Manager, Data Analytics

Life at MX

We are driven by our moral imperative to advance mankind - and it all starts with our people, product and purpose. We always carry a deep sense of drive and passion with us.

If you thrive in a challenging work environment, surrounded by incredible team members who will help you grow, MX is the right place for you.

Come build with us and be part of an award-winning company that’s helping create meaningful and lasting change in the financial industry.

The Data Science and Analytics (DSA) department is hiring a Manager, Data Analytics to lead a team responsible for analyzing end-user / operational data, preparing data for advanced analytics treatment, and a range of data quality and enhancement activities.

As a leader within the core analytics function, you’ll influence MX’s product roadmap using your business acumen, decision quality, operational planning, and knack for thinking about future possibilities and generating ideas.

Moreover, your staff will support data science modeling work and be responsible for describing how people use our products.

You’ll develop data-driven insights that improve decision-making, investments, and execution within our product suite, and work cross-functionally with colleagues from the product, research, design, and engineering teams.

Like all members of the DSA team, you’ll also work closely with data engineering and business technology to burnish and defend the integrity of our data culture.

The ability to inspire, develop, and manage staff is essential, as are solid project management skills and a talent for transforming data and analytic results into digestible and engaging stories.

Job Duties

Build, develop, and manage a high-performing team of 5-8 data analysts through direct coaching and mentorship focused on analytical methods, statistics, product and operational analytics, data visualization, storytelling, and personal career development

Lead the creation of new features to enhance MX’s world-class classification and categorization engine

Working with MX’s data scientists, support a wide range of advanced analytics / modeling work focused on bank deposits and consumer behaviors

Support core data engine functionality, including creating / updating system transaction rules, validating model prediction, system performance evaluation, and data / code audits

Develop metrics to measure product reach / effectiveness and user sentiment

Collaborate closely with product leaders to understand how MX products are used in the marketplace and provide recommendations to increase impact and engagement

Collaborate with the DSA leadership team to guide roadmap development and prioritization

Lead the design and creation of new data assets and drive data initiatives beyond our current product portfolio

Deliver presentations and memoranda to communicate key findings to colleagues and senior leaders

Act as operational manager on some key initiatives and fill the Scrum Master role for weekly planning ceremonies

Job Requirements

Bachelor’s degree (with quantitative coursework), Master’s degree preferred

Professional background likely to include (a) 4+ years of hands-on experience in data analytics and (b) 2+ years of experience managing an analytics team

Proficiency in SQL and / or Python coupled with broad exposure to dashboards and data visualization methods, descriptive and inferential statistics, and data quality analyses;

prior exposure to cloud or distributed data warehouses would also be helpful

Critical thinking skills, intellectual curiosity, and a willingness to keep looking for better solutions and to ask difficult questions about our current approaches

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

Passion for mentoring, solid communication and managerial skills enabling cross-functional collaboration

Present findings and answer technical questions for external clients and support revenue in client calls

Work Environment

At MX, we utilize a hybrid work model, which allows us to attract top talent and increase impact through collaboration. Our team members enjoy a balance of remote work and in-office days.

Travel expectations for remote employees is about 15%, and the company covers travel expenses for remote employees. Local employees will utilize in-office time on a weekly basis Tuesday through Thursday.

Both local and remote employees can take advantage of our incredible office space with onsite perks like company-paid meals, onsite massage therapist, golf simulator, barber, and meditation room to name a few.

Compensation

The 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 $129,500 to $155,000.

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.

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].