Job Description
Client Company Introduction:
- Our Client company is a dynamic and innovative technology company at the forefront of data-driven solutions. They are dedicated to delivering cutting-edge data science and machine learning solutions to empower businesses and organizations with actionable insights. Their team is passionate about transforming data into value, and we are looking for a skilled Data Scientist/Machine Learning Engineer to join our talented and collaborative team.
Position Overview:
- Our client company is seeking a highly motivated and highly skilled Data Analytics/Business Intelligence Expert to join our dynamic team. As a team member, you will have the opportunity to work on cutting-edge projects, analyze complex data sets, and contribute to strategic decision-making processes.
Key Responsibilities
- Collaborate with cross-functional teams to understand business requirements and objectives.
- Design and implement data analytics solutions to extract valuable insights from large datasets.
- Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends.
- Perform data analysis to identify patterns, trends, and opportunities for business improvement.
- Provide strategic recommendations based on data analysis and interpretation.
- Stay current with industry trends and advancements in data analytics and business intelligence.
Qualifications:
- Bachelors or masters degree in a related field (e.g., Data Science, Business Analytics, Computer Science).
- Proven 2-3 years of work experience as a Data Analyst, Business Intelligence Analyst, or similar role.
- Strong proficiency in data analytics tools and programming languages (e.g., SQL, Python, R).
- Expertise in data visualization tools such Tableau, Power BI, Looker Studio, Qlikview, Qliksense, Google Analytics
- Solid understanding of statistical concepts and data modeling.
- Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
- Strong problem-solving skills and attention to detail.
Preferred Qualifications
- Experience with machine learning and predictive analytics.
- BI tools certifications
- Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
- Industry certifications in data analytics or business intelligence.