We are fueled by a moral imperative to advance mankind, and it all begins with our people, our product, and our purpose. Passion isn’t something we turn on and off; it’s woven into everything we do. If you thrive in high-challenge environments, are inspired by exceptional teammates, and are driven to grow beyond what you thought possible, MX is where you belong.
Come build the future with us. Join an award-winning company that isn’t just shaping the financial industry, but transforming it in ways that create meaningful, lasting impact for millions of people.
MX is on a mission to improve the financial lives of everyone and, for this reason, we’re creating innovative software designed to bring financial freedom to the lives of individuals, families, and communities. Our products help consumers understand and manage their financial data, improve their financial decision-making, and strengthen connections between financial institutions and their customers. We believe that data are central to every important financial action and we’re looking for smart, driven, creative individuals to come build with us!
The MX Product team is responsible for building world-class financial tools that leverage our unrivaled data assets. As consumers and institutions interact with these tools, new insights and information are created that can be transformed into even better products. In service to creating the industry's most compelling products, the Operational Analytics Team takes the lead on the company’s most computationally and analytically complex problems. If you’re keen to conduct careful analyses focused on core business problems, operational analysis, and instrumentation in an intellectually engaging environment, you’ll enjoy working at MX as a Product Analyst.
As a Product Analyst, you’ll partner with colleagues from the Product and Analytics 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 analytical skills to discover new correlations and predictive relationships using MX’s expanding, world-class data assets. Eager to learn, you’ll also look for ways to enhance your analytical toolbox through side-by-side training and self-directed study. The ability to interpret and communicate analytical 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.
As part of MX’s thriving analytics 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. MX’s values are central to the company’s success, and you’ll live by questioning assumptions and taking initiative, advancing our data-driven approach to solving problems, and showing empathy and a commitment to radical honesty in equal measure.
Job ResponsibilitiesWork with colleagues from the product and analytics 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
Bachelor’s degree, including quantitative coursework (e.g., Mathematics, Physics, Statistics, Computer Science, or similar)
1-3 years’ experience with operational, financial, or marketing analytics (likely including building dashboards and KPIs and analyzing product performance metrics)
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) is preferred
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 feedback, and production of high-quality work that builds trust and confidence with stakeholders
Proven experience presenting analytical results to managers and teammates
Familiarity with Python or other statistical programming languages for data manipulation, analysis, and visualization.
Hands-on experience working in modern data science environments (e.g., cloud platforms like AWS/GCP, Jupyter notebooks, version control systems like git).
Prior professional experience in fintech, financial services, or high-growth SaaS environments.
Proficiency with Excel, including complex formulas, pivot tables, and data modeling.
Experience building or optimizing analytics infrastructure, ETL pipelines, or data warehouse implementations.
Compensation
The expected earnings for this role could be comprised of a base salary and other forms of cash compensation, such as bonus or commissions as applicable.
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 applicants applying for this position must have the legal right to work in India without the need for sponsorship. We are unable to provide work sponsorship for this role, and candidates should be able to verify their eligibility to work in the country independently. Proof of eligibility to work in India will be required as part of the hiring process.
Work Environment
In this role, a significant aspect of the job involves working in the office for a standard 40-hour workweek. We believe that the collaborative nature of our work and the face-to-face interactions among team members are essential for fostering a dynamic and productive work environment. Being present in the office enables seamless communication, facilitates quick decision-making, and encourages spontaneous collaboration that contributes to the overall success of our projects. We value the synergy that comes from having our team members physically together, allowing for immediate problem-solving, idea exchange, and team building.
Skills Required
- Bachelor's degree with quantitative coursework in mathematics, physics, statistics, computer science, or a related field
- 1-3 years of experience in operational, financial, or marketing analytics
- Proficiency with at least one database query language, such as SQL
- Critical thinking, attention to detail, and results orientation
- Ability to tackle demanding goals with enthusiasm and tenacity
- Commitment to client needs, constructive feedback, and high-quality stakeholder work
- Experience presenting analytical results to managers and teammates
- Familiarity with Python or another statistical programming language
- Experience with modern data science environments, including cloud platforms, Jupyter, or Git
- Professional experience in fintech, financial services, or high-growth SaaS
- Proficiency with Excel, including complex formulas, pivot tables, and data modeling
- Experience building or optimizing analytics infrastructure, ETL pipelines, or data warehouses
- Legal right to work in India without employer sponsorship
What We Do
MX Build is an all-in-one field service management and financial operations platform designed for residential contractors and service businesses. The company provides tools for estimating, scheduling, invoicing, and customer management, integrated with financial automation and payment systems to streamline day-to-day operations. Its mission is to simplify workflows, improve cash flow, and support the profitable growth of contracting businesses.
