A Data Analytics Officer will manage the processes of accurate data collection, processing, modeling and analysis. The ideal candidate has a talent for seeing solutions in sprawling data sets, with experience in providing impactful data insights and steering effective user acquisition and retention strategies.
The ideal candidate will have a strong ability to synthesize valuable insights from raw data, and the communication skills to effectively disseminate information across the team and organization.
Responsibilities
Support development of high-value or complex proposals or bids including proposal writing Design architecture, deploy and maintain supporting infrastructure for Idmibok’s analytic platforms.
Automate the deployment, administration and operations of the infrastructure and analytic platforms.
Build and maintain monitoring, log aggregation, and reporting on infrastructure performance, application performance, and user behavior.
Build and maintain standard authentication and access patterns for integrations within Idmibok’s broader data/technology ecosystem.
Administer and operationally support Idmibok’s analytic platforms and supporting infrastructure.
Partner with the Information Technology team to maintain and support application licensing and software distribution.
Provide analytics tools and platforms subject matter expertise to staff/team.
Develop and implement methods for educating at scale.
Provide ad-hoc support of various growth initiatives including qualitative research, survey design, web development, and more.
Qualifications
A Bachelor's Degree or a Master's Degree in Data Analytics, Data Science, Statistics, Mathematics or Computer Science /IT.
2-3 years of experience in a BI, data science or analyst role in an organization.
Knowledge of statistics, specifically experimental design, and study.
Familiarity with common web and social tools (e.g. Google Analytics, social platform analytics).
Experience with data analysis tools, workflows, and building dashboards using tools like Tableau.
Strong analytical and quantitative skills.
Excellent communication and interpersonal skills with an emphasis on taking a data-focus approach.
Demonstrated ability to multi-task, prioritize, self-start, contribute under pressure and meet tight deadlines.
Working knowledge of Google Drive, and Microsoft Office (especially Excel). Slack, Box and Basecamp is a plus.
Proficiency in using Python and/or R to perform data analysis.