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Data Technical Analyst

  • By Barbara Rusek
  • 15 December 2022
  • 380 Views

Responsibilities:

The Technical Analyst is responsible for helping the DCOO & Procurement functions make better decisions and drive mission critical business outcomes through unlocking business insights from data through collection of data requirements and analysis of data.  Ensures business data and analysis requirements are met by applying industry standard data concepts and governance, including data structures, collection and cleansing, and structured and unstructured data analysis and reporting. Proficient in data collection, analysis, manipulation and use of data visualisation techniques.

This role carries a niche requirement in terms of expertise in business analysis, ETL techniques & data visualization using tools such as QlikSense. This role shall bridge the gap between technical roles (e.g. data engineers) and business roles (e.g. business analysts) and will work across multiple projects simultaneously. The role will be responsible for analysing data, modelling data, documenting business data requirements and develop data specifications to enable data engineers to build models and data pipelines, and oversee test and implementation of data products to production. This role will work closely with Strategic Procurement teams, IT, Data Architecture & Data Visualization specialists to ensure their business cases and requirements are captured accurately and with sufficient detail.

This role is mainly responsible for:

  • Work with business, data and IT stakeholders to understand their needs and translate them into clear data requirements.
  • Perform deep analysis of structured and unstructured data across multiple data sources in line with requirements.
  • Develop data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate actionable insights and address reporting needs. Using data mining techniques to extract information from data sets and identify correlations and patterns
  • Define data requirements and gathers and validates information, using judgment and statistical tests.
  • Support creation of Data Quality rules to bring data under formal governance and work with stakeholders to introduce system changes to improve data quality. Monitor data quality and report inconsistencies to the team.
  • Identify opportunities to maximise data usage, applying modelling and optimization methods to enhance data assets and reporting products. Support initiatives for data integrity and normalization.
  • Evaluate changes and updates to source production systems and quantify impact on live business intelligence products.
  • Be a Subject Matter Expert (SME) in key systems/processes and represent in requirements gathering forums.
  • Proficient in using technologies including SQL, Python, Alteryx, Google Cloud Platform (GCP) e.g. Big Query
  • Design and deploy QlikSense (and optionally Tableau) output views on par with industry standards in terms of visual appeal, ease of usability and understanding
  • Support migration of existing data sources, reports & insights to GCP.
  • Work closely with DCOO teams, Business Analysts and Project Leads to develop quality business intelligence products and solutions.
  • Extensive engagement with users (including senior management) for understanding & translating their requirements into user friendly dashboards / insights
  • The incumbent will be expected to up-skill on an ongoing basis to also venture into Advanced Analytics and be familiar with data science languages like Python and R
  • Support DCOO Analytics Leads delivering business intelligence solutions. Preparing reports and presenting these to management or clients.
  • Identify and manage risk in the area of responsibility including resolve blockers and bottlenecks. Identifying and recommending new ways to save money by streamlining business processes
  • Communicating with stakeholders to understand data content and business requirements

Qualifications / Experience

Essential

  • Minimum of 5 years’ experience (as a data analyst, ETL developer or similar role) delivering data / analytics solutions using Agile with clearly demonstrable business outcomes
  • Ability to analyse existing products, databases and systems to provide solution recommendations
  • Ability to compose requirements, data workflows, process workflows and design into clear documentation to enable rapid development
  • Demonstrated experience in handling complex datasets and databases
  • Experience in implementing ETL processes including extracting, merging and incremental data loads.
  • Experience of working in Agile environments and use of JIRA
  • Proficient in SQL, ETL framework, Alteryx or similar technology, Python, GCP, QlikSense preferred.
  • Co-ordinate and oversee work to meet agreed deadlines
  • Ability to work in fast-paced environment with proven ability to handle multiple outputs at one time
  • Exceptional analytical skills with a strong understanding of the power and value of data with an ability to apply technology solutions to meet business needs
  • Self-starter who can operate independently and proactively or as part of a team with high energy levels, flexibility, enthusiasm and willingness to learn, resilient under pressure
  • Capable of developing subject matter expertise in complex areas and demonstrating a resourceful, creative and inquisitive approach to highly complex tasks
  • Excellent communication skills, both written and verbal and comfortable working with senior management; ability to articulate data concepts, problem statements and solutions to technical and non-technical stakeholders
  • Demonstrate a passion for research and data, keeping up to date on latest technologies and best practice in the marketplace and inspiring the same within the team
  • Coaches fellow team members and support development of skills

Desirable

  • Experience solving complex problems (incl. Design Thinking) where the problem statement / solution isn’t clear
  • Strong commercial acumen with an appreciation of how data can be relevant to support key business decisions around customer experience, cost, efficiency & revenue
  • Industry / innovation knowledge on technology and tools in the BI / Analytics / Data domain including Cloud providers
  • Good working knowledge of DCOO functional areas e.g. Procurement (S2C, Third Party Management, Accounts Payable), Corporate Real Estate, Transformation in a data, consulting or operational capacity
  • Strong knowledge of company’s data landscape, with a strategic view of the tools available and in use

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 Technical Analyst 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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