Data Analyst

Candidates typically face a timed aptitude test covering quantitative, logical, and verbal sections, followed by a technical interview focusing on SQL queries, data manipulation in Python, and basic statistics. The HR round assesses cultural fit, communication skills, and career aspirations. Preparation should include mock tests, revisiting core analytics concepts, and practicing clear articulation of past projects.

PlacementIndia.com fosters a collaborative environment where employees are encouraged to share ideas and take ownership of projects. The company offers regular learning sessions, flexible work hours, and a balanced approach to work‑life integration, ensuring freshers can grow without burnout.

Graduates (B.Tech/B.E., B.Sc., B.Com) in Computer Science, Statistics, Mathematics, Economics or related fields; Minimum 60% aggregate (or CGPA 6.0/10); Batch 2025 or 2026; No active backlogs at the time of joining; Strong analytical mindset and willingness to learn.

Round 1: Online Aptitude Test → Round 2: Technical Interview (SQL & Python) → Round 3: HR Interview

Smart Career, a fast‑growing recruitment solutions provider, has carved a niche in the Indian job market by connecting fresh talent with forward‑looking employers. Headquartered in Bangalore, the company leverages technology to streamline hiring processes for startups and mid‑size firms across sectors such as IT, BFSI, and e‑commerce. With a culture that encourages continuous learning, Smart Career invests heavily in employee upskilling, mentorship programs, and a collaborative environment that values data‑driven decision making. Over the past few years, the firm has expanded its footprint to multiple Indian metros, earning a reputation for transparent hiring practices and a supportive work atmosphere. The Data Analyst role is designed for recent graduates who are eager to translate raw data into actionable insights. Working remotely from Bangalore, the analyst will partner with product, marketing, and operations teams to uncover trends, build dashboards, and support strategic initiatives. This position offers a solid foundation in analytics, exposure to real‑world business problems, and the chance to grow into senior analytical or data‑science roles within the organization. **Key Responsibilities** 1. Collect, clean, and validate data from internal databases, APIs, and third‑party sources. 2. Perform exploratory data analysis using statistical techniques to identify patterns and anomalies. 3. Develop interactive visualizations and dashboards in Tableau or Power BI for stakeholders. 4. Write SQL queries and Python scripts to extract and transform large datasets. 5. Generate periodic reports summarizing key performance indicators and business metrics. 6. Collaborate with cross‑functional teams to understand data requirements and translate them into analytical solutions. 7. Document data pipelines, methodologies, and findings for reproducibility. 8. Assist in building predictive models and forecasting tools under senior guidance. 9. Conduct ad‑hoc analysis to support decision‑making in marketing, sales, and product development. 10. Continuously monitor data quality and suggest process improvements. **Tech Stack**: SQL, Python (pandas, numpy), Excel, Tableau/Power BI, Git, basic statistical packages (R or Python’s statsmodels). **Growth Path**: Starting as a Junior Analyst, high performers can progress to Senior Analyst, Analytics Lead, or transition into Data Science roles after acquiring advanced modeling skills. The company also offers certifications and internal workshops to accelerate career growth. **Why Join Smart Career?** The role provides a blend of hands‑on analytics work and strategic exposure, a supportive remote‑first culture, and a competitive salary of 5‑7 LPA for freshers. Employees benefit from mentorship, regular skill‑upgradation sessions, and a clear roadmap for advancement, making it an ideal launchpad for a data‑centric career.