
Eligibility Criteria
Any graduate (UG) from 2019β2025 in BCA, B.Tech/B.E., B.Sc Computer Science, B.Com, B.A, BBA, BMS, BFA, MCA, M.Tech, MBA or any other relevant discipline. Minimum aggregate of 60% (or CGPA 6.0/10). No active backlogs at the time of joining. Candidates should have basic knowledge of data analysis tools and a strong willingness to learn.

Job Description & Key Responsibilities
Wisdom Bridge Consultants is partnering with a leading software product company that has carved a niche in delivering dataβdriven solutions to Fortuneβ500 clients across India and abroad. The organization prides itself on a culture of continuous learning, rapid innovation, and a flat hierarchy that encourages fresh ideas from every employee. With a robust portfolio ranging from enterprise analytics platforms to AIβenabled reporting tools, the company has consistently been recognized for its customerβcentric approach and strong growth trajectory.
As a Data Analyst / Reporting Associate Analyst, you will be at the heart of the business intelligence engine, turning raw data into actionable insights that drive strategic decisions. The role is ideal for recent graduates or earlyβcareer professionals who are passionate about data, possess a strong analytical mindset, and are eager to work in a fastβpaced, collaborative environment. You will work closely with senior analysts, product managers, and crossβfunctional teams to understand business requirements, design data pipelines, and deliver visual dashboards that tell compelling stories.
**Key Responsibilities**
1. Gather, clean, and validate data from multiple internal and external sources ensuring accuracy and completeness.
2. Develop and maintain daily, weekly, and monthly performance reports using advanced Excel, Power BI, or Tableau.
3. Perform exploratory data analysis to identify trends, anomalies, and opportunities for process improvement.
4. Build automated webβscraping solutions using BeautifulSoup, Selenium, or Webscrapper.io to ingest unstructured data.
5. Write efficient SQL queries for data extraction, transformation, and loading (ETL) tasks.
6. Create interactive dashboards and visualizations that enable stakeholders to monitor KPIs in real time.
7. Document data workflows, data dictionaries, and reporting standards for knowledge sharing.
8. Collaborate with the data engineering team to optimize data pipelines and improve data latency.
9. Participate in adβhoc analysis projects and present findings to senior leadership.
10. Continuously upskill by exploring new tools, techniques, and industry best practices.
**Tech Stack**: Python (pandas, NumPy, Jupyter), SQL (MySQL/PostgreSQL), Power BI, Tableau, Advanced MS Excel (PivotTables, VLOOKUP, macros), Web Scraping tools (BeautifulSoup, Selenium), Git for version control.
**Growth Path**: Starting as an Analyst, high performers can progress to Senior Analyst, then to Data Scientist or Business Intelligence Lead within 2β3 years, with opportunities to lead crossβfunctional projects and mentor new hires.
**Why Join?** The company offers a competitive salary, a fiveβday work week, exposure to cuttingβedge analytics technologies, and a clear career roadmap. The walkβin format provides a hassleβfree recruitment experience, and the supportive culture ensures that fresh talent can quickly make an impact while learning from seasoned professionals.