CAN &amp; US Remote We are Givelify®, where fintech meets philanthropy. We help people instantly find causes that inspire them to action so they can change the world—one simple, joyful gift at a time.&nbsp; The Data Analyst&nbsp;is tasked with the analysis of large amounts of raw information to find patterns that will help inform business decisions through data products that provide valuable business insights.&nbsp; He/she should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. They should also demonstrate a passion for machine-learning &amp; research with the ultimate goal of helping Givelify make better decisions using validated trends and insights.&nbsp;&nbsp; Some of the meaningful work you will perform:<ul>
<li style="margin: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Identify valuable data sources and automate collection processes&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Undertake preprocessing of structured and unstructured data&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Analyze large amounts of information to discover trends and patterns&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Build predictive models and machine-learning algorithms&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Combine models through ensemble modeling&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Develops methodology and processes for prioritization and scheduling of projects&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Present information to key stakeholders using data visualization techniques&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Recommend solutions and strategies to business challenges&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Collaborate with cross-functional engineering and product development teams&nbsp;</li>
</ul> We welcome your experience and talents:<ul>
<li style="margin: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">3-5 years of professional experience&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Proficient with one or more programming languages (Python, R,&nbsp;PHP, Spark etc.)&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Proficient use of business intelligence (e.g.,&nbsp;Tableau)&nbsp;&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Demonstrated experience applying data science methods to real-world data problems&nbsp;</li>
<li style="margin: 0px; font-stretch: normal; font-size: 13px; line-height: normal; font-family: &quot;Helvetica Neue&quot;;">Experience utilizing visualization tools to take advantage of the growing volume of available information&nbsp;</li>
</ul> Our People&nbsp; 
&nbsp; 
We are a virtual team of high-performing professionals who innovate &amp; collaborate to fulfill our mission to help people instantly find causes that inspire them to action so they can change the world – one simple, joyful gift at a time. Our culture of integrity, heart, simplicity, &amp; that "wow" factor fuel our aspiration to be among the tech industry's most inclusive &amp; purpose-driven work environments.&nbsp; 
&nbsp; 
We take great pride in providing competitive pay, full benefits, amazing perks, and most importantly, the opportunity to put passion &amp; purpose to work. &nbsp; 
&nbsp; 
Our Product&nbsp; 
&nbsp; 
From places of worship to world-changing nonprofit groups, Givelify harnesses the power of technology to bridge the gap between people and the causes they care about. Tap. Give. Done. Givelify's payment solution is designed to make the experience of giving as beautiful as the act of giving.

**CAN & US Remote**

 ****  

 **We are Givelify®, where fintech meets philanthropy. We help people
instantly find causes that inspire them to action so they can change the
world—one simple, joyful gift at a time.  **

  

The Data Analyst is tasked with the analysis of large amounts of raw
information to find patterns that will help inform business decisions through
data products that provide valuable business insights.

  

He/she should be highly analytical with a knack for analysis, math and
statistics. Critical thinking and problem-solving skills are essential for
interpreting data. They should also demonstrate a passion for machine-learning
& research with the ultimate goal of helping Givelify make better decisions
using validated trends and insights.  

 ****  

 **Some of the meaningful work you will perform:**

  * Identify valuable data sources and automate collection processes 
  * Undertake preprocessing of structured and unstructured data 
  * Analyze large amounts of information to discover trends and patterns 
  * Build predictive models and machine-learning algorithms 
  * Combine models through ensemble modeling 
  * Develops methodology and processes for prioritization and scheduling of projects 
  * Present information to key stakeholders using data visualization techniques 
  * Recommend solutions and strategies to business challenges 
  * Collaborate with cross-functional engineering and product development teams 

****  

**We welcome your experience and talents:**

  * Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields 
  * 3-5 years of professional experience 
  * Proficient with one or more programming languages (Python, R, PHP, Spark etc.) 
  * Proficient use of business intelligence (e.g., Tableau)  
  * Demonstrated experience applying data science methods to real-world data problems 
  * Experience utilizing visualization tools to take advantage of the growing volume of available information 

****  

**Our People**  
  
We are a virtual team of high-performing professionals who innovate &
collaborate to fulfill our mission to help people instantly find causes that
inspire them to action so they can change the world – one simple, joyful gift
at a time. Our culture of integrity, heart, simplicity, & that "wow" factor
fuel our aspiration to be among the tech industry's most inclusive & purpose-
driven work environments.  
  
We take great pride in providing competitive pay, full benefits, amazing
perks, and most importantly, the opportunity to put passion & purpose to work.  
  
**Our Product**  
  
From places of worship to world-changing nonprofit groups, Givelify harnesses
the power of technology to bridge the gap between people and the causes they
care about. Tap. Give. Done. Givelify's payment solution is designed to make
the experience of giving as beautiful as the act of giving.

