6 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

We are looking for a detail-oriented and analytical Data Analyst to join our remote team. The ideal candidate will have strong experience working with large datasets, generating actionable insights, and supporting data-driven decision-making across departments. This role requires a deep understanding of data analysis tools, visualization platforms, and a knack for problem-solving.


Key Responsibilities:

Analyze large and complex datasets to identify trends, patterns, and insights


Develop, maintain, and automate reports and dashboards using tools like Power BI, Tableau, or Looker


Write complex SQL queries to extract and manipulate data from various sources


Collaborate with cross-functional teams (product, marketing, finance) to support data needs and business strategy


Present findings in a clear and concise manner to both technical and non-technical stakeholders


Ensure data accuracy, integrity, and consistency across all reporting channels


Create and maintain documentation related to data definitions, models, and reports


Assist in building predictive models and data pipelines as needed


Required Skills:

3–6 years of experience in a Data Analyst or similar role


Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL, Snowflake)


Strong experience with data visualization tools like Power BI, Tableau, or Google Data Studio


Proficient in Excel and comfortable with data modeling and pivot tables


Experience working with Python or R for data analysis is a plus


Strong communication skills and ability to explain complex data in simple terms


Attention to detail and ability to manage multiple projects simultaneously


Preferred Skills:

Knowledge of ETL processes and working with APIs or data connectors


Familiarity with cloud data platforms (AWS, GCP, or Azure)


Experience in A/B testing, forecasting, or statistical analysis


Background in e-commerce, finance, or SaaS analytics is a bonus

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