Design, clean, analyze, and visualize data using SQL and Python; build Tableau dashboards; apply statistics and basic ML/DS concepts; follow software/data-engineering practices (version control, unit testing, high-performance code); work with structured and unstructured data and cloud environments.
Skill: Data Analyst
Exp- 4-6 years
Location- Hybrid/Remote
Job description:
• SQL DDL and DML skills on structured and non-structured data base
• Python- Coding for data parsing, manipulation, aggregation and insight generation
• Good working knowledge of Statistics and sample methodologies
• Dashboard design and development in Tableau
Problem Solving
• Understanding the Problem
• Data Cleaning and Preparation
• Data Interpretation
• Data Visualization
• Basics of DS / ML
• Good working knowledge of Advanced Analytics,
• Basics understanding of DS / ML
• Exposure to cloud computing
• Software Engineering / Data Engineering Fundamentals
• Basic software design principals
• Unit testing
• Version control
• High performance code to work at scale
Similar Jobs
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Support liquidity analytics by monitoring and resolving issues in liquidity risk systems, performing data analysis and stored-procedure optimisation, developing proof-of-concept models, and creating dashboards (Tableau/Superset). Collaborate with technology and cross-functional teams, document processes, and contribute to continuous improvement of risk management tooling and visualisation.
Top Skills:
ExcelGoogle Cloud PlatformPythonSQLSupersetTableau
Fintech • Professional Services • Consulting • Energy • Financial Services • Cybersecurity • Generative AI
Perform gap analyses across trading data from multiple source systems, identify discrepancies, build automated reports using Python and SQL, create visualizations (Power BI or Python libraries), present findings to stakeholders, and coordinate with upstream/downstream teams to implement logic and document requirements.
Top Skills:
PandasPower BIPythonPython Visualization LibrariesSQL
Information Technology • Database • Consulting
Support data collection, cleaning, preprocessing, analysis, and reporting. Assist in creating data models and reports to inform business decision-making.
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
