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Canonical
People Data Analyst
Lagos, Nigeria
Paga
Growth Data Analyst
Lagos, Nigeria
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Sales Analyst
Lagos, Nigeria
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Data Engineer
Lagos, Nigeria
Infinion Technologies
Data Engineer
Lagos, Nigeria
Infinion Technologies
Full Stack Developer (C # , .Net, Reactjs)
Lagos, Nigeria
Infinion Technologies
Full Stack Developer (C # , .Net, Reactjs)
Lagos, Nigeria
Revent Technologies
AI Engineer
Lagos, Nigeria
Parkway Project Limited
Internal Audit Officer
Lagos, Nigeria
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RedCloud Technology
Product Support Manager
Lagos, Nigeria
Closing: May 14, 2024
12 days remainingPublished: Apr 29, 2024 (4 days ago)
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Job Summary
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Requirements
What we are looking for in you:
What we are looking for in you:
- Background in Data Science, Mathematics, Actuarial Science, or Engineering
- First work experience in People Analytics is an asset
- Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, R, etc), and databases (SQL, etc)
- Strength in data analytics and visualization (Looker Studio, Tableau, etc)
- Ability to translate business questions to key research objectives
- Ability to identify the best methodology to execute research, synthesize and analyse findings
- Excellent writing and communication skills
- Willingness to examine the status quo and resilient in the face of challenges
Responsibilities
Requirements
What we are looking for in you:
What we are looking for in you:
- Background in Data Science, Mathematics, Actuarial Science, or Engineering
- First work experience in People Analytics is an asset
- Knowledge in advanced statistics, data sciences, coding/scripting languages (Python, R, etc), and databases (SQL, etc)
- Strength in data analytics and visualization (Looker Studio, Tableau, etc)
- Ability to translate business questions to key research objectives
- Ability to identify the best methodology to execute research, synthesize and analyse findings
- Excellent writing and communication skills
- Willingness to examine the status quo and resilient in the face of challenges
- Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace.
- We are interested in technology, of course, but we are also interested in the human mission of enabling the world's brightest and hardest working people to live where they want and work from anywhere.
- Most of our colleagues could move to a tech hub but they choose Canonical because of our mission and our approach to the workplace.
- We'd like to understand what really makes a distributed, remote-first workplace work. We think we're pretty good at this (being remote first for almost 20 years), but we know there is a lot still to understand, and the frontier of possibility continues to move outward.
- We'd like to invest in research, analytics and tooling which raises the bar even further for remote collaboration and organisation.
- If we are able to build tools that meaningfully improve our cooperation and our satisfaction, then we intend to share our insights with the world, both as a narrative and as SAAS or open source that helps other companies follow in our footsteps.
Duties
- Support analytics and data mining in a cross-disciplinary team of organisational psychologists, web front end engineers, back end engineers and statistics / analytics experts to help us build a new definition for the 21st century digital workplace.
- Collaborate to figure out what really drives productivity, effectiveness and happiness in a remote-first globally distributed company.
- In addition to your existing people analytics work experience, this role will combine your skills in psychology, data analytics and visualisation, to help create a more effective workplace.
- Location: This role will be based remotely in the AMER (Eastern Timezone) region.
What your day will look like:
- Utilize advanced data analytics to understand how we hire and how we work (productivity, happiness and effectiveness) across a global, remote first organisation
- Focus on quantitative and qualitative data analytics to find insights and meaningful business outcomes
- Tell the story from the insights through dashboards, visualizations and presentations
- Design and conduct research into trends shaping talent science and remote work
- Collaborate with stakeholder teams (ex., engineering, information systems, etc) to improve the data and tool ecosystem supporting our digital workplace
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