Сучасна диджитал-освіта для дітей — безоплатне заняття в GoITeens ×
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth.
19 січня 2022

Senior Data Analyst (вакансія неактивна)

Київ, віддалено

Our partner is the leading digital and marketing solutions provider for the electrical industry, who backed by world-renowned electrical manufacturing corporations including Schneider Electric, Signify, ABB & Nexans and have headquartered in Geneva with offices in Heidelberg, London, Milan, Stockholm, Sao Paulo & Kiev.

Looking for Senior Data Analyst.

Job Summary:

This is a hands on role for a passionate Senior Data Analyst to help the business accelerate the journey towards becoming a more data centric business. This entails establishing ’data’ as a company asset and the starting point should be undertaking a data inventory/data mapping activity to ensure there is a clear understanding of the data in this company hold today and how it is used before moving on to consider any external data that can be used to enrich the data? This is an excellent opportunity for an experienced Senior Analyst who can lead strategy using data to provide the business with insights and recommendations capable of delivering outcomes that drive transformational company’s growth at this exciting phase of the company’s evolution. Most importantly, they need the Senior Analyst to establish and embed data management initiatives and frameworks that will allow them to monetise their data, internally and externally. This role will help them put data at the centre of their business strategy, evidenced through improved decision making and the optimisation of operations as well as delivering on new data monetisation models to drive data led business outcomes.

Required Skills for this role:

  • Analytical and problem-solving skills. You understand and can help teams apply a range of methods to analyse research data and synthesise findings. You know how to engage sceptical colleagues in analysis and synthesis. You can advise on the choice and application of techniques, and can critique colleagues’ findings to assure best practice.
  • Communication skills. You know how to listen to the needs of the technical and business stakeholders and explain them to each other. You can manage stakeholders’ expectations. You are flexible and capable of proactive and reactive communication. You know how to facilitate difficult discussions with diverse senior stakeholders.
  • Data management. You understand data governance and how it works in relation to other organisational governance structures. You can participate in or deliver the assurance of a service.
  • Data modelling, data cleansing, and data enrichment skills. You can produce data models and understand where to use different types of data models. You understand different tools and can compare between different data models. You can reverse-engineer a data model from a live system. You understand industry-recognised data-modelling patterns and standards.
  • Data visualisation. You know how to use the most appropriate medium to visualise data to tell compelling and actionable stories relevant for business goals. You can present, communicate and disseminate data appropriately and with high impact.
  • Logical and creative thinking skills. You can ensure that the most appropriate actions are taken to resolve problems as they occur. You can coordinate teams to resolve problems and implement solutions and preventative measures.
  • Project management skills. You know how to share knowledge and experience of project management methodologies with others, including tools and techniques. You can define those most appropriate for the environment.
  • Quality assurance, validation and data linkage abilities. You can set up a system to get data ready for use and specify how data should be cleansed and prepared. You can bring data together from different sources and communicate the limitations of data. You know how to peer-review colleagues’ outputs to ensure quality.
  • Statistical methods and data analysis skills. You understand and can apply a range of practices. You can develop deeper expertise in a narrower range of specialisms. You can start to apply emerging theory to practical situations.

Experience needed:

  • Advanced working expertise in analytics and business information tools such as Power BI, Tableau, Domo etc. with proven history of applying tools and techniques for data analysis and data visualisation (including the use of business information tools)
  • Evidence of having identified, collected and migrated data to and from a range of systems
  • Managed, cleaned, abstract and aggregated data alongside a range of analytical studies on that data
  • Manipulated and linked different data sets
  • Summarised and presented data and conclusions in the most appropriate format for users

Desirable:

  • Someone who has set up an analytics function in a previous role,
  • Worked for a SaaS/tech company
  • Lead build and monitoring of existing and new Data Flows
  • Analyze new data requirements and design the corresponding data model improvements
  • Lead internal / external data engineers to build & maintain data pipelines from internal and external sources
  • Design conceptual and logical data models and maintain related data flow maps
  • Improve system performance by conducting tests, troubleshoot and integrate new element
  • Optimize new and current database systems
  • Define security and backup procedures
  • Sets required data quality checkpoints for monitoring ingestion of data flows
  • Validates status of all data flows under his supervision

Гарячі Analyst вакансії

Всі Analyst вакансії