About the role The Data Analyst will support business decisionmaking by extracting cleaning and visualizing data from multiple sources. This onsite position works closely with product finance and marketing teams to turn raw data into actionable insights.
Key responsibilities
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 crossfunctional teams to define data requirements and ensure data quality.
Document data definitions processes and analytical methodologies.
Support adhoc data requests and contribute to continuous improvement of reporting processes.
Required qualifications
13 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 dataanalysis libraries such as pandas and NumPy.
Strong analytical mindset with the ability to translate business questions into datadriven solutions.
Excellent written and verbal communication skills for presenting insights to nontechnical audiences.
Nice to have
Experience with data visualization tools (e.g. Tableau Power BI or Looker).
Familiarity with statistical analysis or machinelearning concepts.
Knowledge of data warehousing concepts and ETL processes.
Exposure to cloud platforms such as AWS GCP or Azure.
Required Skills:
SQL Excel Python
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