Welcome to FinBox, the buzzing hive of tech innovation and creativity!
Since our inception in 2017, FinBox has built some of the most advanced technologies in the financial services space that help lenders like Banks, NBFCs and large enterprises build and launch credit products within a matter of days, not months or years. FinBox is a Series B funded company which is expanding globally with offices in India, Vietnam, Indonesia and Philippines.
Our vision is to build the best-in-class infrastructure for lending products and help Banks & Financial Services companies across the world scale and launch credit programs that set a new standard in the era of digital finance. So far, we’ve helped our customers disburse Billions of Dollars in credit across unsecured and secured credit including personal loans, working capital loans, business loans, mortgage and education loans. FinBox solutions are already being used by over 100+ companies to deliver credit to over 5 million customers every month.
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Innovative Environment: At FinBox, we foster a culture of creativity and experimentation, encouraging our team to push the boundaries of what's possible in fintech.
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Impactful Work: Your contributions will directly impact the lives of millions, helping to provide fair and accessible credit to individuals and businesses alike.
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Growth Opportunities: We are a Series B funded startup and have ample opportunities for growth, professional development and career advancement.
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Collaborative Culture: Join a diverse and inclusive team of experts who are passionate about making a difference and supporting one another.
At FinBox, we’re on the lookout for exceptional folks who are all about innovation and impact. If you’re excited to shake things up in the banking & financial services world, keep reading!
Creative Thinkers: If your brain is always bubbling with out-of-the-box ideas and wild solutions, you’re our kind of person. We love disruptors who challenge the norm and bring fresh perspectives to the table.
Customer Heroes: Our customers are our champions, and we need heroes who can understand their needs, deliver magical experiences, and go above and beyond to keep them happy.
Team Players: We believe in the power of “we.” If you thrive in a collaborative environment, value different viewpoints, and enjoy being part of a spirited, supportive team, you’ll fit right in.
We are looking for an experienced and hands-on Data Analytics Manager with 5+ years of experience to drive data-informed decision-making across the organization. The role will involve owning high-impact analytics initiatives, solving complex business problems through data, and working closely with Product, Engineering, Business, and other cross-functional teams.
The ideal candidate should combine strong technical and analytical capabilities with excellent business understanding and stakeholder management skills. You will also have opportunities to mentor and guide junior analysts on projects and analytical best practices when required.
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Own and drive end-to-end analytics initiatives, from understanding business problems and defining metrics to analysis, insights, and recommendations.
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Partner closely with Product, Engineering, Sales, Operations, Finance, and Business teams to identify opportunities and solve complex business problems using data.
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Analyze large and complex datasets to identify trends, patterns, opportunities, and potential business risks.
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Translate analytical findings into clear, actionable insights and recommendations that support business and product decisions.
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Define, track, and monitor key business and product metrics to measure performance and identify areas for improvement.
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Design and build dashboards, reports, MIS, and data visualizations that enable stakeholders to effectively monitor and understand business performance.
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Develop analytical frameworks, methodologies, and processes to improve the quality, scalability, and efficiency of analytics.
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Ensure accuracy, consistency, and reliability of data and analytical outputs.
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Automate recurring reports and analytics processes wherever possible to improve efficiency and reduce manual effort.
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Present analytical insights and recommendations to senior stakeholders, clearly communicating the business impact and underlying data.
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Stay updated with emerging analytics tools, technologies, and industry best practices and identify opportunities to improve the organization’s analytics capabilities.
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Provide occasional mentoring and guidance to junior analysts, helping them with analytical approaches, problem-solving, and best practices.
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Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or a related field. A Master’s degree is a plus.
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5+ years of experience in Data Analytics, Business Analytics, Product Analytics, or a related field.
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Strong hands-on expertise in SQL and proficiency in Python for data analysis, automation, and problem-solving.
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Strong experience with data visualization and BI tools such as Tableau, Power BI, Looker, or similar platforms.
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Experience working with large datasets and using data to solve complex business problems.
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Strong understanding of business metrics, KPIs, data modeling, statistical concepts, and analytical methodologies.
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Demonstrated ability to independently own analytics projects from requirement gathering through execution and delivery.
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Strong stakeholder management skills, with the ability to work effectively with technical and non-technical teams.
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Excellent communication and presentation skills, with the ability to simplify complex data and communicate insights effectively to senior stakeholders.
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Strong business acumen and the ability to connect data and analytics with business outcomes, product decisions, and growth opportunities.
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Ability to work independently in a fast-paced and ambiguous environment, prioritize effectively, and take ownership of deliverables.
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A collaborative mindset with an interest in mentoring and supporting junior team members when required.
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Opportunity to work on high-impact business and product problems where analytics directly influences decision-making.
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High degree of ownership and autonomy in driving analytics initiatives.
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Collaborate closely with Product, Engineering, Business, and senior leadership teams.
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Opportunity to remain hands-on with data and analytics while influencing strategic business decisions.
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Exposure to diverse and challenging problems in a fast-paced environment.
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Opportunities to mentor junior team members and contribute to building a strong analytics culture.
