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- Tasks: Analyse complex data sets and create visualisations to drive business decisions.
- Company: Join HCLTech, a global leader in technology with over 220,000 employees worldwide.
- Benefits: Enjoy competitive pay, remote work options, and opportunities for professional growth.
- Why this job: Be part of a dynamic team that values innovation and collaboration in a fast-paced environment.
- Qualifications: 10+ years in data analysis, statistical modelling, and proficiency in Python, R, or SQL required.
- Other info: Ideal for those passionate about data and eager to mentor junior team members.
The predicted salary is between 43200 - 72000 £ per year.
HCLTech is a global technology company, home to more than 220,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, 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 12 months ending December 2024 totaled $13.8 billion.
We're looking for an experienced Technical Data Analyst with 10+ years of experience in data analysis, statistical modeling, and data visualization. The ideal candidate will have a strong background in data analysis, including data mining, predictive analytics, and data visualization. The Technical Data Analyst will be responsible for analyzing and interpreting complex data sets, developing statistical models, and creating data visualizations to inform business decisions.
Key Responsibilities:
- Data Analysis: Analyze and interpret complex data sets, including data mining, predictive analytics, and data visualization.
- Statistical Modeling: Develop and maintain statistical models, including regression analysis, time series analysis, and machine learning algorithms.
- Data Visualization: Create data visualizations, including reports, dashboards, and interactive visualizations.
- STTM: Develop and maintain STTM solutions, including data integration, data quality, and data governance.
- Collaboration: Collaborate with cross-functional teams, including business stakeholders, data scientists, and IT teams, to ensure effective delivery of data solutions.
- Technical Leadership: Provide technical leadership and guidance to junior team members, including mentoring and coaching.
Requirements:
- Experience: 10+ years of experience in data analysis, statistical modeling, and data visualization.
- Data Analysis Knowledge: Strong understanding of data analysis, including data mining, predictive analytics, and data visualization.
- Statistical Modeling Knowledge: Strong understanding of statistical modeling, including regression analysis, time series analysis, and machine learning algorithms.
- Data Visualization Knowledge: Strong understanding of data visualization, including reports, dashboards, and interactive visualizations.
- Programming Skills: Proficiency in programming languages, such as Python, R, or SQL.
- Communication: Excellent communication skills, with the ability to communicate technical concepts to non-technical stakeholders.
Nice to Have:
- Certifications: Certifications in data analysis, statistical modeling, or data visualization, such as Certified Data Analyst or Certified Analytics Professional.
- Cloud Experience: Experience with cloud-based data solutions, including AWS, Azure, or Google Cloud.
- DevOps: Experience with DevOps practices, such as continuous integration and continuous deployment.
- Agile Methodologies: Experience with Agile methodologies, such as Scrum or Kanban.
Technical Data Analyst employer: HCLTech
Contact Detail:
HCLTech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in data analysis and visualisation tools. Being well-versed in platforms like Tableau or Power BI can set you apart, especially when discussing your experience during interviews.
✨Tip Number 2
Network with professionals in the field of data analysis. Attend industry meetups or webinars to connect with others who work at HCLTech or similar companies. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Brush up on your programming skills, particularly in Python, R, or SQL. Consider working on personal projects or contributing to open-source projects to demonstrate your proficiency and passion for data analysis.
✨Tip Number 4
Prepare to discuss your experience with statistical modelling and predictive analytics in detail. Be ready to share specific examples of how you've used these skills to drive business decisions in previous roles.
We think you need these skills to ace Technical Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your 10+ years of experience in data analysis, statistical modeling, and data visualization. Use specific examples that demonstrate your skills in data mining, predictive analytics, and the programming languages mentioned in the job description.
Craft a Strong Cover Letter: In your cover letter, explain why you are a great fit for the Technical Data Analyst role at HCLTech. Mention your experience with statistical models and data visualizations, and how you can contribute to their cross-functional teams.
Showcase Relevant Projects: Include a section in your application that showcases relevant projects or case studies where you successfully applied your data analysis and visualization skills. This will help demonstrate your practical experience and problem-solving abilities.
Highlight Communication Skills: Since excellent communication skills are essential for this role, provide examples of how you've effectively communicated technical concepts to non-technical stakeholders in your previous positions. This could be through presentations, reports, or collaborative projects.
How to prepare for a job interview at HCLTech
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in programming languages like Python, R, or SQL during the interview. Be prepared to discuss specific projects where you've applied these skills, especially in data analysis and statistical modelling.
✨Prepare for Data Visualisation Questions
Since the role involves creating data visualisations, be ready to demonstrate your understanding of different visualisation tools and techniques. Bring examples of dashboards or reports you've created to showcase your ability to present complex data clearly.
✨Emphasise Collaboration Experience
Collaboration is key in this role, so share examples of how you've worked with cross-functional teams. Discuss any experiences where you communicated technical concepts to non-technical stakeholders, as this will show your ability to bridge gaps between teams.
✨Discuss Your Leadership Qualities
As the position requires providing technical leadership, be prepared to talk about your mentoring and coaching experiences. Highlight any instances where you've guided junior team members or led projects, demonstrating your capability to lead and inspire others.
