Data Analyst

Role : Data Analyst

Experience : 5 - 7 yrs

Location : Chennai

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 thats helping create meaningful and lasting change in the financial industry.

The Company and Role :

MX is on a mission to improve the financial lives of everyone and, for this reason, were 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 were looking for smart, driven, creative individuals to come build with us

The Data Science and Analytics department at MX is focused on solving analytically complex problems using statistical and machine learning methods, enhancing the information value of our core data assets, and rigorously measuring the performance of our products. The work is challenging, engaging, and directly influences MXs portfolio of products and services. If youre keen to conduct careful analyses focused on core business problems in a fast-paced, intellectually engaging environment, youll enjoy working at MX as a Data Analyst.

Job Description :

As a Data Analyst within the Data Science and Analytics department, youll 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, youll expand your analytic skills while discovering new correlations and predictive relationships using MXs expanding, world-class data asset.

Eager to learn, youll 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 MXs thriving analytic organization, youll 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 youll be rewarded and recognized for your high-caliber work.

What youll get to do :

- Work with massive datasets related to financial transactions to identify ways to cleanse that data for MXs customers

- Work with teammates from the data analytics and data science functions to build new tools and methods that strengthen MXs data platform

- Identify patterns and trends within our data and use that information to improve MXs products

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

- Contribute to presentations and memoranda that communicate key messages and findings to colleagues and senior leaders

Youll 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 (e.g., 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

Youll 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 love it because :

- The Data Science and Analytics department is dedicated to solving important and high-impact questions

- Youll have the opportunity to work in a successful, fast moving, mission-driven company

- Youll access growth opportunities and collaborate with highly motivated, intellectually curious, and genuinely nice colleagues

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.

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 MXs 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. (ref:hirist.tech)

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