Do you have at least one year experience in marketing analytics? Do you have experience using software to solve problems with large data sets? Do you have a bachelors or masters degree in Statistics, Economics or some other quantitative degree from a reputable university program? This job may be for you.

Job Description:

Ignite Technologies is expanding our professional services team to build marketing mix models and digital attribution solutions for our Blue Chip roster of clients. This is a great opportunity to build your experience working with world class marketing teams and helping them achieve 100% Customer Success.

Company Description:Ignite Technologies helps customers ignite the power of their workforce to ignite better business performance through the deployment of best-in-class business applications and application development platforms across a range of functional domains. Ignite’s mission is to develop and deliver an expanding set of unique business applications that help organizations perform better by enhancing the capabilities and impact of their workforce.

Total compensation: $25,000/year ($12.50/hour)

Location: Global (remote)

40 hours per week

Key Responsibilities:

Our analysts use Ignite solutions to manage data integration, data analysis, model building, and contribute to answer development for multiple customers. This is a customer-facing role; analysts attend key meetings and will at times (after initial onboarding) manage customer-facing activities independently.

Ignite analysts develop and maintain instances of our market leading marketing optimization solution, and they communicate findings, insights and recommendations. Specific responsibilities include the following:

• Lead the data integration process.  This includes creating and managing data summaries and charts.  The Analyst is responsible for data accuracy and interpretation

• Build marketing models and provide analysis to meet customer needs in a timely manner, with some direction and guidance from Director

• Work proactively with rest of the team to identify and resolve key technical issues

• Participate in key customer meetings, and lead topics related to your analysis

• Craft a story and develop presentation materials that provide relevant insights and recommendations to customers

• (Over time), present chapters of presentations and facilitate discussions with customers

• Participates in development of project plans and calendars, managing ongoing delivery milestones and communication as needed to ensure project success

• Contributes to development of customer stakeholder maps and may manage customer stakeholders at the appropriate level

• Maintain existing marketing models, sharing pertinent software updates with customers on a timely basis

Required Skills and Expertise:

• Curiosity, especially about media, advertising, and consumer behavior

• Empathy

• Interest in helping others succeed

• Intelligence and curiosity necessary to dig deep within the client’s data to better understand the full situation

• Attention to detail sufficient to work with large datasets while minimizing error and rework

• Foresight to understand and prioritize client needs in order to structure their analysis to ensure relevant insights and recommendations

• Ability to deliver against established client timelines, often balancing multiple client needs at once

• Ability to operate independently, seeking guidance when necessary

• Eager to take direction from team and learn from past outcomes in order to improve performance

• Reliable and consistent delivery of work that is error free and delivered in a timely fashion

• Willingness and ability to learn and master Ignite’s proprietary agent based modeling software

• Able to work independently and with small teams supporting Ignite clients

Required Education and Experience:

• Experience in marketing analytics, conducting analysis, and creating recommendations based on data and models

• Bachelor’s degree required with concentration in statistics, mathematics, economics, or another quantitative field, Master’s degree is a plus

• Solving complicated mathematical problems with Python and Spark, with emphasis on logistic regression

• Managing, assessing, transforming large data sets (here, “large” means any dataset big enough that visual inspection is not effective and queries are required to check or transform it – this could include Hadoop- or Spark-scaled big data sets, or larger datasets in SQL, R, SAS or similar)

The following experience is considered a plus:

• One year of focused marketing mix modeling, experience should include:

o    Creating response curves for traditional and digital vehicles

o    Developing and deploying multiple regression techniques

o    Decision trees and Random Forests

• Creating or driving action with digital attribution analyses, familiarity with attribution and vendor tools a plus. (GA/Adometry, Convertro, VisualIQ, Rakuten, Facebook, Twitter, Pinterest analytics)

• Experience working with large log-file datasets of digital event data

• Developing dashboards using business intelligence tools. (Tableau, Qlik, YellowFin)

• Creating or driving action with digital attribution analyses, familiarity with attribution and vendor tools a plus. (GA/Adometry, Convertro, VisualIQ, Rakuten, Facebook, Twitter, Pinterest analytics)

• Experience working with large log-file datasets of digital event data

• Developing dashboards using business intelligence tools. (Tableau, Qlik, YellowFin)

We’re one of the few legitimate companies offering high-paying jobs that are 100% remote, work from home. You never have to fight traffic to the office again and you have the freedom to choose when and where you put in your 40 hours to be most effective each week.

However, it is important to note that while you will work as a "contractor," these are long-term contracts that should be your only source of employment. You are not permitted to work additional jobs on the side. Please do not apply unless you are available to make this position your sole employment.

To qualify, please provide a resume/CV demonstrating the required experience and skills. From there, to help us find the top 1% of talent, there will be a series of interviews and online skills examinations. We realize these are challenging and can require a decent amount of time - so we thank you in advance for your efforts.