Data Analyst - NextensArelB/SwaggerGenerationTool GitHub Wiki

See also HR sharepoint for RELX job descriptions: Data Analysis Data Analyst I Data Analyst II Data Analyst III/IV Sr Data Analyst Consulting Data Analyst

Data Analyst

There are multiple types of requests:

  1. Ad hoc and one time only requests to answer/support stakeholder needs (e.g. how many potential customers do we have for delivering a new feature)
  2. Requests to deliver dashboards/reporting for structural stakeholder needs (e.g. dashboards answering how many aangiftes per month with which aangifte status)
  3. Request to deliver dashboards/reporting for customer needs (e.g. what is the solvability of your organization compared to other similar organizations)

They all follow more or less the same process.

2 groups of responsibilities:

  1. Data requirements
  2. Data analyse

1. Data requirements:

  • Identify stakeholders
  • Identify stakeholder needs
  • Define stakeholder objectives and requirements
  • Identify if data is already (partly) available If not:
    • Identify potential data sources
    • Map data sources to stakeholder objectives and requirements
    • Identify gaps (data required is not yet possible to extract or not yet available)
    • In case of gaps: identify potential solutions
  • Go/NoGo: Define and agree on scope and requirements
  • Create product backlog for data engineering activities
    • Communicate scope and requirements to the team
    • Follow-up on realization of the data engineering

Skills

  • Fiscal domain knowledge
  • Fiscal data knowledge
  • Knowledge of internal and external stakeholders

2. Data analyse:

  • Design of data structure (PowerBI)
  • Design of datamodel
  • Create overviews (reporting, dashboards) for different type of stakeholders
  • Analyse the data in order to make conclusions or to support decision making
  • Deliver the overview to stakeholders

Skills

  • Certificate IREB training or equivalent (Requirements training)
  • Knowledge of data structure, data types and file types so correct methods of extracting and transforming and manipulating data can be applied
  • Technical skills job description Data Analyst (PowerBI, Python, etc)

Interaction with:

  • Product owner
  • Delivery manager
  • Data engineer
  • Quality engineer
  • Internal and external stakeholders (customers, Sales, Marketing, etc)
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