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Description:
At IT Labs, we are looking for a skilled and detail-oriented Data Analyst who can turn complex datasets into actionable insights.
The Data Analyst will collaborate with the CTO and stakeholders to analyze trends, build predictive models, and create data-driven strategies.
Responsibilities include gathering reporting requirements, writing and managing reports using SQL and Retool, and analyzing large datasets to identify trends and insights that drive business improvement.
The role involves operationalizing predictive pricing and other models based on historical data to support key business initiatives.
The Data Analyst will provide data-driven recommendations for optimizing business processes and outcomes, ensuring data accuracy, integrity, and consistency across all reports and analyses.
Additionally, the position requires developing and maintaining dashboards and visualizations to effectively communicate findings to both technical and non-technical stakeholders.
Requirements:
A minimum of 5 years of experience as a Data Analyst is required.
Proven experience in a similar role is essential.
Proficiency in SQL for querying and manipulating data is necessary.
Experience with Retool or similar tools for building custom reports and dashboards is required.
Strong skills in Python for data analysis and predictive analytics are needed.
Experience in predictive modeling, including the ability to operationalize models for business use cases, is essential.
Strong analytical and problem-solving skills, with keen attention to detail, are required.
Familiarity with data visualization tools and techniques is necessary.
Excellent communication skills, with the ability to present findings to both technical and non-technical stakeholders, are essential.
A Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Economics) is required.
Benefits:
The position offers a long-term 12-month contract.
Candidates can choose their contract type: Contract (1099) or B2B/C2C.
There is an unlimited working-from-anywhere policy.
Referral bonuses are available.
Employees will have the opportunity to work on international projects.