Data Engineer
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A SAAS-based data analytics platform providing companies with detail and actionable insights to improve their functions and grow their market share.
Role Introduction
We are seeking a talented Data Scientist with a strong focus on Data Analysi and Data Processing to join our client. The ideal candidate will have experience working with large datasets, a deep understanding of statistical models, and the ability to leverage various tools for data manipulation and analysis. You will collaborate with cross-functional teams to derive actionable insights and drive data-driven decision-making.
Features
- Onsite
- Fulltime
Requirements
- Perform data processing, cleaning, and transformation from various sources to ensure data quality and usability.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and apply statistical models to analyze datasets and provide insights into business performance and opportunities.
- Design and implement predictive models to solve business problems and optimize decision-making.
- Collaborate with teams across departments to understand data needs and provide tailored solutions.
- Use visualization tools (e.g., Tableau, PowerBI, or similar) to present data insights and findings to non-technical stakeholders.
- Automate data processing workflows and ensure the scalability of data solutions.
- Maintain clear and concise documentation of data processing and analysis methodologies.
- Stay up-to-date with emerging trends and technologies in data science, machine learning, and statistical modeling.
Specifications
- Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 3-4 years proven experience in data analysis, data processing, and statistical modeling
- Proficiency in programming languages such as Python or R for data manipulation and analysis.
- Strong understanding of statistical techniques such as regression, hypothesis testing, clustering, etc.
- Experience with data visualization tools (e.g., Tableau, Power BI) and libraries (e.g., Matplotlib, Seaborn).
- Knowledge of SQL and experience in querying large datasets.
- Familiarity with machine learning algorithms and frameworks is a plus.
- Strong problem-solving skills and attention to detail.
- Excellent communication and interpersonal skills to work in a collaborative environment.
Expertise
Skills: Exploratory Data Analysis, Machine Learning Algorithms, Matplotlib, MS SQL, Power BI, Python, Seaborn, Tableau
About TalentHue
TalentHue provides scalable, reliable Tech Recruitment, Corporate Recruitment and Consulting (Strategy, Operations, Performance) services. Our Recruitment and HR consultants will work alongside your team to meet the unique needs of your business.- Lahore
Data Engineer
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Salary Range
250K-350K
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