Data Analyst

About the role - The Data Analyst will support business decision-making by extracting, cleaning, and visualizing data from multiple sources. This on-site position works closely with product, finance, and marketing teams to turn raw data into actionable insights., * Write and optimize SQL queries to retrieve accurate data from relational databases.

• Develop and maintain Excel dashboards and reports for senior stakeholders.
• Use Python (pandas, NumPy) to clean, transform, and analyze large datasets.
• Identify trends, patterns, and anomalies and present findings in clear visual formats.
• Collaborate with cross-functional teams to define data requirements and ensure data quality.
• Document data definitions, processes, and analytical methodologies.
• Support ad-hoc data requests and contribute to continuous improvement of reporting processes.

Data Analysis, Finance, Marketing, SQL (Structured Query Language), Relational Databases (RDBMS), Query Optimization, Reporting Dashboards, Python Programming/Scripting Language, Data Sets, Analysis Skills, * 1-3 years of professional experience as a Data Analyst or in a similar analytical role.

• Proficiency in SQL, including joins, subqueries, and performance tuning.
• Advanced Excel skills (pivot tables, VLOOKUP, Power Query, macros).
• Solid Python programming ability, especially with data-analysis libraries such as pandas and NumPy.
• Strong analytical mindset with the ability to translate business questions into data-driven solutions.
• Excellent written and verbal communication skills for presenting insights to non-technical audiences.

Nice to have

• Experience with data visualization tools (e.g., Tableau, Power BI, or Looker).
• Familiarity with statistical analysis or machine-learning concepts.
• Knowledge of data warehousing concepts and ETL processes.
• Exposure to cloud platforms such as AWS, GCP, or Azure.