Senior Data Analyst - Python / SQL

spinnaker AnalyticsIndia

2 days ago

Job description

Description : Role Overview :

As a Senior Data Analyst, you will lead data analysis initiatives, design analytical models, and support strategic decision-making through data-driven insights.

You will collaborate closely with cross-functional teamsincluding product, marketing, finance, engineering, and operationsto understand business challenges and provide analytical solutions.

Key Responsibilities :

Analyze large datasets from multiple sources to identify trends, patterns, and insights.
Build dashboards, reports, and visualizations to support KPIs, OKRs, and business performance tracking.
Conduct deep-dive analysis for problem-solving and strategic planning.
Translate complex data findings into clear, actionable recommendations for leadership.
Develop and maintain scalable data models, pipelines, and ETL processes.
Ensure data accuracy, integrity, and consistency across all data sources.
Collaborate with data engineering teams to improve data architecture and data warehouse design.
Perform statistical and predictive modeling using advanced analytics techniques.
Partner with business leaders to define analytics requirements and metrics.
Lead analytical projects end-to-end, including scoping, data extraction, analysis, and presentation.
Provide mentorship and guidance to junior analysts on best practices and analytical approaches.
Present findings to senior management and influence key strategic decisions.
Use BI / reporting tools such as Tableau, Power BI, Looker, or Qlik to create dashboards and visualizations.
Utilize SQL for advanced data interrogation and manipulation.
Employ Python or R for statistical analysis, data modeling, and automation.
Work with cloud data platforms (AWS, GCP, Azure), data warehouses like Snowflake, BigQuery, or Redshift.

Required Qualifications :

Bachelor's or Masters degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field.

4 to 6+ years of experience in data analysis or business analytics.

Expert-level proficiency in SQL and strong experience with data warehouses.

Strong analytical thinking, statistical knowledge, and problem-solving abilities.

Experience with data visualization tools (Tableau, Power BI, Looker, etc.

Hands-on experience with Python or R for analysis and modeling.

Strong understanding of A / B testing, forecasting, experiment design, and statistical modeling.

Ability to manage multiple projects simultaneously in a fast-paced environment.

Excellent communication skills with the ability to present insights to non-technical stakeholders

(ref : hirist.tech)

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Senior Data Analyst • India