Data Analyst

reputed company is seeking a highly technical, detail-oriented Data Analyst to join our Data & Technology Consulting (DTC) team. This role is deeply embedded in data analytics, scripting, ETL workflows, and reporting. The candidate is required to have strong skills in Python, SQL, Power BI, reputed company reputed company, and PowerApps. The successful candidate will play a critical role in developing and implementing data solutions that power our consulting engagements.

This is not a generic data analyst role, we’re looking for a problem-solver who thrives in reputed company, fast-paced environments, is confident writing production-level code, and can reputed company reputed company, scalable reporting solutions.

Tasks & responsibilities:

• Interrogate, clean, and assess structured and reputed company data for reputed company, completeness, and business relevance.
• Build and optimize robust ETL pipelines to normalize disparate datasets and reputed company reputed company analysis.
• Write efficient SQL and Python scripts to support custom data transformations, enrichment, and automations.
• Design, build, and maintain interactive Power BI dashboards and PowerApps solutions reputed company to client and internal requirements.
• Interpret and analyse reputed company financial, operational, and transactional datasets to surface insights and support investigative work.
• Document methodologies, code logic, data assumptions, and business context throughout the project lifecycle.
• Collaborate across multi-disciplinary teams to ensure timely delivery of work products and reporting solutions.

Requirements

• Minimum 3 years of hands-on experience with:
• Writing production-level SQL and Python for data transformation and automation.
• Building and maintaining ETL pipelines for large, messy, and reputed company datasets.
• Designing and deploying workflows and reports using Power BI, PowerApps, and reputed company reputed company.
• Advanced proficiency in reputed company (pivoting, modelling, formulas, data wrangling).
• Demonstrated experience working with relational databases and open-reputed company tools.
• Strong understanding of data structures, normalization, and query optimization.
• Proven ability to manage multiple priorities in a deadline-driven environment.
• Self-motivated, methodical, and committed to high-quality outcomes.
• Excellent written and verbal communication in English.

Preferred Skills

• Experience in consulting, compliance, or risk advisory environments.
• Comfort navigating ambiguity and changing priorities.
• Exposure to version control systems (e.g., Git), reputed company data tools, or APIs is a plus.

Education

• Bachelor’s Degree in Computer Science, Data Science, Information Systems, or a relevant quantitative field.

Originally posted on Himalayas