Data Analyst
Key Responsibilities:
- Conduct thorough data analysis to identify trends, patterns, and insights that inform business strategies.
- Validate and ensure data quality through rigorous data validation techniques.
- Utilize BigQuery for data analysis and reporting to support decision-making processes.
- Apply statistical methods and machine learning algorithms to analyze data and develop predictive models.
- Leverage Python and libraries (Pandas, NumPy, scikit-learn) for data manipulation and analysis.
- Create clear and compelling reports and dashboards using tools like Tableau or Power BI to present data insights to stakeholders.
- Prepare visual representations of data that simplify complex information for a non-technical audience.
- Write documentation for queries, reports, and data analysis processes.
- Present findings and recommendations to technical and non-technical stakeholders with precision and clarity.
Requirements:
Experience:
- 3+ years of prior experience as a Data Analyst or in a similar role.
- Proven experience in data analysis, including data extraction, transformation, and validation.
- Strong SQL skills with the ability to write complex queries and perform data manipulation.
- Proficiency in Excel for data analysis and reporting.
- 2+ years of experience with big data technologies such as Hadoop and Spark.
- Detail-oriented with strong structural thinking and analytical mindset.
- Demonstrated ability to analyze complex datasets and draw meaningful conclusions.
- Excellent written and verbal communication skills, with a focus on being precise and clear.
- Experience in technical writing related to data analysis, including reports and presentations.
Nice to Have:
- Familiarity with data visualization tools such as Tableau or Power BI.
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