Data Analyst II - Statistician (Virtual)
Milwaukee, WI, United States
Applications have closed
Humanity
Jobs for Humanity paves the way to a fairer future for all by connecting historically underrepresented talent to welcoming employers.Company Description
Jobs for Humanity is dedicated to building an inclusive and just employment ecosystem. Therefore, we have dedicated this job posting to individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Ethnic Minority, and the Previously Incarcerated. If you identify with any of the following communities do not hesitate to register, even if you feel that this particular opportunity is not the right fit for you.Company Name: FIS Global
Job Description
Position Type :
Full timeType Of Hire :
Experienced (relevant combo of work and education)Education Desired :
Bachelor of Computer ScienceTravel Percentage :
0%Job Description
We are FIS. Our technology powers the world’s economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. If you’re ready to start learning, growing and making an impact with a career in fintech, we’d like to know: Are you FIS?
About the team
The Analytics & Value Engineering team acts as the compass and chief navigator for the global sales organization at FIS. We shape the future of our sales success through constantly carving out the most efficient path to revenue growth with insight and execution.
What you will be doing
• Design, build, and test predictive models that enable the sales organization to maximize ROI through optimized resource deployment.
• Extract, integrate, and analyze large data sets to synthesize insights that have an impact on the sales organization.
• Evaluate current and proposed KPIs and performance methodologies to ensure fit-for-purpose and correlation of KPIs to business outcomes.
• Lead analytical projects covering win/loss analysis, quota setting, territory assignments, client segmentation, whitespace and TAM, account planning, next nth product, renewals, cross-sell and upsell.
• Participate in cross-functional tiger teams acting as data expert for sources and uses of internal sales data resources.
• Identify and differentiate the factors that influence sales performance outcomes.
• Assist business analysts with finding patterns and relationships in data.
• Present analyses to fellow team members, stakeholders and executives
• Share knowledge with other members of analytics team.
• Evaluate and improve internal tools and processes.
What you bring:
• Excellent data analysis and automation skills which enable you to rapidly distil insights from large data sets
• Ability to quickly adapt to changing priorities and generate innovative solutions in a fast-paced environment
• Superb analytical and problem-solving skills
• Advanced proficiency with Python, Java, and R code writing
• Extensive knowledge of ML frameworks, libraries, data structures, data modelling, and software architecture.
• Passion to challenge the status quo and priorities of analytical projects based on perceived work effort required and potential to improve business outcomes.
• Bachelor’s Degree or the equivalent combination of education, training, and work experience.
Added bonus if you have:
- Experience in enterprise B2B software sales
What we offer you
- Attractive benefits including private medical cover, dental cover, and travel insurance
- A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
- A broad range of professional education and personal development possibilities – FIS is your final career step!
- The chance to work on some of the most challenging, relevant issues in financial services & technology
#LI-AD1
.
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
EEOC Statement
FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
#pridepass
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data analysis Engineering FinTech KPIs Machine Learning Privacy Python R Security
Perks/benefits: Career development Health care Insurance Startup environment
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