Freshworks Off Campus Drive 2023: Hiring For Data Analyst

Job Description:

Working as a part of the Revenue Operations team, the role requires DAs to work closely with business analysts/program managers to manage the data and analytics requirements and aid data-driven decision making.

Roles & Responsibilities:

• Collaborating with team members working across functions to come up with actionable, high-impact insights across product
  lines and functions
• Collaborating with the BI teams to maintain the data systems that serve as the source of truth for the entire GTM organization
• Help operationalize business decisions by working with different systems and tools
• Developing and maintaining regular reports for tracking key metrics and provide timely alerts based on the trends
• Communicating insights/findings to help drive initiatives for improving business performance
• Ensuring that data/analyses are presented in a format that is appropriate for consumption of the leadership team using
  interactive visualizations and dashboards
• Utilizing strong database skills to work with large, complex data sets
• Filtering, cleaning and converting unstructured (or ambiguous) data into usable data sets that can be analysed to extract insights
• Using advanced analytics and metrics to improve processes and provide data-driven forecasts of potential costs, revenues, and risks of business initiatives

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Qualifications

Requirements:

• Education and experience: Bachelors in a quantitative field (such as Engineering, Statistics, Math, Economics or Computer Science with Modeling/Data Science)
• A passion for working with numbers and sound understanding of descriptive statistics
• Ability to manage simultaneous tasks in a fast-paced, technology- oriented environment

Proficiency in MS Excel and Powerpoint is a must 

• Sound knowledge in working with visualization tools such as Power BI, Tableau, Sisense etc
• Experience in working with real datasets to generate insights and create data driven stories
• Familiarity with database technologies and tools (SQL/R/SAS etc.)

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