We are looking for a highly motivated and analytical individual to join our team as a Business Analyst - I. In this role, you will collaborate closely with our client success team to analyze business processes, gather requirements, and support data-driven decision-making for our organization. This position offers an excellent opportunity for someone with strong business acumen and a passion for data to advance their career in analytics.
Responsibilities
- Track business KPIs and develop a deep understanding of the entire data funnel, identifying key opportunities for growth and optimization.
- Collaborate with diverse stakeholders during strategy development and implementation to identify and address data and analytical requirements.
- Empower internal and external stakeholders by making data features accessible
- Convert a business problem into a data problem and have an intuition of how it can be solved
- Identifying and resolving customer friction points by leveraging data-driven, scalable insights to influence outcomes. Leading independent discussions on planning, design, and execution of analytics with a variety of stakeholders.
- Adhering to structural processes and continually working on enhancing the work mix for the team.
- Streamlining and automating processes to minimize time spent on data management and reporting tasks.
- Responsible for influencing and driving strategic bets in the technology space leveraging Data and Analytics.
Requirements
- SQL, Python (basic to intermediate), Advanced Excel, PowerPoint skills, and an understanding of data warehouse architecture
- Experience with Metabase (or any other BI tool), ideally at a leading management consulting, financial services, or marketing company.
- Preferred understanding of inferential statistics & related methodologies β Distributions, Hypothesis Testing, Regression, Classification
- The candidate should have real-world problem-solving experience with large, complex datasets. They should be able to derive trends and patterns from the existing or derived datasets.
- Effective task owner who understands business problems and current business trends, responsible for improving financial and business performance.
- Basic understanding of business and financial terminologies
Qualification
- Bachelor's degree (B.Tech., B.E., B.S., or B.A.) in a quantitative field such as Engineering, Statistics, Applied Econometrics, Mathematics, Computer Science, or other related core sciences, or in Economics/Finance, combined with SQL and Python skills and 1-2 years of analytics experience across various functions. Alternatively, a masterβs degree in a similar field or an MBA with 0-2 years of analytics experience and exposure to diverse functions is also suitable.
- The candidate should have a strong understanding of visualization techniques and excel at creating dashboards and storytelling for customer presentations. Additionally, you possess domain expertise in areas such as FinTech, EdTech, Logistics, or similar industries.
- Intellectual curiosity, passion for problem-solving, and comfort with ambiguity
- High energy and a desire to work in a results-oriented, fast-growth environment
- Ability to thrive in a cross-functional environment while juggling multiple responsibilities
Logistics
- Location - Noida
- Compensation: Competitive!
- Joining - ASAP!
Why should you consider us seriously?
- We believe that long-term, people over product and profits, prioritize culture over everything else. See Glassdoor reviews.
- We are a well-balanced team of experienced entrepreneurs and are backed by top investors across India and Silicon Valley (Chiratae Ventures, Blume Ventures, Abstract Ventures, Emergent Ventures; Senior execs at Google, Square, Genpact & Flipkart; Co-founders of Infosys, Snapdeal, Slideshare, Zomato, etc.)
- Freedom and Responsibility π¦
- Entrepreneurial Team πͺ
- Exponential Growth π
- Healthcare (Physical & Mental Wellness) π
Please Note:
SquadStack is committed to a diverse and inclusive workplace. SquadStack is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.