Associate Data Analyst
Convera is seeking an Associate Data Analyst with a primary focus on leveraging data, analytics and a technical skill set to support a variety of initiatives across Convera's business. You will be reporting into the Instrumentation team who are responsible for the transformation of our data, reporting and analytics, as well as the roll out of data products and machine learning models. As such, you will have the opportunity to learn from a cross functional team of analysts and data scientists.
You will be responsible for:
- Owning the end-to-end delivery of analytical models in SQL and/or Python to generate actionable data driven insights and recommendations across Convera’s business.
- The design, build and maintenance of high-quality dashboards, KPIs and visualisations to evaluate business performance.
- Supporting performance optimisation across the business by sharing data, analytical expertise, and subject matter knowledge.
- Developing automated data products to consistently drive effective insights and measurable results at scale.
- Working with other Instrumentation and technology teams to ensure that relevant data, reporting and KPIs are available within the data warehouse for organisation wide consumption.
About Convera
Convera is the largest non-bank B2B cross-border payments company in the world. Formerly Western Union Business Solutions, we leverage decades of industry expertise and technology-led payment solutions to deliver smarter money movements to our customers – helping them capture more value with every transaction. Convera serves more than 30,000 customers ranging from small business owners to enterprise treasurers to educational institutions to financial institutions to law firms to NGOs.
Our teams care deeply about the value we bring to our customers which makes Convera a rewarding place to work. This is an exciting time for our organization as we build our team with growth-minded, results-oriented people who are looking to move fast in an innovative environment.
As a truly global company with employees in over 20 countries, we are passionate about diversity; we seek and celebrate people from different backgrounds, lifestyles, and unique points of view. We want to work with the best people and ensure we foster a culture of inclusion and belonging.
We offer an abundance of competitive perks and benefits including:
- Market competitive monthly gross salary starts at 2,100 EUR
- Great career growth and development opportunities in a global organization
- A flexible approach to work (6-10 days per month in the office)
- Generous insurance (health, disability, life)
- Paid holidays, time-off, and leave policies for life events (maternity, paternity, adoption)
- Work from abroad 60 days per year
- Paid volunteering opportunities (5 days per year)
You should apply if you have:
- Degree in a technical/ quantitative field.
- 1+ years of professional experience in an analytical role(s), preferably in a B2B and/or payments environment.
- Experience with SQL for extracting and manipulating data from internal databases to develop complex analytical models.
- Experience with data visualisation tools and techniques (e.g., Tableau).
- Experience with Python and its relevant libraries for data manipulation and analysis is preferred but not mandatory.
- Experience in leveraging Python to acquire data from external sources using APIs and/or web-scraping is preferred but not mandatory.
- Demonstrable ability to clearly and concisely summarise complex concepts into consumable content (e.g., in PowerPoint) for a wide audience including senior leadership.
- A creative approach to problem-solving with a growth mindset, actively and intuitively seeking ways to identify performance improvement opportunities.
- Demonstrated commercial acumen and the ability to think strategically about a quickly growing business alongside the interest and ability to dive into tactical details.
- Strong analytical and quantitative skills; ability to use research, hard data and metrics to challenge assumptions and solve problems.
