Data Analyst

Candidates typically face a 30‑minute online aptitude test followed by a technical interview focusing on SQL queries, data cleaning techniques, and dashboard creation. The HR round assesses communication skills and cultural fit. Preparation should include practicing case‑based analytics questions and reviewing basic statistics.

Not specified promotes a merit‑based work culture with a focus on continuous learning and teamwork. Employees enjoy flexible working hours, regular knowledge‑sharing sessions, and a balanced approach to work‑life integration.

Bachelors degree in Data Science, Statistics, Computer Science, Mathematics, or a related field; minimum 60% aggregate (or CGPA 6.5/10); no backlogs at the time of joining; batch year 2022‑2025 acceptable for freshers; strong academic record in quantitative subjects.

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (SQL & Data Visualization) → Round 3: HR Interview (cultural fit and communication)

Company Overview: Not specified is an emerging data‑driven solutions provider headquartered in Gurgaon, catering to a diverse set of clients ranging from e‑commerce platforms to fintech startups. The firm leverages modern analytics, business intelligence, and AI techniques to transform raw data into actionable insights that fuel strategic decision‑making. With a culture that encourages continuous learning, the organization invests heavily in upskilling its talent through certifications, internal hackathons, and mentorship programs. Over the past few years, Not specified has expanded its footprint across North India, establishing a reputation for delivering high‑impact analytics projects on tight timelines. Role Summary: The Data Analyst will be a key member of the analytics team, responsible for turning complex data sets into clear, visual narratives that guide business strategies. Working closely with product, marketing, and operations units, the analyst will gather requirements, clean and transform data, build dashboards, and develop predictive models that forecast key business outcomes. This role offers a blend of technical rigor and business acumen, making it ideal for fresh graduates eager to make a measurable impact. Key Responsibilities: 1. Analyze large, heterogeneous data sets to uncover trends, patterns, and actionable insights. 2. Design, develop, and maintain interactive dashboards and reports using Tableau or Power BI. 3. Collaborate with business stakeholders to gather requirements and translate them into analytical solutions. 4. Perform data cleaning, transformation, and validation to ensure data quality and integrity. 5. Build automated reporting pipelines that deliver timely metrics to leadership. 6. Define, monitor, and report on key performance indicators (KPIs) across functional areas. 7. Conduct ad‑hoc analysis and generate custom reports to support urgent business needs. 8. Apply statistical techniques and machine learning models to predict future business scenarios. 9. Provide data‑driven recommendations for process improvements and operational efficiencies. 10. Ensure compliance with data security policies and regulatory standards. Tech Stack: SQL, Microsoft Excel, Tableau / Power BI, Python (pandas, NumPy, scikit‑learn), ETL tools (e.g., Talend, Apache Airflow), Git for version control. Growth Path: Starting as a Data Analyst, high performers can progress to Senior Analyst, Analytics Lead, and eventually to roles such as Data Scientist or Analytics Manager, with opportunities to lead cross‑functional projects and influence product strategy. Why Join Not specified? The company offers a fast‑paced environment where fresh talent gets exposure to end‑to‑end analytics workflows. Employees benefit from a collaborative culture, competitive compensation, and a clear roadmap for career advancement. If you are passionate about turning data into business value, Not specified provides the platform and mentorship to accelerate your growth.