Пълно описание
Primary responsibilities (not limited to)
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Define and lead business improvement projects
- Liaise with business heads and other management on reporting optimizations and process improvement initiatives
- Consult management on data and analyzes associated with business goals, KPIs and benchmarks
- Validate, manipulate, and perform exploratory data analysis on datasets
- Review, refine and document business requirements and processes
- Drive efficiency by designing and delivering tool enhancement and automation
- Analyze and test new data sources for availability and quality, and integrate with internal sources
- Closely work with the rest of the Data Science and Analytics department: Data Science and Data warehouse teams
- Share knowledge and expertise with other team members to enable continued team skills development
Requirements
Required:
- Superset, Tableau, SQL programming, Data Processing / Data Analysis / Data Mining / Data Manipulation / Data Extraction experience;
- Strong problem-solving skills with an emphasis on product development;
- Proactiveness;
- Strong interest to dig into big data and create meaningful insights that will drive business decisions;
- Excellent written and verbal communication and documentation skills;
- A team player who is detail-oriented with a high level of organizational skills and the ability to maintain confidentiality, multi-task, determine priorities and meet deadlines on time in a fast-paced business environment;
- A self-starter with the ability to work with minimal supervision;
- Ability to translate business needs into technical specifications;
- Strong project management, presentation, and organization skills
Preferred but not mandatory:
- Advanced Microsoft Excel Skills – Macros / Automation;
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.;
- Additional programming languages (VBA, Python);
- Some experience querying databases and using statistical computer languages: R, Python
Working Hours: 40/week, Monday–Friday. Hybrid: 3 days in-office.
Please submit your CV in English. Only shortlisted candidates will be contacted for an interview.
All Stratos Support EAD employees must be eligible to work in Bulgaria.
Prior to submitting your resume, please review the company’s website thoroughly at https://www.tradu.com/uk/
Company Description Tradu is a new multi-asset global trading platform and is part of the Stratos group of companies. Tradu, built by traders for traders, provides the most sophisticated traders with a serious platform that allows them to move easily between asset classes such as stocks, CFDs and crypto, depending on the regulations that govern the trader’s market.
Equal Opportunity Employer