Data Analyst

Hiring at

Open Ownership

How to apply

Copied e-mail address!

To apply, please complete the question-based process on the Applied platform by 23:59 UTC (GMT) on 31 May 2024.

Overview

Available anywhere

nopreference

🇵🇸 This job hires Palestinians through our partner Techtative

To apply, please complete the question-based process on the Applied platform by 23:59 UTC (GMT) on 31 May 2024.

Salary

USD 66k - 85k/yr

Deadline

2024-05-31

May 31, 2024

Not specified

Featured, Requires Travel

Share this job!

Company Description

Job Description

Open Ownership is looking for an experienced individual to join our data and technology team to help people across the world use and learn from beneficial ownership data in order to
actively reduce corruption risks and improve governance.
The successful candidate will be responsible for analysing data on how people and entities own or control corporate vehicles, increasing usage of beneficial ownership data published in line
with Open Ownership’s guidance and demonstrating how high-quality data produced in line with the Beneficial Ownership Data Standard (BODS) can help answer data user needs.
The Data Analyst will also act as a source of information and support for implementing BODS, explaining what the standard is, how it works and how it can be implemented. You will
contribute to the development of BODS by analysing datasets published using BODS and testing BODS with implementers, refining it in response to feedback, and sharing learning
across policy and technical aspects of reform.
You will work with the Head of Technology to achieve this in collaboration with technical partners and external stakeholders.
You’ll proactively work with colleagues across our team to spread awareness about BODS datasets, apply Open Ownership’s tools to support national governments implementing BOT, and share this knowledge across and beyond the organisation.

Key tasks and responsibilities

Data analysis and data standard support

  • Analyse and examine national and global datasets on how people and entities own or control corporate vehicles such as companies, trusts and partnerships;
  • Demonstrate how to analyse and interpret data produced in line with BODS in a range of formats and using a range of tools;
  • Work with Open Ownership team members to feed data evaluations back to national governments implementing BOT to improve data quality and support further technical development. These evaluations will also help inform the future development of BODS;
  • Speak publicly, in a range of forums, about BODS, beneficial ownership data and Open Ownership’s technology offering.

Share learning from data evaluations and partnerships

  • Evaluate published datasets and demonstrate how Open Ownership’s open source tools help support greater reuse of high-quality beneficial ownership data to achieve policy goals;
  • Develop and share knowledge about data publishers’ contexts, successes and challenges;
  • Proactively engage with Open Ownership’s diverse team to integrate technical learnings into future areas of work.

**Develop Open Ownership’s technology tools in line with data user needs **

  • Work with stakeholders internationally to identify and resolve key policy and implementation challenges, to produce high-quality and interoperable beneficial ownership data;
  • Gather user stories and develop requirements for data-related tools, processes and products;
  • Explore, analyse and report on data for technical and policy audiences;
  • Contribute to the development of data standards.

Candidate profile

  • Extensive experience working in data analysis/analyst roles with diverse stakeholders and/or technical data projects. Experience working with governments to implement digital reforms and/or working on open-source projects would be an advantage;
  • Ability to deliver high-quality technical analysis, including the ability to link technical detail with subject matter expertise and policy goals or context;
  • Understanding of one or more structured data formats ( JSON, XML, relational databases, spreadsheets, etc.) and ability to analyse, clean or visualise data (for example using Python, spreadsheets, SQL or other technologies);
  • Ability to provide technical support to stakeholders from all over the world, using excellent verbal and written skills to communicate complex topics;
  • Ability to work directly with stakeholders to gather and analyse requirements and constraints for data-related processes, products and tools;
  • Ability to understand, work with and contribute to the development of data standards;
  • Passion for how open data and policy can together drive positive impact, and knowledge of this work in contexts globally;
  • Excellent written and verbal communication skills (English), particularly communicating with policy and technical audiences;
  • Ability to self-organise and work autonomously in a remote organisation across multiple time zones;
  • Additional languages such as French or Portuguese would be welcome and Spanish especially would be an advantage.

Application process

We want to hear from all voices and particularly encourage individuals of diverse and marginalised communities to apply. If there is a requirement in the job description which you feel you don’t quite meet but you are still keen to apply then please do.
Please note that Open Ownership is a fiscally sponsored organisation and the contract will be executed in the name of our US fiscal sponsor Global Impact – a non-profit – on behalf of Open Ownership.
Open Ownership uses the Applied platform for our recruitment which is designed to promote diversity and inclusion through anonymised applications and scenario-based questions. Ourinitial process will be solely based on your anonymised answers within the Applied platform.
We will also ask you to submit your CV, but your CV will not be reviewed unless we decide to invite you to interview. If you reach the final stage of interviews, we will retain your details forfuture posts at Open Ownership, unless you tell us otherwise.

How to apply

Copied e-mail address!

To apply, please complete the question-based process on the Applied platform by 23:59 UTC (GMT) on 31 May 2024.

Let us know your thoughts