Data Analyst (hybrid set-up)Sprout Solutions
Salary: Agreement
Work form: Full time
Posting Date: 11/01/2026
Deadline: 15/08/2022
The Data Analyst collects data from different sources, interprets patterns and trends and creates reports that guide decision making. The Data Analyst works closely with the internal stakeholders as well as the product team in generating valuable reports. This role is crucial in helping the organization maximize all the data available to it.
TASKS:
Structure datasets from different sources to find valuable information
Produce reports, research and insights that improve overall business performance
Define KPIs, metrics and business problems
Identify data patterns and trends using statistical techniques
Provide analytical consultation, predictive modeling and solutions to achieve business goals and objectives
Take on analytics projects and improve analytics practices
Communicate and articulate insights to key stakeholders through data visualization and presentations that can be consumed by technical and non-technical audiences
Work with the Data Science team and internal stakeholders to utilize all available data
REQUIREMENTS:
Experience with SQL, Python and/or R
Experience with visualization tools (e.g. PowerBI, Tableau, Google Data Studio)
Extensive knowledge of spreadsheet tools (e.g. Microsoft Excel, Google Sheets)
Strong problem solving and analytical skills
Strong team player with good communication and presentation skills
Has a track record of being a high achiever
Must be self-motivated and able to work with minimal supervision
Willingness to learn, handle various tasks and go above and beyond what is required
Strong innate desire and proven track record of continuous self-improvement (in learning, job expansion, extracurricular activities, etc)
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Sprout Solutions
TASKS:
Structure datasets from different sources to find valuable information
Produce reports, research and insights that improve overall business performance
Define KPIs, metrics and business problems
Identify data patterns and trends using statistical techniques
Provide analytical consultation, predictive modeling and solutions to achieve business goals and objectives
Take on analytics projects and improve analytics practices
Communicate and articulate insights to key stakeholders through data visualization and presentations that can be consumed by technical and non-technical audiences
Work with the Data Science team and internal stakeholders to utilize all available data
REQUIREMENTS:
Experience with SQL, Python and/or R
Experience with visualization tools (e.g. PowerBI, Tableau, Google Data Studio)
Extensive knowledge of spreadsheet tools (e.g. Microsoft Excel, Google Sheets)
Strong problem solving and analytical skills
Strong team player with good communication and presentation skills
Has a track record of being a high achiever
Must be self-motivated and able to work with minimal supervision
Willingness to learn, handle various tasks and go above and beyond what is required
Strong innate desire and proven track record of continuous self-improvement (in learning, job expansion, extracurricular activities, etc)
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Sprout Solutions
Other Info
Philippines
Permanent
Full-time
Permanent
Full-time
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Sprout Solutions
About the company
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