Who We Are:

[ ORGANIZATION NAME ] mission goes here and about your organization.

About this Role:

The Senior Research Software Engineer (RSE) will be implementing solutions to maximize interoperability and consistency across the different packages. In close collaboration with other RSE teams, the post holder will develop dedicated object classes to represent common data as well as procedures for handling, visualizing, and converting them and tools for data pipeline automation. The senior RSE will also help define and implement good practices for the packages, including coding standards, documentation, unit testing and associated coverage diagnostics, continuous integration and Agile collaboration frameworks.  

The salary range for this position is [ SALARY RANGE ] annually and includes a comprehensive benefits package.

[ ORGANIZATION NAME ] highly values facilitating an equitable standard of living across the regions in which it operates. This position’s location is remote and can be based anywhere globally. Details of actual compensation will be discussed during the interview process to ensure compensation is approached comprehensively and equitability. [ TRAVEL REQUIREMENT, IF APPLICABLE ].

What You’ll Do:

Contribute to the development of object classes (S3/S4/R6) and associated methods for handling, visualizing, and converting the most common types of outbreak data 

Help define and implement coding, documentation and quality standards for the R packages

Implement a coherent infrastructure for automated testing and continuous integration for the packages

Contribute to the development of infrastructures for data pipelines, automated reporting, and scientific reproducibility 

Contribute to developing standards for data anonymization and data security 

Improve existing codebases and packages to meet the development team’s standards 

Help other teams implement Lean and Agile collaboration frameworks (e.g. Scrum)  

Write documentation as needed 

Attend meetings as needed 

Qualifications You’ll Need:

Bachelor’s degree and 5+ years of relevant experience developing software to industry standards 

Excellent programing skills in R and at least one additional language 

High proficiency with version control systems (preferably Git) 

Experience in implementing automated testing and continuous integration 

Experience applying Lean and Agile principles in a collaboration framework (e.g. Scrum) 

Self-motivated and able to work in a startup environment- managing to project plans, while maintaining the flexibility to shift as the program and organization evolve 

Detail-oriented and organized 

Ability to work collaboratively and develop trusted relationships 

Excellent interpersonal, organizational, and communication skills 

Demonstrated work ethic, and ability to self-manage within a geographically distributed team 

Experience working with purpose-driven organizations 

Experience in Public Health, Technology, Research, Data Science, or Innovation sector preferred 

Experience managing developers team, a plus 

Excellent knowledge of R packages for software development (e.g. devtools, testthat, usethis) 

General knowledge of common R packages for data analysis (tidyverse, reconverse) a plus 

Who We Are:

[ ORGANIZATION NAME ] mission goes here and about your organization.

About this Role:

As [ ORGANIZATION NAME ], we put a high premium on clear, analytically rigorous data insights for the social sector. Within organization [x], this role will play an important part in providing that clarity, rigor, and creativity to [ WHAT TEAM(S) THIS POSITION WILL PRIMARILY WORK WITH ]. As a senior individual contributor, this role will help build the analyst function within [ ORGANIZATION NAME ], initially deploying contract resources, then hiring junior staff when there is sufficient demand and the necessary funding to do so. This role will report to the [reporting position].

This role will lead on analytics and reporting for [ TOOL OR APPLICATION, IF APPLICABLE ]. In addition, this role will review marketing analytics data for the marketing site, email products, and social data. This person will work closely with team members to make clear recommendations for the next steps.

This is a full-time, exempt position. The salary range for this position is [ SALARY RANGE ] annually, and [ BENEFITS PACKAGE ]. This position’s location is [ REMOTE, HYBRID, IN-PERSON ]. To promote transparency in compensation practices, this position lists a baseline salary for a US-based cost of living. Details of actual compensation will be discussed during the interview process to ensure compensation is approached comprehensively and equitability. [ TRAVEL REQUIREMENT, IF APPLICABLE ].

What You’ll Do:

[ ORGANIZATION NAME ] is seeking an experienced analyst who will:

Conduct analysis of the [ TOOL OR APPLICATION, IF APPLICABLE ], and interpret data to aid in understanding of insights about the community of social impact organizations

Conduct analysis of digital properties: marketing site, email outreach, social media, and develop a holistic overall picture of performance and opportunities for improvement

Work closely with the [ WHAT TEAM(S) THIS POSITION WILL PRIMARILY WORK WITH ] teams to recommend actionable next steps for all digital properties, campaigns, and initiatives

Provide guidance and best practices on data management and marketing platforms like Salesforce, Google Analytics, Google Data Studio, and Google Tag Manager

Produce data visualizations to illuminate and communicate important learning

Where possible, incorporate qualitative findings into quantitative reporting

Work closely with staff to plan, develop, implement, and evaluate protocols and research related to data quality assurance

Prepare reports and presentations for the executive team, founding partners, and funders to evaluate and communicate impact

Grow the analyst function as demand requires and funding allows, managing any contract or permanent junior analyst resource

Performs other duties as needed

Qualifications You’ll Need:

Degree or equivalent qualifications and experience

A minimum of 4+ years of full-time experience in data analysis

Experience with Google Analytics and Google BigQuery

Experience in SQL, SAS, Python, or R programming

Knowledge of marketing technology data platforms such as CRM (Salesforce), social marketing insights, and email marketing analytics

Proficiency in data visualization tools, such as Tableau

Strong oral and written communication skills, with experience presenting data interpretation and insights to non-technical audiences

Experience with (and patience for) creating new analytics processes for an early-stage environment

A mission-driven individual with strong judgment, interpersonal skills, and an ability to thrive in a fast-paced environment

Social sector experience preferred