India Ka Sabse Favourite Career Coach - AB ONLINE BHI!
ALLEN Digital is the digital wing of Kota's highly reputed ALLEN Career Institute Pvt Ltd, which lets you experience the legacy of Kota Coaching with the best faculty, study material and pedagogy.

What does ALLEN Digital bring to you?

✅ More than 3 decades of legacy in career excellence
✅ Trust of more than 2.7 million students since 1988
✅ Pedagogy created by experts
✅ Online learning with live interactive classes and recorded videos

Our digital platform is developed to make online learning effortless and engaging. The faculty ensures that every child gets the attention they need to help them grow and gain confidence for competitive exams like JEE, NEET, PNCF (Class 6th to 10th) & Olympiads.

ALLEN Digital aims to transform students into skilled, confident, and curious learners who can express themselves, unleash their potential, and make their dreams come true.

Allen Digital

<div><strong>About Allen Digital</strong></div><div><br></div><div>After dominating the offline market of ‘Tutoring’, Allen Careers has set out to build the next big thing to happen to ‘Education’. Allen Digital aims to build an EdTech platform to provide students with everything that a classroom cannot. Allen Digital was created as a strategic partnership between Allen Careers Institute and Bodhi Tree Systems to ensure tech enablement for millions of students. We are backed by some of the best names in – media, business, education, and technology. This is a start-up, which has a reputed team, strong investors, and a legacy. If building 0 to 1 excites you and you want to work with a team of proven leaders, please reach out to us.</div><div><br></div><div><strong>About Role</strong></div><div><br></div><div>As a Manager – Analytics, you will be leading a data-savvy team highly passionate about quantitative analytics, analytical tools, and techniques that would enhance product growth/performance. You will coordinate across teams such as product functions, data sciences &amp; operations creating an analytical framework to dissect business, product, adoption, retention, and revenue. You will take initiative to build hypotheses around product problem statements and estimate the scope and impact of solutions. Additionally, you will conduct analysis – gather data, test hypotheses, deliver tactical statistical solutions, and provide final business recommendations while working in collaboration with the Product, Marketing, and Engineering teams.</div><div><br></div><div><strong>Job Responsibilities:</strong></div><div><br></div><ul><li>Lead a team of highly capable analysts to drive the entire business unit with analytics and insights</li><li>Align with the necessary stakeholders while arriving at a strategy, with a keen insight on possible solutions to potential blockers and bottlenecks w.r.t to data analytics/management</li><li>Develop a deep understanding of core products and technologies within payments</li><li>Owning &amp; providing analytical support to an entire product vertical of the company</li><li>Work closely with cross-functional teams on critical projects and independently develop solutions while leveraging data-driven insights to shape immediate product strategy</li><li>Drive the end-to-end analytics stack on business problems; from metric definitions to working with engineering teams to build data schemas and elements to bring out insights</li><li>Work with large, complex data sets to solve day-to-day evolving business problems and optimize run time to bring quicker &amp; effective results</li><li>Work alongside the engineering and data-science team to produce advanced statistical</li><li>solutions along with extending help in developing state-of-art scientific solutions.</li><li><br></li></ul><div><strong>Desired Skills &amp; Expectations:</strong></div><div><br></div><ul><li>5+ years of experience in Analytics &amp; Decision Sciences with strong analytical and problem-solving skills, with the ability to analyze complex data sets and provide insights that drive business decisions</li><li>Proficiency in data analytics tools such as SQL, Python, R, Tableau, or Power BI and advanced Excel</li><li>Flexible and adaptable in regards to learning and understanding new technologies 3-6 Years of Data/Product Analytics expertise; 1-2 Years of leadership experience</li><li>Excellent communication and interpersonal skills, with the ability to work collaboratively with cross-functional teams</li><li>Bachelors in Engineering, Mathematics, or Economics from any of the top-tier colleges</li></ul>