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Role at a glance
You will
Analyze complex data sets to develop actionable insights that can drive impactful business decisions
Leverage storytelling skills to deliver insights that are clear, concise, and actionable
Work with business partners to interpret analysis results with a focus on actionable next steps
Education
Bachelor's degree (preferred)
Must-have skills
Data AnalysisPower BIPythonSQLTableau
Work mode
Hybrid
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Job description
Location: Navi Mumbai, India Department: Data Science
TaskUs is seeking a Data Analyst to join our team. As a Data Analyst, you will translate data into human insights and stories that drive change in strategy and tactics.
Responsibilities:
Analyze complex data sets to develop actionable insights that can drive impactful business decisions
Leverage storytelling skills to deliver insights that are clear, concise, and actionable
Work with business partners to interpret analysis results with a focus on actionable next steps
Develop ad hoc reports that will lead to insights and analysis needed for the business
Work with the data visualization team in developing informative repeatable reporting, data monitoring, hygiene, and other strategies that help uncover gaps, highlight relevant business trends, and opportunities for improvement
Translate requirements into technical specifications for data and reporting teams and, conversely, technical approaches into easily digestible insights
Summarize data from multiple sources, developing assumptions where needed, to communicate insights and opportunities
Requirements:
2+ years' demonstrated ability with data analysis and preparation including use of statistical methods and experience with very large data sets using SQL, Python, R, or other programming language
At least one year hands-on experience building reports using Power BI, Tableau, QlikView, or other similar tools
Skills:
Effective communication
Initiative and problem-solving skills
Ability to gather information and prioritize effectively
Demonstrated ability to respond quickly to changes in day-to-day operations
Education:
Bachelor's Degree preferred but not required, preferably in Computer Science, Mathematics, Statistics, programming background, or Information Technology
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Questions you may be asked
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