Analytics Associate at
1 month ago
Mission Statement for the Role:
Telling data stories to move an audience to action
Overall Responsibility:
Mission Statement for the Role:
Telling data stories to move an audience to action
Overall Responsibility:
As a data storyteller, you will analyse data, creating compelling narratives that inform, inspire and support business decisions while contributing to enhancing Poa's data infrastructure.
Analyse customer data through monitoring and reporting on the upgraded poa Product delivering daily analytics reports with recommendations on immediate actions for business to course correct.
- By end of Q3 2024Complete Where Next analysis and reports advising business on market fit delivered within 3 days of each expansion validation and within 7 days of each new area validation (in collaboration with Research and Design teams).
- By end of Q3 2024Customer renewal profiles and predictive churn models developed through an in-depth examination of delinquency and churn data; data-driven recommendations determined and presented to stakeholders, contributing to churn reduction.
- By end of Q3 2024Implemented and integrated poa Data warehouse into easy-to-use dashboards for the management team and operational department (in collaboration with Product team).
- By end of Q4 2024Complete an exhaustive analysis of 100% of Customer data generated in via Icon, deliver a report that extracts meaningful insights and gives actionable recommendations that improve Icon platform.
- By end of Q4 2024Deliver 99% of 'business as usual' and on-demand analytical reports for diverse teams according to agreed-upon timeframes to support informed decision-making.
- By end of Q1 2025Department stage of development where this role sits
Scaling
Key Competencies (H, M, L)
A great data storyteller with proven experience in telling compelling data stories -H
Firm grasp of using business data analytical tools (e.g. Excel, SQL, Power BI) to analyse data -H
Experience in extracting, transforming and loading data to BI tools for analysis and story telling -M
2+ years experience with doing large and complex descriptive, predictive and prescriptive analysis -H
Experience with data collection and survey tools is an added advantage, but not mandatory -M
Attention to detail - Ability to focus on all areas of a project or task -H
Growth mindset - Proactively seek feedback, adjust and learn quickly -H
Mandatory criteria with no exceptions to hire
Must have owned end-to-end data projects, from definition to data story delivery
Must have minimum 2–3 years experience as a data analyst working with large datasets
As a data storyteller, you will analyse data, creating compelling narratives that inform, inspire and support business decisions while contributing to enhancing Poa's data infrastructure.
Analyse customer data through monitoring and reporting on the upgraded poa Product delivering daily analytics reports with recommendations on immediate actions for business to course correct.
- By end of Q3 2024Complete Where Next analysis and reports advising business on market fit delivered within 3 days of each expansion validation and within 7 days of each new area validation (in collaboration with Research and Design teams).
- By end of Q3 2024Customer renewal profiles and predictive churn models developed through an in-depth examination of delinquency and churn data; data-driven recommendations determined and presented to stakeholders, contributing to churn reduction.
- By end of Q3 2024Implemented and integrated poa Data warehouse into easy-to-use dashboards for the management team and operational department (in collaboration with Product team).
- By end of Q4 2024Complete an exhaustive analysis of 100% of Customer data generated in via Icon, deliver a report that extracts meaningful insights and gives actionable recommendations that improve Icon platform.
- By end of Q4 2024Deliver 99% of 'business as usual' and on-demand analytical reports for diverse teams according to agreed-upon timeframes to support informed decision-making.
- By end of Q1 2025Department stage of development where this role sits
Scaling
Key Competencies (H, M, L)
A great data storyteller with proven experience in telling compelling data stories -H
Firm grasp of using business data analytical tools (e.g. Excel, SQL, Power BI) to analyse data -H
Experience in extracting, transforming and loading data to BI tools for analysis and story telling -M
2+ years experience with doing large and complex descriptive, predictive and prescriptive analysis -H
Experience with data collection and survey tools is an added advantage, but not mandatory -M
Attention to detail - Ability to focus on all areas of a project or task -H
Growth mindset - Proactively seek feedback, adjust and learn quickly -H
Mandatory criteria with no exceptions to hire
Must have owned end-to-end data projects, from definition to data story delivery
Must have minimum 2–3 years experience as a data analyst working with large datasets
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