Job description

Company culture :

Cnexia Tech is driven by a culture strongly focused on performance and competitiveness, where ambition, challenge and measurable results are key drivers of success. This dynamic is complemented by a collaborative dimension, promoting trust, teamwork and close managerial support. It also integrates an innovation component that encourages initiative, adaptability and experimentation in a fast-evolving technological environment. Finally, a structured organizational culture underpins the whole by ensuring process rigor, reliability and operational efficiency.

Data Extraction, Preparation and Transformation:

• Writing SQL queries to extract data from various sources
• Cleaning, transforming, and validating raw data to ensure accuracy, completeness, and consistency for analysis; creating report and driving resolutions for data quality issues
• Performing data wrangling to structure datasets for specific analytical tasks.
• Developing data transformation process based on business rules

Data Analytics and Business Analytics

• Analyzing customer profile data, researching business processes and identifying how process and segmentation rules drive customer classifications
• Identifying anomalies in customer classifications, inconsistencies in business processes and data; performing deepdives to uncover the root causes
• Creating recommendations to address customer profile anomalies and process / data inconsistencies

Reporting and Visualization:

• Communicating findings, trends, and recommendations to stakeholders through clear presentations and written reports.
• Ad-hoc analysis to answer specific business questions from various stake holders

Collaboration and Stakeholder Management:

• Working closely with business teams to understand their data needs and translate them into analytical requirements.
• Presenting findings and insights to management and cross-functional teams to support data-driven decision-making.

• University or college degree in engineering, computer sciences, physics, mathematics or relevant experience in an equivalent domain
• Excellent communication skills in English
• Minimum of 3+ years’ as a Business Data Analyst or similar role
• Advanced Excel skills
• Fully proficient SAS & SQL
• Business analytics / data analytics / financial modeling / business casing / performance reporting 
• Solid knowledge in data structure; strong data reconciliation skills; strong data QA skills 
• Strong Powerpoint skills