Business Information Analyst #140777
- Recruiter
- Credit Suisse
- Location
- Poland-Wroclaw
- Salary
- Competitive salary
- Posted
- 31 Oct 2019
- Closes
- 30 Nov 2019
- Ref
- 140777
- Job role
- Business analyst
- Contract type
- Permanent
- Hours
- Full time
Credit Suisse is a leading global wealth manager with strong investment banking capabilities. Headquartered in Zurich, Switzerland, we have a global reach with operations in about 50 countries and employ more than 45,000 people from over 150 different nations. Embodying entrepreneurial spirit, Credit Suisse delivers holistic financial solutions to our clients, including innovative products and specially tailored advice. Striving for quality and excellence in our work, we recognize and reward extraordinary performance among our employees, provide wide-ranging training and development opportunities, and benefit from a diverse range of perspectives to create value for our clients, shareholders and communities. We are Credit Suisse.
We Offer
Management & Business Information Services Operations is looking for an experienced professional for the position of Business Information Analyst in Data Quality Management team.
Using tailor-made applications and based on the data fed into BI systems we analyse financial trends taking into account different data providers and Bank’s services and products. Working in close collaboration with our key partners based in Switzerland we provide top management reports and solutions to maintain quality of provided data. We continuously strive to work in an efficient and effective manner. Therefore, we use our experience in and knowledge of operational excellence methods to launch and support wide scope of projects. Your main responsibility will be analysis and reporting of the financial data deviations, data quality analysis as well as technical maintenance of quality assurance solutions.
The role within Data Quality Management team involves:
- Financial data analysis and reporting
- Data quality assurance and analysis
- Process optimization, automations and tools production
- Out of box thinking, conceptual work with process improvements
- Managing partners and ensuring the best service possible
- Support team, sector with workload and having an effective collaboration with peers
You Offer
- University master degree (Math or Finance specialization will be an asset)
- Minimum 3 years of experience in Financial Institution/Multinational company is essential
- Ability to work with large datasets (SQL would be an additional asset)
- Proficiency in Excel (VBA would be an additional asset)
- Analytical thinking and conceptual approach
- Outstanding written and verbal communication skills in English
- Strong interpersonal skills and attention to details
- Ability to manage work independently and take initiative
Our benefit
- Private medical care
- Life insurance for employees and additional insurance options available for family members
- Pension plan
- Charity days
- Training and development
- Internal Mobility
Other optional
- Language training course
- Mentoring
- Family – nursery and kindergarten funding, gift vouchers for Christmas
- Parking allowance
- Health promotion: Multisport card, sporting events and groups within Credit Suisse (skiing trips, football team, running team, tennis training course etc.)
- Employee discounts on various products and services (event tickets, consumer products, etc.)
- Relocation package
- Employee Referral Program
- Flexible work schedule and working from home (home office)
Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a competitive advantage in the global marketplace and drives our success. Credit Suisse is committed to providing equal employment opportunities, regardless of ethnicity, nationality, gender, sexual orientation, gender identity, religion, age, civil partnership, marital or family status, pregnancy, disability or any other status that is protected as a matter of local law.
For further information, and to apply, please visit our website via the “Apply” button below.