Senior Data Analyst

As a Senior Data Analyst, you will play a crucial role in our data-driven decision-making process. You will be responsible for turning raw data into actionable insights that will shape our product strategy and drive business growth. This role requires a deep understanding of product analytics, a strong technical skillset, and a forward-thinking mindset to leverage AI in your analysis.

Responsibility :

• Design and build insightful and user-friendly dashboards and reports in Tableau to track key product metrics and performance indicators.

• Utilize Snowflake and dbt to build and maintain robust and scalable data models and pipelines for our analytics needs.

• Conduct in-depth product analysis to identify trends, patterns, and opportunities for product improvement and growth.

• Write complex SQL queries and use Python to perform advanced data analysis

• Collaborate with product managers, engineers, and other stakeholders to understand their data needs and provide them with the insights they need to make informed decisions.

• Proactively identify and explore new ways to leverage AI and machine learning to enhance our analytical capabilities and unlock new insights from our data.

• Communicate your findings and recommendations effectively to both technical and non-technical audiences.

Qualifications:

• Proven experience as a Data Analyst or in a similar role, with a focus on product analytics.

• 3-5 years of experience.

• Expert-level proficiency in SQL.

• Strong experience with data visualization tools, particularly Tableau.

• Hands-on experience with cloud data warehouses like Snowflake and data transformation tools like dbt.

• Proficiency in Python for data analysis and scripting.

• A strong analytical mindset with the ability to think critically and solve complex problems.

• A proactive and curious mindset with a strong desire to learn and experiment with new technologies, especially in the realm of AI.

• Excellent communication and collaboration skills.

Added Advantage:

• Experience with other BI tools like Looker or Power BI.

• Experience with statistical analysis and machine learning.

• Familiarity with product analytics platforms like Amplitude or Mixpanel.

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