As a Data Analyst within the Data Science and Analytics department, you ll contribute to a variety of analytic activities, including project-based data mining, data preparation/staging and quality control, and dashboard/KPI development
As an aspiring data wrangler , you ll expand your analytic skills while discovering new correlations and predictive relationships using MX s expanding, world-class data asset
Eager to learn, you ll also look for ways to enhance your analytic toolbox through side-by-side training and self-directed study
The ability to interpret and communicate analytic results will be important for success, as will patience in the face of analytic uncertainty
Your computational background, natural curiosity, collaborative spirit, and hands-on approach to solving problems will mark you as an ideal candidate for this role
As part of MX s thriving analytic organization, you ll enjoy autonomy and the ability to make a real difference in a successful and high-growth company
As you partner with other creative and enthusiastic team members you ll be rewarded and recognized for your high-caliber work
What you ll get to do
Work with massive datasets related to financial transactions to identify ways to cleanse that data for MX s customers
Work with teammates from the data analytics and data science functions to build new tools and methods that strengthen MX s data platform
Identify patterns and trends within our data and use that information to improve MX s products
Monitor data platform system performance to identify and address challenges to data quality (eg, accuracy, completeness, and reliability) and availability
Contribute to presentations and memoranda that communicate key messages and findings to colleagues and senior leaders
You ll do it using your
bachelors degree in a STEM-related field, masters degree preferred
5-7 years experience that includes business analysis, building dashboards and KPIs, and/or providing data analytic support for advanced analytics (eg, machine learning modeling)
Displayed proficiency with Python and SQL
Critical thinking skills, attention to detail, and focus on results
Drive to tackle demanding goals with enthusiasm, tenacity in the face of stubborn obstacles, and interest in pursuing personal and technical development alongside other commitments
Commitment to client needs and satisfaction, humility in the face of constructive, well-meaning feedback, and production of high-quality work that builds trust and confidence with stakeholders
Ability to work autonomously and manage ambiguity effectively
You ll fit in by
Collaborating with members of the Data Science and Analytics teams
Embracing the challenge of answering difficult business problems, creating structured solutions from disorganized data pools, and deepening your understanding of consumer financial behavior
Leveraging your interest in technology to solve problems computationally
Being resourceful, creative, tenacious, and focused on getting things done
Assuming positive intent and communicating with skilled candor and respect
You ll love it because
The Data Science and Analytics department is dedicated to solving important and high-impact questions
You ll have the opportunity to work in a successful, fast moving, mission-driven company
You ll access growth opportunities and collaborate with highly motivated, intellectually curious, and genuinely nice colleagues