Job Summary

As a Product Analyst within the Data Science and Analytics department, you’ll partner with colleagues from the Product and analytic teams to complete a variety of computational activities, including analyzing customer journey and end-user metrics, data mining exercises, data stratification and quality control, and dashboard and KPI development. Your work will inform new product development and help us understand how to maximize our product portfolio’s marketplace effectiveness. As a talented “data wrangler”, you’ll leverage your analytic skills to discover 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, collaborative spirit, and hands-on approach to solving problems will mark you as an ideal candidate for this role.

Job Duties

• Work with colleagues from the product and analytic functions to design customer and procedural metrics, complete operational and segmentation analyses, predict end-user behavior, and make data-driven recommendations about product features.

• Evaluate product effectiveness (including versus industry peers), complete market analyses, refine customer value propositions, and collect customer feedback.

• Write scripts to support hypothesis-based and theory-free data mining projects (e.g., create new pattern recognition algorithms and find hidden relationships between features).

• Create new data assets, modeling features, and dashboards in service to MX’s product platform.

• Monitor data platform system performance to identify and address challenges to data quality (e.g., accuracy, completeness, and reliability) and availability.

• Lead data exploration work to generate insights on product effectiveness, institutional client results, and end-user (consumer) financial health.

• Develop presentations and memoranda to communicate key messages and insights based on rigorous analyses.

• Serve as a subject matter expert on analytical best practices and data visualization.

Job Requirements

• Bachelor’s degree, including quantitative coursework (e.g., Mathematics, Physics, Statistics, Computer Science, or similar) preferred.

• 3-5 years’ experience with operational, financial, or marketing analytics (likely including building dashboards and KPIs and analyzing product performance metrics) preferred.

• Proficiency with at least one database query language (e.g., SQL); familiarity with Python and exposure to modern data science environments (e.g., cloud, Jupyter, and git) would also be beneficial.

• 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.

• Prior experience presenting analytic results and recommendations to stakeholders, managers and team members.

Work Environment
At MX, we utilize a hybrid work model, which allows us to attract top talent, provide work-life balance, and increase productivity through collaboration. Our team members enjoy a balance of remote work and monthly in-person collaboration meetings. Travel expectations are about 15%, and the company covers travel expenses for remote employees. Local employees are encouraged to utilize in-office time on a weekly basis. Both local and remote employees can take advantage of our incredible office space with onside perks like company-paid meals, onsite massage therapist, golf simulator, and meditation room to name a few.

CompensationThe expected on-target earnings (OTE), which is comprised of a base salary and other forms of cash compensation, such as bonus or commissions is currently $81,000-$97,000. This pay range is just one component of MX's total rewards package. MX takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location, skillset, peer compensation.

**Please note that this position does not accept sponsorship candidates at this time. Only US-based candidates who are authorized to work in the US without sponsorship, now or in the future, will be considered for this role.
 

At MX, we seek to hire candidates who drive results and achieve successful outcomes. We utilize a hybrid work arrangement style, which may require both local and remote team members to be in the office when necessary, to kick off projects, hold cross team strategy meetings, or complete key deliverables. Remote team members will travel into the office four times per year, and MX covers travel expenses associated with this requirement. Both local and remote employees can take advantage of our incredible office space with onsite perks, company-paid meals, onsite massage therapists, sports simulator, gym, mother’s lounge, and meditation room.

MX is proudly committed to recruiting and retaining a diverse and inclusive workforce. As an Equal Opportunity Employer, we never discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, military or veteran status, status as an individual with a disability, or other applicable legally protected characteristics. We particularly welcome applications from veterans and military spouses. All your information will be kept confidential according to EEO guidelines. You may request reasonable accommodations by sending an email to [email protected].