DysrupIT ir mākoņpakalpojumu un IT risinājumu uzņēmums, kas palīdz organizācijām modernizēt tehnoloģijas un pāriet uz pakalpojuma principā balstītiem darbības modeļiem. Uzņēmuma darbība aptver uzņēmumu mākoņrisinājumus, pārvaldītos pakalpojumus, lietojumprogrammu izstrādi, kiberdrošību, kā arī datu analītiku un informācijas pārvaldību. Tas atbalsta gan mazas un vidējas organizācijas, gan starptautiskus uzņēmumus. Sadarbojoties ar Microsoft un citām mākoņplatformām, DysrupIT apvieno tehnisko izpildi ar talantu attīstīšanu, ieguldījumu kopienā un ilgtermiņa partnerībām, lai veidotu drošas un mērogojamas tehnoloģiju vides, kas atbilst uzņēmējdarbības vajadzībām.
Data Analyst
Guide data management, quality, modelling and integration initiatives for DysrupIT’s technology consulting clients. Help teams build reusable data products and strengthen data governance.
Apraksts
- Gather stakeholder requirements and understand how the business uses data to support its processes and strategic objectives.
- Guide business and delivery teams on data management for data foundation initiatives and data product development.
- Review current data management processes, practices and tools, and help define future needs.
- Contribute to the design of shared information models.
- Identify data quality issues in workflow solutions and drive mitigation efforts.
- Recommend suitable data integration patterns, modelling approaches and data quality practices.
- Maintain and share knowledge of requirements, key data types, definitions, stores and data creation processes.
- Serve as a data subject matter expert for delivery teams, guiding data management, quality and foundation initiatives.
Prasības
- Familiarity with tools and technologies such as Azure SQL, Python and Power BI.
- Experience with data catalogue and lineage tools such as Microsoft Purview.
- Strong data fluency and understanding of data modelling techniques.
- Ability to select and apply data visualisation methods suited to different audiences.
- Foundational knowledge of Information Risk Management (IRM).
- Knowledge or experience in cloud computing, data collection, cleaning and preparation, business process and data modelling, data strategy, policies and governance.
- Proven ability to connect stakeholder groups, including IT and business, to gather, clarify and communicate requirements, align goals and expectations, and deliver work products.
- Knowledge or experience with finance data is an advantage.
- Experience with SAP is an advantage.
Priekšrocības
- Compensation package based on experience.
- Government-mandated benefits.
- Supplemental HMO coverage.
- Collaborative, professional work environment.
- Career development opportunities within a growing organization.
- Hybrid work arrangement.
- Training and support for career development.