL, Understanding of Azure and insurance domain data.
  • Data Analysis: Collecting, cleaning, and interpreting data to identify trends and patterns.
  • Reporting: Creating reports and visualizations to present findings to stakeholders.
  • Database Management: Developing and maintaining databases and data systems.
  • Collaboration: Working closely with business teams to understand their needs and translate data insights into actionable recommendations.
  • Technical Skills: Proficiency in tools like SQL, Python, and data visualization software.

This role is crucial for driving business growth and improving operational efficiency.

Business Data Analyst employer: HCLTech

HCLTech is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a global environment with over 219,000 colleagues. With a strong focus on professional development and growth opportunities, particularly for roles like Business Data Analyst, employees can expect to engage in meaningful projects that drive innovation across various industries. Located in a vibrant tech hub, HCLTech provides access to cutting-edge technology and resources, ensuring that every team member can contribute to impactful solutions while enjoying a supportive and collaborative atmosphere.

HCLTech

Contact Details:

HCLTech Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Business Data Analyst

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on common data analysis questions and scenarios. Practice explaining your thought process when analysing data and how you’ve collaborated with teams to drive results.

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace Business Data Analyst

SQL
Azure
Insurance Domain Knowledge
Data Analysis
Data Cleaning
Data Interpretation
Reporting

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Business Data Analyst role. Highlight your SQL skills, experience with Azure, and any relevant projects that showcase your data analysis capabilities. We want to see how you can bring value to our team!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how your skills align with our needs. Don’t forget to mention your experience in collaborating with business teams – we love teamwork!

Showcase Your Technical Skills:Be sure to highlight your proficiency in SQL, Python, and any data visualisation tools you've used. We’re looking for someone who can hit the ground running, so make it clear how your technical skills will help us drive business growth.

Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at HCLTech

Know Your SQL Inside Out

Make sure you brush up on your SQL skills before the interview. Be prepared to answer questions about complex queries, data manipulation, and how you've used SQL in past projects. Practising with real datasets can help you feel more confident.

Understand the Insurance Domain

Since the role requires knowledge of the insurance domain, do some research on current trends and challenges in this industry. Being able to discuss how data analysis can impact decision-making in insurance will show that you're not just technically skilled but also industry-savvy.

Showcase Your Data Visualisation Skills

Prepare to discuss your experience with data visualisation tools. Bring examples of reports or dashboards you've created, and be ready to explain how these visualisations helped stakeholders make informed decisions. This will demonstrate your ability to translate data into actionable insights.

Collaboration is Key

Highlight your experience working with cross-functional teams. Be ready to share examples of how you've collaborated with business teams to understand their needs and how you translated those needs into data-driven recommendations. This shows that you can bridge the gap between data and business strategy.