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Data Engineer / Analyst
Ilensys Technologies
posted 3d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Lead the collection, cleaning, and validation of large datasets from various sources, ensuring data integrity and accuracy
- Conduct advanced data analysis to identify trends, patterns, and correlations within complex datasets
- Develop and refine statistical models and machine learning algorithms to predict business outcomes and customer behaviour Design, build, and maintain interactive dashboards and reports using tools like Tableau, Power BI, or similar
- Provide data-driven insights and recommendations to support strategic business decisions across departments, including marketing, sales, and product development
- Translate complex data findings into clear, actionable insights for non-technical stakeholders
- Partner with business leaders to understand their needs and translate them into analytical solutions
- Providing technical leadership and best practices in data analysis and reporting
- Identify opportunities to improve data collection, processing, and analysis methods to enhance efficiency and accuracy
- Stay current with industry trends and advancements in data analytics and implement best practices within the team
Qualifications:
Descriptive and Inferential Statistics : Understanding measures like mean, median, variance, standard deviation, and hypothesis testing.
Regression Analysis : Proficiency in linear and logistic regression, as well as understanding other predictive modelling techniques.
Data Interpretation : Ability to interpret complex datasets and draw meaningful insights that can inform business decisions.
Critical Thinking : Strong problem-solving skills, enabling the analyst to approach data challenges logically and creatively.
Attention to Detail : Ensuring accuracy and consistency in data analysis, spotting anomalies, and correcting them.
Time Management : Ability to manage multiple projects simultaneously, prioritizing tasks effectively to meet deadlines.
Collaboration : Experience working with cross-functional teams, understanding the importance of integrating data insights into broader business strategies.
Agile Methodologies : Familiarity with agile project management techniques, including Scrum or Kanban, for managing data projects.
Adaptability : Ability to quickly adapt to new tools, methodologies, and changes in business requirements.
Problem-solving : Proactive approach to identifying issues and finding effective solutions using data-driven methods.
Employment Type: Full Time, Permanent
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Flexible timing
Monday to Friday
No travel
Day Shift
Ilensys Technologies Benefits
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