Senior Data Analyst/ Data Engineer

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Written by AI from the job title and company, not by Conexess Group, so some details may not match this job. The employer's own page has the real description.

Overview

The Senior Data Analyst/Data Engineer at Conexess Group will play a pivotal role in driving data-driven decision-making processes across the organization. The successful candidate will be responsible for transforming raw data into actionable insights, designing and maintaining robust data infrastructure, and facilitating data analytics that support strategic business objectives. This role will require collaboration with cross-functional teams to ensure that data is accurately collected, processed, and analyzed, thereby enhancing operational efficiency and business performance.

Job Responsibilities

• Design, implement, and maintain ETL processes and data pipelines to support analytical needs.
• Analyze and interpret complex datasets, providing insightful recommendations to stakeholders.
• Collaborate with data teams to develop data models and visualizations that meet business requirements.
• Ensure data quality and integrity by implementing rigorous data validation protocols.
• Conduct exploratory data analysis to identify trends and patterns that inform strategic decisions.
• Work closely with IT teams to manage and secure data architecture.
• Document data processes, methodologies, and business intelligence solutions for future reference.
• Stay updated with the latest developments in data engineering and analytics technologies.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field; Master's degree is preferred.
• 5+ years of experience in data analysis, data engineering, or a related field.
• Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
• Experience with data warehousing solutions and ETL tools (e.g., Talend, Apache NiFi).
• Familiarity with programming languages such as Python or R.
• Strong analytical and problem-solving skills, with attention to detail.
• Ability to communicate technical information to non-technical stakeholders effectively.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.

Technologies & Tools

The Senior Data Analyst/Data Engineer will utilize a variety of technologies and tools, including but not limited to SQL for database management, Python for data manipulation and analysis, ETL tools like Talend, and data visualization platforms such as Tableau or Power BI. Familiarity with cloud-based data solutions (e.g., AWS, Azure) will also be beneficial in performing data governance and analytics tasks effectively.

Ideal Candidates

Ideal candidates for this position will be highly analytical individuals with a strong quantitative aptitude and a passion for transforming data into insights. They should demonstrate excellent communication skills, allowing them to bridge the gap between technical data findings and business implementation. A proactive approach, strong attention to detail, and the ability to work collaboratively in diverse teams are essential attributes that will contribute to success in this role. Candidates with a continuous learning mindset and adaptability to emerging technologies are especially well-suited for this dynamic position.