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- Tasks: Analyse complex data sets and create visualisations to drive business decisions.
- Company: Join HCLTech, a global tech leader with over 220,000 employees across 60 countries.
- Benefits: Enjoy remote work options, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a dynamic team shaping the future of technology and data solutions.
- 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 talent.
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
Network with professionals in the data analysis field, especially those who work at HCLTech or similar companies. Attend industry events, webinars, or meetups to connect with potential colleagues and learn more about the company culture.
✨Tip Number 2
Showcase your technical skills by working on personal projects or contributing to open-source projects that involve data analysis, statistical modelling, or data visualisation. This will not only enhance your portfolio but also demonstrate your passion and expertise.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis techniques and tools relevant to the role. Be ready to discuss your experience with programming languages like Python, R, or SQL, and how you've applied them in real-world scenarios.
✨Tip Number 4
Familiarise yourself with HCLTech's projects and clients in various sectors. Understanding their business needs and how your skills can contribute to their success will help you stand out during the interview process.
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 Compelling Cover Letter: Write a cover letter that showcases your understanding of HCLTech's industry and how your background aligns with their needs. Mention your experience with cloud-based data solutions and any relevant certifications to stand out.
Showcase Technical Skills: In your application, emphasise your proficiency in programming languages like Python, R, or SQL. Provide examples of how you've used these skills in previous roles to solve complex data problems.
Highlight Collaboration Experience: Since the role involves collaboration with cross-functional teams, include examples of past experiences where you worked effectively with business stakeholders, data scientists, or IT teams. This will demonstrate your ability to communicate technical concepts to non-technical audiences.
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.
✨Demonstrate Data Visualisation Expertise
Since the role requires strong data visualisation skills, bring examples of dashboards or reports you've created. Discuss the tools you used and how your visualisations helped inform business decisions.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities in data analysis and statistical modelling. Practice articulating your thought process and the methodologies you would use to tackle complex data sets.
✨Communicate Clearly with Non-Technical Stakeholders
Given the need to communicate technical concepts to non-technical stakeholders, practice explaining your work in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
