Data Analyst

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Last update: Dec 6, 2023 Last update: Dec 6, 2023


Deadline: Dec 19, 2023 Deadline for applications has passed
Location: Denmark Denmark
Organization: UNOPS
Job type:Contract, 12 months +
Work experience: Min 2 years
Date posted:Dec 5, 2023


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Dutystation: Copenhagen, Denmark

Functional responsibilities

1. Technical support

  • Assist with conducting analyses on complex and connected data, proposing and testing hypotheses, deriving statistics, trends and insights

  • Conduct data quality analysis and testing of data sources and tools

2. Operations development

  • Support the gathering and documentation of PID requirements and expectations, reporting requirements, design preferences, and quality criteria

  • Provide analytical support to the supervisor in the development and implementation of BigQuery databases, tables and SQL queries to store, structure, compare and extract data, as well as exploiting other tools within Google Cloud Service as appropriate

  • Recommend processes and tools to assure ongoing quality and integrity of data

  • Support the design, development, testing, implementation and documentation of data tools, including dashboards and reports

    • Draft detailed concept designs and specifications for consultation and sign off, using a range of analysis and statistical techniques to provide insight into the functioning and management of a project or program

    • Develop, test and implement, including quality assurance of the resulting tools and underlying datasources

    • Present to PID stakeholders, revising and updating as necessary based on feedback from users and stakeholders

    • Document key decisions made in development and provide documentation to project stakeholders on how to use and maintain

  • Liaise with ITG personnel to ensure all developed tools are:

    • compliant with UNOPS data security and governance policies

    • consistent with UNOPS ITG standardised approaches to developing SQL queries and nomenclature

    • professionally designed and implementing following standard UNOPS and/or project templates and branding guidance

    • implemented in such a way that the business unit retains ownership of dashboards and data sources at the end of the assignment

3. Capability development

  • Support in the development and delivery of capability development programs and documentation for personnel and key users on data tools, including in their use and ongoing maintenance

  • Support in the provision of internal training as required on skills and technologies within the scope of experience of the consultant, including on dashboard development

4. Maintenance support

  • Assist with ongoing maintenance of data tools, including updating data sources, implementing improvements and providing other ad-hoc support as required

Impact of Results

Successful performance by the Data analyst would lead to the following impacts:

  • Enhanced Operational Efficiency: The successful implementation of optimized processes would lead to improved efficiency and productivity across the organization. This would result in cost savings, reduced manual workloads, and faster project delivery, ultimately increasing operational efficiency.

  • Improved Service Delivery: By optimizing its processes, UNOPS would be able to enhance its service offerings to its partners and stakeholders.

  • Increased Organizational Performance: The successful adoption of optimized processes would enable UNOPS to achieve higher levels of organizational performance.

  • Positive External Perception: Achieving the objectives of the PID (including process redesign) would enhance UNOPS's reputation and image among external stakeholders, including partner organizations, donors, and the wider development community. UNOPS would be recognized as an innovative, technology-driven organization committed to leveraging digital solutions for sustainable development, attracting new partnerships, funding opportunities, and talent.

Overall, the impact of a successful PID Programme would be transformative for UNOPS, driving efficiency, effectiveness, and innovation throughout the organization and positioning it for long-term success in the digital era.

Education/Experience/Language requirements

Education Requirements:
  • Candidates with a high school or secondary school diploma (minimum requirement) should demonstrate a minimum 6 years of relevant work experience
  • Candidates with a technical or professional diploma should demonstrate a minimum 4 years of relevant work experience
  • Candidates with a Bachelor’s degree or equivalent should demonstrate a minimum 2 years of relevant work experience
  • Preferred academic qualifications and/or certifications should be in the field of Statistics, Mathematics, Data Science, Computer Science, Information Systems, Engineering, Economics or equivalent
Experience Requirements:
  • A minimum of two years of professional experience in analysis and/or evaluation of business-related data and/or statistics is required.
  • A minimum of 2 years of experience in SQL skills are required.

Desired Experience:

  • Advanced knowledge of and experience using the Google Cloud Platform (GCP) (including Big Query) and advanced ANSI SQL skills are desirable.
  • Experience in business statistics, data management, analysis, visualization and modelling is desirable, ideally with a focus on one or more of the functional areas for UNOPS (e.g. infrastructure, procurement, project management, human resources, financial management, and other management services)
  • A high level of expertise in spreadsheet tools (e.g. Google Sheets, Microsoft Excel) is desirable.
  • Experience with scripting languages (e.g. Python, Google Apps Script, Javascript) is desirable.
  • Experience with artificial intelligence/machine learning methods and tools, particularly in the GCP environment is an asset.
  • Experience in large-scale digital transformation would be an asset.
Language Requirements:
  • Full working knowledge of English is essential.
  • Knowledge of another official UNOPS language (French, Spanish) is an asset.