Technical Data Analyst

HCLTech
London
8 months ago
Applications closed

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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:

1. *Data Analysis*: Analyze and interpret complex data sets, including data mining, predictive analytics, and data visualization.

2. *Statistical Modeling*: Develop and maintain statistical models, including regression analysis, time series analysis, and machine learning algorithms.

3. *Data Visualization*: Create data visualizations, including reports, dashboards, and interactive visualizations.

4. *STTM*: Develop and maintain STTM solutions, including data integration, data quality, and data governance.

5. *Collaboration*: Collaborate with cross-functional teams, including business stakeholders, data scientists, and IT teams, to ensure effective delivery of data solutions.

6. *Technical Leadership*: Provide technical leadership and guidance to junior team members, including mentoring and coaching.


Requirements:

1. *Experience*: 10+ years of experience in data analysis, statistical modeling, and data visualization.

2. *Data Analysis Knowledge*: Strong understanding of data analysis, including data mining, predictive analytics, and data visualization.

3. *Statistical Modeling Knowledge*: Strong understanding of statistical modeling, including regression analysis, time series analysis, and machine learning algorithms.

4. *Data Visualization Knowledge*: Strong understanding of data visualization, including reports, dashboards, and interactive visualizations.

5. *Programming Skills*: Proficiency in programming languages, such as Python, R, or SQL.

6. *Communication*: Excellent communication skills, with the ability to communicate technical concepts to non-technical stakeholders.


Nice to Have:

1. *Certifications*: Certifications in data analysis, statistical modeling, or data visualization, such as Certified Data Analyst or Certified Analytics Professional.

2. *Cloud Experience*: Experience with cloud-based data solutions, including AWS, Azure, or Google Cloud.

3. *DevOps*: Experience with DevOps practices, such as continuous integration and continuous deployment.

4. *Agile Methodologies*: Experience with Agile methodologies, such as Scrum or Kanban.

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