Data Management Analyst

Round 1: Online assessment (aptitude, logical reasoning, basic data concepts) → Round 2: Technical interview (SQL, data quality scenarios, problem‑solving) → Round 3: HR interview (fit, culture, career aspirations)

Wells Fargo promotes a collaborative and inclusive work environment where employees are encouraged to share ideas and take ownership of their projects. The company offers structured career growth, regular learning sessions, and a healthy work‑life balance supported by flexible policies.

Wells Fargo’s interview process typically starts with a timed online assessment that tests quantitative aptitude, logical reasoning, and basic SQL concepts. Successful candidates move to a technical interview where they discuss data quality scenarios, SQL queries, and data profiling techniques. The final HR round focuses on cultural fit, communication skills, and career goals. Preparation should include practicing data‑related case studies and reviewing governance best practices.

Bachelor's degree in Computer Science, Information Technology, Data Science, Business Administration, or related fields; minimum 60% aggregate (or CGPA 6.0/10); fresh graduates of 2025 or 2026 batches; no active backlogs at the time of joining; strong analytical mindset and willingness to learn data governance practices.

Wells Fargo is one of the world’s largest diversified financial services companies, operating in more than 35 countries with a strong presence in the United States and a growing footprint in India. In India, the bank focuses on technology‑driven solutions, risk management, and data‑centric services that support its global operations. The company’s culture emphasizes integrity, collaboration, and continuous learning, offering employees the chance to work on high‑impact projects that shape the future of banking. As a Data Management Analyst based in Bengaluru, you will become a key player in ensuring the accuracy, consistency, and reliability of data across the organization. You will work closely with business stakeholders, data engineers, and compliance teams to identify data quality gaps, enforce governance standards, and drive remediation initiatives. This role is ideal for candidates who enjoy translating complex data problems into actionable solutions while adhering to strict regulatory requirements. Key responsibilities include: 1. Participate in analysis to identify and remediate data quality or integrity issues. 2. Conduct data quality audits and define metrics to benchmark data health. 3. Design and monitor data governance, data quality, and metadata policies. 4. Document requirements, design decisions, and remediation updates. 5. Perform medium‑risk data profiling, business analysis, and data mapping for root‑cause analysis. 6. Support regulatory reporting and compliance requirements. 7. Recommend initiatives to assess and improve the quality of new data sources. 8. Maintain business and technical metadata in collaboration with technology partners. 9. Consult with internal clients to assess current data quality status. 10. Communicate findings and action plans to cross‑functional teams. The typical tech stack for this role includes SQL for data extraction, Python or R for data profiling, data‑governance platforms such as Collibra or Alation, and visualization tools like Tableau or Power BI. Familiarity with cloud environments (AWS/GCP) and ETL tools is a plus. Career growth at Wells Fargo is structured and transparent. Starting as a Data Management Analyst, high performers can advance to Senior Analyst, then to Data Governance Lead, and eventually to Manager or Director of Data Quality. The organization invests heavily in upskilling through internal training programs, certifications, and mentorship, ensuring that analysts stay ahead of industry trends. Why join Wells Fargo? You will be part of a globally recognized financial institution that values ethical conduct and innovation. The role offers exposure to large‑scale data ecosystems, opportunities to work with seasoned data professionals, and a supportive environment that encourages continuous improvement. Moreover, the company’s commitment to diversity, inclusion, and work‑life balance makes it an attractive place for fresh talent to launch a rewarding career in data management.