AQMetrics is looking for a data Integration and Data Operations Analyst to work with customers and cross functional teams at AQMetrics to continuously improve our data management capabilities in our SaaS platform. This is an opportunity to make a difference in a growing company. We are expanding our business at a rapid pace. We're looking for sharp, energetic and detail-oriented people who are passionate about database solutions that transform the status quo and data integration techniques that make it possible. This is an important role with full access to our datahub and data mapping software.
We're looking for an entrepreneurial individual who thrives on challenges and is looking for an opportunity to take AQMetrics data management products to the next level.
Who We Are:
AQMetrics is a leading provider of regulatory risk software to global financial institutions. Our SaaS platform is award-winning, and our range of products make regulatory risk management simple, secure, and globally compliant.
What We Value:
People First
Putting people first is at the core of everything we do. It compels us to make decisions based on what is best for our people — employees, partners, and customers.
Customer Delight
We are customer focused. We strive to provide the best in class, to drive great customer experience through teamwork and high performance.
Integrity
We are committed to professional integrity. We conduct our business to the highest standards with skill, diligence and responsibility. Professional trust, honesty and compliance are at the core of our culture.
Innovation
We value ideas and encourage innovation every day.
What you will do:
* Designing and Developing: Creating data integration processes using ETL tools and technologies.
* Collaborating with Teams: Working with cross-functional teams to gather data requirements and understand data sources.
* Ensuring Data Quality: Implementing data quality checks and validation processes to maintain data integrity.
* Monitoring and Troubleshooting: Overseeing data integration workflows to resolve issues and optimize performance.
* Documenting Processes: Keeping detailed documentation of data integration processes, data flows, and system configurations.
* Maintaining the AQMetrics database.
* Staying Informed: Keeping up with industry trends and best practices in data integration and management.
* Providing Support and Training: Assisting end-users with data integration
Requirements
* 2+ years in a Data Integration role
* Experience working collaboratively with application development teams to implement data mapping, data management and data integration solutions
* Good knowledge of SQL and database related technologies
* Experience troubleshooting database and data issues using SQL
* Good experience with data visualization tools
* Strong critical thinking skills and ability to analyse complex datasets
* Prioritisation skills
* Focus on continuous improvement
* Storytelling skills. You can communicate your insights to your team, cross functionally and to Customers
* Linux experience and Shell scripting
* Experience with Amazon AWS and RDS
* BSc in Computer Science or Engineering degree, related technical discipline, or equivalent work experience
Benefits
* Opportunity to be part of something special, AQMetrics is growing and we want you to be part of our journey
* People-centric culture
* Competitive salary
* Upskilling opportunities
* Employee Assistance Programme
* Pension scheme
* Healthcare for employees and their families
* Flexible working
* Bike to Work scheme
* Active social club with events throughout the year
What our Interview Process is Like:
Step 1- After you apply, our HR Manager may reach out to you for an introductory call
Step 2- If your background is a match for the role, you may be required to complete a technical assessment (role depended) and/or phone interview with 1-2 people
Step 3- If you continue through the process, you may be asked to come onsite to interview
AQMetrics is an equal-opportunity employer. We are committed to an inclusive and diverse AQMetrics.