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Data Analyst

  • By Joanna Sapeta
  • 9 November 2022
  • 301 Views

The candidate will join one of the largest banking institutions.

Your resposibilities:

⦁ Independently perform data analytics, including data mining, generation, data cleansing and data visualization of System and Application Performance data.
⦁ Transforming data into readable, goal-driven reports for continued innovation and growth.
⦁ Develop, implement, and maintain leading-edge analytic systems, taking complicated problems and building simple frameworks.
⦁ Identify trends and opportunities for growth through analysis of complex data sets.
⦁ Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for data sets.
⦁ Create best-practice reports based on data mining, analysis, and visualization.
⦁ Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data.
⦁ Work directly with management and users to gather requirements, provide status updates, and build relationships.
⦁ Suggest ideas and contribute to implementing actions that will improve governance and administration or the way teams and individuals work together.
⦁ Adhere to our client’s policy, procedures and control requirements applicable to day-to-day working, exceptional and project activities, and raise any concerns about actual or potential issues promptly, in line with reporting and escalation procedures.
⦁ Apply policies, procedures, practices and standards to their allocated tasks, taking responsibility for their own actions, to ensure the achievement of high levels of quality, effective risk management and regulatory compliance.

Requirements:

⦁ 3+ years of experience mining data as a data analyst
⦁ Proven statistical and analytic skills, including mining, evaluation, analysis, and visualization
⦁ The ability to extract and analyse data into clear and logical reports with a particular attention to detail.
⦁ Proficient in the use of the MS Office product suite including Word, Excel, PowerPoint and Outlook, particularly Excel with a knowledge of pivot tables, lookups, complex formulas, etc.
⦁ Strong knowledge of data manipulation languages such as Python, R, Spark, Scala, Apache Kafka necessary to build and maintain complex queries, streaming and real-time data pipelines
⦁ Hands-on with Data Handling, data acquisition, data transformation, and data cleaning.
⦁ Well versed with SQL and Relational Databases
⦁ Experience with data visualization using Tableau, Qlik Sense, Power BI, QuickSight, or similar tools
⦁ Experiece in Big Data with experience to handle and work with terabytes of data
⦁ Ability to communicate complex issues concisely and strong relationship management skills with the ability to manage and engage multiple stakeholders.
⦁ Understanding of end-to-end business/functional processes with industry vertical/sub vertical to be able to translate business requirements into system requirements and perform impact analysis of changes in requirements
⦁ Technical writing experience in relevant areas, including queries, reports, and presentations

Desired Skills / Experiences (NOT ESSENTIAL):

⦁ Familiarity with modern machine learning methods for regression and classification
⦁ Experience on DevOps processes and Agile methodologies – Scrum, Kanban
⦁ Experience of using Service Now, Confluence, Jira is preferred
⦁ Knowledge of Event Management tools and of Operations Automation like AIOPs is desirable
⦁ Understanding of Cloud Concepts (AWS, GCP) and AI/ML is desirable
⦁ Knowledge and Understanding of Splunk, AppDynamics, Thousand Eyes is desirable

They can offer:

  • Excellent and positive work environment
  • A stable role with a consistent set of responsibilities
  • Career development prospects within the multi-national leading financial organization
  • Private health care and employees’ benefits
    – sharing the costs of sports activities, sharing the costs of foreign language classes, sharing the costs of professional training & courses, life insurance, retirement pension plan

Note: Prepare your CV in English (PDF), fill in the form and apply! 🙂

Please include in your CV the following clause necessary for the recruitment process:

“I agree to the processing of personal data that I have made available voluntarily in the recruitment process by the Administrator of personal data, i.e. Dotcommunity Spółka z ograniczoną odpowiedzialnością [Ltd.] based in Cracow, 15 Żabiniec Street, 31-215 Cracow, registered in Poland, the Cracow’s District Court – Śródmieście, XI Commercial Division of the National Court Register under number 0000468484, VAT number: 9452174499, (“Dotcommunity”) in order to carry out the recruitment process for the Data Analyst position on the basis of Art.6 item 1a of the Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation)”.”

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    Dotcommunity is registered in the Register of Employment Agencies (KRAZ) under number 9904.