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Data Analyst

Hybrid
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As a Data Analyst, you will play a vital role in developing business management reports and dashboards that provide valuable insights to our clients. By extracting and analyzing data from various information systems, you will help our clients make data-driven decisions and improve their overall performance. You will be responsible for leading the data analysis process, including data cleaning, data manipulation, and data visualization. You will also collaborate with the clients to understand their specific needs and tailor our solutions to meet their unique requirements.

In this role, you will have the opportunity to work with cutting-edge technologies and be part of a dynamic and passionate team. You will have the opportunity to continuously develop your skills and advance your career in a fast-paced and challenging environment.

As a Data Analyst, you will be responsible for leading the data analysis process, from data extraction to data visualization. You will work closely with our clients to understand their specific needs and tailor our solutions to meet their unique requirements.

Disclaimer: It is important to note that this job description is a guide to the work you will undertake. It may be changed from time to time to meet the needs of the service. It does not form part of your contract of employment.

Purpose of job:

Data Audit and Preparation

  • Audit and validate source data from various sources including relational databases, flat files, and internet resources.
  • Use tools like DB Schema to reconstitute source databases and implement ETL (SSIS or Talend Open Studio) to import data into relational tables.
  • Audit data using SQL or Python scripts to identify abnormal values, blanks, missing foreign keys, etc.

ETL Development and Deployment

  • Develop a complete production ETL using SSIS or Talend Open Studio.
  • Create test, acceptance, and production target databases with ODS, Data Warehouse, and Data Marts.
  • Industrialize the deployment process between environments using scripts.
  • Create and deploy tests with datasets containing standard errors, in the case of flat files.
  • Extract data for a first recipe with the customer.

Report and Dashboard Development

  • Create data recipe reports with simple measurements and mount them in visual tables or recipe cards.
  • Create final reports with the measurements requested by the client and a final layout.
  • Deploy reports in a Power BI Service Pipeline. 2023-04 – Data Analyst

Collaborative Monitoring and Knowledge Sharing

  • Identify and share with the team articles, videos, or posts of interest for the activity.
  • Stay up to date with the latest trends and developments in the field and share this knowledge with the team.

Overall Responsibilities:

  • Identify and share with the team articles, videos, or posts of interest for the activity.
  • Contribute to the achievement of company goals and objectives.
  • Ensure compliance with regulatory and legal requirements.
  • Identify and implement process improvements to increase efficiency and productivity.
  • Provide regular reports and analysis to support decision-making.
  • Manage and maintain accurate and up-to-date records and data.
  • Continuously develop knowledge and skills in relevant areas.
  • Spend some time in our academy as an instructor and mentor for our students.
  • Adhere to company values and promote a positive working environment.
  • Take ownership and accountability for assigned tasks and responsibilities.
  • Lead by example and promote a culture of teamwork and collaboration.

Please note: Only shortlisted candidates will be contacted for further steps. We value diversity and strive to create an inclusive environment for all our employees.

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