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You will be updated with latest job alerts via emailResponsibilities:
Engage with end users to understand their requests ensuring clear communication and perform detailed data analysis to address their needs and deliver actionable insights.
Support and enhance existing inhouse data reporting processes.
Support the data science and engineering teams in designing building and managing ETL pipelines.
Resolve data issues in related applications ensuring highquality support throughout the resolution process.
Qualifications/Skills Required:
Bachelors or masters degree in computer science Data Science Business Analytics or a related field from a reputable institution with a strong academic record.
5 years of experience in a largescale organization primarily focused on data analytics or modeling projects.
Strong proficiency in Python and SQL.
Proficient in business intelligence tools and technologies including Pandas Tableau and Power BI.
Experienced in prototyping analytics concepts and developing interactive solutions using tools like Streamlit.
Advanced technical skills in MS Office with a particular focus on Excel.
Experience with machine learning algorithms and NLP techniques is preferred.
Strong written and verbal communication skills.
Experience in the financial industry is preferred.
Ability to multitask and meet tight deadlines.
Detailoriented with a strong sense of ownership over work.
Required Experience:
Unclear Seniority
Full-Time