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As a Python Data Analyst at GrowthAssistant, you will be key in leveraging data to drive actionable insights and strategic decisions. Your expertise in Python and a strong understanding of data analysis techniques will enable you to work with large datasets, clean and transform data, and build reports that provide clarity and support decision-making across the organization.
Company Benefits:
WFH setup
Incentives
Holiday Leaves and PTOs
Healthcare Plan
Salary Range: PHP70K-80K/month
Must-Haves:
2+ years of Python experience (intermediate)
Experience analyzing/ reporting on large sets of marketing data from various sources = transactional data (how much customer spent)
Ability to work EST 9 - 6 pm
Detail-oriented with a strong commitment to quality and accuracy
Excellent communication skills both written and verbal: this person needs to feel comfortable flagging urgent issues/blockers = central person for communications coming in and status and prioritization of them
Hungry to learn
Pandas experience: main Python package
Interest in shopping/brands
Experience with AWS: specifically SageMaker
Core Tasks:
Responsible for executing day-to-day requests from internal client-facing teams.
Leveraging their advanced algorithms to create actionable data outputs
Supporting business objectives for decision
Write code in Python to pull information for recurring reporting
SoPs in Notion
Collaborate with cross-functional teams to collect and analyze data
Develop and maintain data-driven dashboards and reports for tracking customer engagement and business performance
Document data analysis processes, algorithms, and findings
Troubleshoot to solve downstream reporting issues
Managing audience creation: list of email s to target on Facebook , creating lists that we think would fit for our clients, launching on Facebook and refreshing with latest data = gets pushed through automatically so no need to manage on Facebook , they have scripts for this automated process
Nice-to-haves:
Experience or high interest in the D2C market space
Grow into
Conduct market research to identify emerging trends and growth opportunities
Experience with Slack
Experience with Monday.com
Experience with AWS: S3 (storage) and Athena
