Senior Data Analyst

4 weeks ago

Dublin, Ireland NTT DATA Services Full time

NTT DATA Services strives to hire exceptional, innovative, and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

                                            

Summary

You will play a critical role in driving informed decision-making processes by analyzing complex data sets and transforming raw data into actionable insights. The ideal candidate should possess a strong analytical mindset, exceptional problem-solving capabilities, and a solid understanding of financial metrics. Your responsibilities will include developing and maintaining dashboards, conducting in-depth market research, performing trend analysis, and collaborating with cross-functional teams to ensure data integrity. This role requires a deep-seated proficiency in data visualization tools and statistical analysis software, as well as a robust ability to communicate findings effectively to stakeholders.

 

Responsibilities

  • Work with Data scientists/Business Analysts/Product Owner to understand MI and dashboard requirements.
  • Design Data Solutions: Leverage your analytical skills to design innovative data solutions that address complex business requirements and drive decision-making.
  • Create detailed field level mappings as needed for different MI Dashboards.
  • Develop and maintain comprehensive dashboards to visualize key performance indicators.
  • Conduct market research and trend analysis to inform strategic business decisions.
  • Collaborate with cross-functional teams to ensure data accuracy and integrity.
  • Identify and recommend process improvements based on data analysis findings.
  • Prepare detailed reports and presentations on analytical findings for stakeholders.
  • Stay updated on industry trends, data analysis techniques, and best practices.

 

Requirements

  • Bachelor’s degree in computer science, Information Technology, or a related field; advanced degree preferred.
  • Minimum of 8+ years of experience in data engineering or a similar role.
  • Experience in the Pydata stack: Pandas, Numpy.  And Knowledge of data modelling in Python and Excel
  • Intermediate Excel skills: countifs, sumifs, pivot table.
  • Strong proficiency in statistical analysis software and data visualization tools such as Tableau, Power BI, or similar.
  • Knowledge of relational database technologies such as Teradata, Oracle and Microsoft SQL with strong SQL execution and optimisation skills.
  • Excellent documentation, report writing & presentation skills.

About NTT DATA

NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com

NTT DATA is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.

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