Data Analytics Officer at Idmibok International (360 HSDC)

Overview

The 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.

• 3-4 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

• Strong NumPy/PANDAS skills

• Strong grasp of SQL database usage

Note: Qualified female candidates are strongly encouraged to apply.