Senior Data Analytics Engineer
Cognism is a market leader in international sales intelligence. Access to our premium data, has helped a wide variety of global revenue teams change their approach to prospecting, resulting in predictable and prosperous outcomes.
Following multiple successful funding rounds and the acquisition of Mailtastic (2020), an email signature solution provider, and Kaspr (2022), a Paris-based sales prospecting tool, there has never been a more exciting time to join us.
As we grow, one of our main objectives is to continue hiring individuals, who are both a professional and cultural fit for our Company. Our values are at the core of everything we do!
Our people;
- Are Nice!
- Are Collaborative. We’re in this together!
- Are Solution-Focused. For every problem, we’ve got a solution!
- Are Understanding.
- Celebrate Individual Contributors.
We are committed to creating a diverse and inclusive global workplace, which encourages you to achieve any goals you may have, while having fun along the way!
About the role:
We have a new exciting position open for the role of Senior Data Analytics Engineer.
We are looking for someone with 5+ years of experience in Data Analytics that will be responsible for modelling data to provide clean, accurate datasets so that different users within the company can work with them. The role entails transforming, testing, and documenting data.
Responsibilities:
Data Analysis and Interpretation:
- Work with cross-functional teams to understand business objectives and data requirements.
- Utilize SQL, Spark, and other relevant tools to extract, clean, and analyze large datasets efficiently.
- Translate complex data sets into actionable insights and present them in a clear and concise manner.
Business Intelligence:
- Analyze historical data to identify trends, patterns, and opportunities for improvement.
- Support ad-hoc data requests and provide insightful analysis to support various business initiatives.
Process Improvement:
- Identify opportunities to streamline data-related processes and improve efficiency.
- Collaborate with IT and data engineering teams to enhance data infrastructure and ensure smooth data flow.
Requirements
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• Proven experience as a Data Analyst, with a track record of handling complex datasets and delivering actionable insights.
• Strong proficiency in SQL for data extraction, manipulation, and querying.
• Proficiency in Spark for handling and processing large-scale data sets.
• Knowledge of data modeling, data warehousing, and data pipeline concepts.
• Strong analytical and problem-solving skills with a keen eye for detail.
• Excellent communication skills, with the ability to present technical information to non-technical stakeholders.
• Proactive and self-motivated, with the ability to work both independently and collaboratively in a team environment.
We look forward to hearing from you!
