Data Analyst

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Global

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Remote

Job role insights

Qualification

Bachelors

Career level

Junior-Middle

Experience

2+ Years

Requirements

  • Data Analysis Tools: Proficiency in using data analysis tools such as SQL, Python, R, or similar programming languages for data manipulation, cleaning, and analysis.
  • Statistical Analysis: Strong knowledge of statistical concepts and methods, including hypothesis testing, regression analysis, and data modeling.
  • Data Visualization: Experience in creating visualizations and dashboards using tools such as Tableau, Power BI, or similar platforms to present data insights effectively.
  • Data Interpretation: Ability to interpret complex data and translate it into actionable insights and recommendations for business stakeholders.
  • Data Management: Familiarity with data management principles and best practices, including data cleansing, data integration, and data governance.
  • Data Warehousing: Understanding of data warehousing concepts and experience in working with data warehouse systems or platforms.
  • Problem-Solving Skills: Strong analytical and problem-solving skills to identify patterns, trends, and anomalies in data and propose solutions or optimizations.
  • Data Mining: Proficiency in data mining techniques and tools to discover hidden patterns or relationships within large datasets.
  • Data Quality Assurance: Knowledge of data quality assurance processes to ensure data accuracy, consistency, and integrity.
  • Reporting and Documentation: Ability to prepare comprehensive reports and documentation to communicate data analysis findings, insights, and recommendations.
  • Communication Skills: Excellent verbal and written communication skills to effectively communicate technical concepts and findings to both technical and non-technical stakeholders.
  • Attention to Detail: Strong attention to detail to ensure accuracy in data analysis and reporting.
  • Business Acumen: Understanding of business processes, key performance indicators (KPIs), and the ability to align data analysis with business objectives.
  • Teamwork and Collaboration: Ability to collaborate effectively with cross-functional teams, including data engineers, business analysts, and stakeholders, to drive data-driven decision-making.
  • Time Management: Strong organizational and time management skills to handle multiple projects, meet deadlines, and prioritize tasks effectively.
  • Continuous Learning: Eagerness to stay updated with the latest data analysis techniques, tools, and industry trends.

Interested In This Opportunity?

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Global

Slack is a business communication platform known for its innovative approach to workplace collaboration and communication. Founded in 2013, Slack revolutionized the way teams interact online, providing a seamless and intuitive chat interface that integrates with various third-party services and tools. Its platform is designed to replace email as the primary method of communication and sharing in workplaces, encouraging transparency and efficiency through organized channels and direct messaging. Slack has become a vital tool for companies worldwide, fostering a more connected and productive work environment. The company employs thousands of individuals who are dedicated to enhancing and simplifying communication in professional settings.

Company size

2,000+

Founded in

2013

Location

Global

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