Job Description
Data Analyst
Are you passionate about transforming complex data into actionable insights? Do you thrive in a role where your analytical skills can drive real business impact? We're seeking a Data Analyst to play a pivotal role in converting business, customer, and platform data into valuable intelligence that enhances operational efficiency and strategic decision-making.
Why Join Us?
This is an opportunity to work with a dynamic team leveraging cutting-edge technology to optimize operations and maximize efficiency across multiple industries. As a Data Analyst , you'll work cross-functionally with marketing, sales, product, and operations teams to align data initiatives with business goals, ensuring data-driven decision-making at every level.
Key Responsibilities:
Conduct deep-dive analyses on complex datasets, using advanced analytical techniques to derive insights.
Design, build, and deliver reports, dashboards, and data visualizations that provide clear, actionable insights.
Analyze customer and business data to uncover trends, provide recommendations, and identify opportunities for improvement.
Develop and maintain a repository of standardized and customized reporting templates for efficiency and consistency.
Communicate complex data insights effectively to stakeholders, including non-technical audiences.
Work cross-functionally to understand business needs and align data projects with strategic objectives.
Develop and deploy predictive analytics models, including machine learning and forecasting techniques.
Partner with internal technical teams to address data gaps, improve data quality, and enhance reporting capabilities.
Implement forecasting techniques to predict project timelines and optimize operational processes.
Requirements:
Minimum 4 years of experience in a data analytics role with strong problem-solving skills.
Bachelor's Degree in an analytical field (e.g., Computer Science, Business Management, Engineering, Information Systems, Mathematics, or Statistics) or equivalent relevant experience.
Strong experience in data visualization tools (e.g., Quicksight, Tableau, Power BI).
Experience with predictive analytics , including knowledge of predictive modeling, machine learning, or forecasting methods.
3+ years of experience working cross-functionally with departments like marketing, sales, product, and operations.
Advanced Excel skills , including macros, pivot tables, and complex formulas.
Proficiency in SQL and Python for data manipulation and analysis.
Experience working with Data Lakes and Cloud platforms.
Strong business acumen and the ability to translate data insights into actionable recommendations.
Nice-To-Haves:
Experience in the construction or manufacturing industry , particularly in a data analytics role focused on resource optimization.
Experience working with large, complex datasets in a multi-project environment.
Ability to conduct independent data analysis that drives meaningful business change.
Familiarity with Agile methodology and working in fast-paced environments.
If you are an analytical thinker who loves uncovering insights and making a tangible impact, we'd love to hear from you!
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