Position: Data Science Analyst
Company: Luxoft
Location: Bengaluru, Karnataka, India
Job type: Full-time
Job mode: On-site
Job requisition id: N/A
Years of experience: 0 -2 years
Company Description
- Company Name: Luxoft
- Industry: IT Services and IT Consulting
- Size: 10,001+ employees
- Global Presence: Operating in multiple countries with a diverse and inclusive work environment.
- Core Values: Innovation, Excellence, Collaboration, Integrity.
- Mission: To deliver exceptional IT solutions through advanced technology and a passionate workforce.
- Vision: To be a leader in IT consulting by providing transformative solutions that drive business success.
- Commitment: Emphasizing continuous improvement, fostering a culture of innovation, and maintaining high standards of service.
- Employee Engagement: Providing opportunities for professional growth and development, ensuring a supportive and collaborative work environment.
- Client Focus: Dedicated to understanding and meeting client needs, offering customized and efficient IT services.
Profile Overview
- Role Purpose: To transform data into actionable insights that drive business decisions.
- Key Functions:
- Analyze complex data sets to identify patterns and trends.
- Develop efficient data collection and analysis processes.
- Present data-driven insights to senior stakeholders.
- Team Collaboration: Work closely with management and cross-functional teams to prioritize and address business information needs.
- Continuous Improvement: Engage in ongoing learning and apply innovative methods to improve data analysis processes.
- Impact: Contribute to the company's strategic goals by providing critical data insights that support decision-making.
- Professional Environment: Operate within a dynamic and fast-paced IT consulting environment, with opportunities for career advancement.
Qualifications
- Experience: Proven experience as a Data Analyst or Business Data Analyst.
- Education: Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.
- Technical Skills:
- Proficiency in Python and its data science libraries (pandas, numpy, scikit-learn).
- Strong knowledge of statistical analysis and experience with statistical software (e.g., R, SAS).
- Expertise in data visualization tools (Matplotlib, Seaborn, Tableau).
- Analytical Skills: Ability to analyze large data sets with attention to detail and accuracy.
- Problem-Solving: Strong problem-solving abilities to provide business solutions.
- Communication: Excellent skills in translating complex data into understandable reports and presentations.
- Data Management: Experience with APIs, databases, and other data management technologies.
- Desirable Attributes: Passion for data science, continuous learning, and innovation.
Responsibilities
- Data Interpretation: Use statistical techniques to interpret and analyze data.
- Process Development: Create and implement systems to enhance data collection and analysis efficiency.
- Trend Analysis: Identify and interpret trends in complex data sets.
- Business Collaboration: Work with management to prioritize information needs.
- Process Improvement: Identify opportunities for process enhancements and define new improvement strategies.
- Stakeholder Engagement: Present data insights to senior stakeholders and participate in business discussions.
Mandatory Skills Description
- Data Analysis Experience: Proven working experience as a Data Analyst or Business Data Analyst.
- Python Proficiency: Strong knowledge and experience with Python.
- Statistical Knowledge: Proficient in statistical analysis and using statistical packages.
- Analytical Skills: Ability to handle significant amounts of data with precision and accuracy.
- Data Visualization: Experience in creating clear data visualizations.
- Reporting Skills: Adept at queries, report writing, and presenting findings.
- Educational Background: Bachelor's degree in relevant fields such as Mathematics, Economics, Computer Science, Information Management, or Statistics.
Skills
- Python: Essential proficiency in Python, with experience in data science libraries (pandas, numpy, scikit-learn).
- Data Visualization: Skilled in using Matplotlib, Seaborn, Tableau to present data.
- Statistical Analysis: Strong foundation in statistical methods and tools (R, SAS).
- Machine Learning: Familiarity with machine learning algorithms.
- Communication: Ability to convey complex data insights through visual and written reports.
- Problem-Solving: Strong problem-solving capabilities to address business needs.
- Data Management: Proficient in managing data using APIs, databases, and other technologies.
Additional Information
- Team Environment: Work within a collaborative and innovative team.
- Career Growth: Opportunities for professional development and career advancement.
- Project Variety: Exposure to multiple accounts and service lines.
- Stakeholder Interaction: Engage with senior stakeholders and participate in high-level business discussions.
- Innovation Focus: Encourage a culture of continuous improvement and innovation.
- Business Impact: Directly influence business decisions through data insights.
- Supportive Culture: Benefit from a supportive and inclusive workplace.
- Learning Opportunities: Continuous learning and development opportunities.
Please click here to apply.
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