PowerBI + SQL+ Tableau(Banking Domain) ( Full-time at a Fortune 500 tech MNC )

HARP; India; Vor Ort; INR 1.200.000 - 2.000.000; Vollzeit

Zusammenfassung

A leading technology firm in India is seeking a Mid-Senior level data analyst with 8–10 years of experience. The ideal candidate will have expertise in Power BI, SQL, and Python, along with a strong background in the banking or wealth management domain. Responsibilities include developing dashboards and presenting insights to senior stakeholders. This is a full-time position requiring immediate availability.

Qualifikationen

• 8–10 years of total experience in data analytics and business intelligence.
• Proven expertise in Power BI and SQL, with working experience in Python.
• Prior exposure to Banking or Wealth Management analytics projects.

Aufgaben

• Develop, maintain, and optimize interactive dashboards and reports.
• Perform data extraction, transformation, and analysis using SQL and Python.
• Collaborate with stakeholders to translate requirements into analytical solutions.

Kenntnisse

Power BI / Tableau / Qlik

Python

SQL

Domain Knowledge (Banking / Wealth Management)

Analytical & Problem-Solving

Collaboration

Jobbeschreibung

PowerBI + SQL+ Tableau (Banking Domain) (Full-time at a Fortune 500 tech MNC)

• Develop, maintain, and optimize interactive dashboards and reports using Power BI, Tableau, or Qlik.
• Perform data extraction, transformation, and analysis using SQL and Python (Pandas, NumPy).
• Work with large, complex datasets to identify trends, patterns, and business opportunities.
• Collaborate with stakeholders across business and technical teams to understand requirements and translate them into analytical solutions.
• Support data modeling, data quality improvement, and data-driven decision-making initiatives.
• Present insights and recommendations effectively to senior stakeholders.

Primary Skills:

• Power BI / Tableau / Qlik – advanced data visualization and dashboarding skills.
• Python – strong hands‑on experience in data analysis using Pandas, NumPy.
• SQL – proficient in querying, data management, and working with large datasets.
• Domain Knowledge – Banking / Wealth Management experience is mandatory.
• Analytical & Problem‑Solving – ability to derive insights and solve complex data challenges.
• Collaboration – experience working in cross‑functional, agile teams.

Secondary Skills:

• Strong written and verbal communication skills with the ability to present data insights clearly.
• Ability to analyze problems, propose data‑driven solutions, and implement effectively.

Ideal Candidate Profile:

• 8–10 years of total experience in data analytics and business intelligence.
• Proven expertise in Power BI + SQL, with working experience in Python.
• Prior exposure to Banking or Wealth Management analytics projects.
• Available to join immediately or within 30 days

Seniority level

Mid‑Senior level

Employment type

Full-time

Job function

Information Technology

Industries

IT Services and IT Consulting