Analytics Consultant plays a crucial role in bridging the gap between data and actionable business insights. This person's responsibilities include:
- Client/Business Engagement:
- Understanding client/business objectives and challenges.
- Defining the scope of analytics projects to address client/business needs.
- Building and maintaining strong client/business relationships.
- Data Analysis and Interpretation:
- Collecting, cleaning & validating data from various sources (internal/External)
- Performing in-depth statistical analysis and data mining.
- Developing and applying predictive models and algorithms.
- Identifying trends, patterns & insights from complex datasets.
- Data Visualization and Reporting:
Want more jobs like this?
Get Data and Analytics jobs delivered to your inbox every week.
- Creating clear and compelling dashboards & visualizations.
- Developing comprehensive reports that summarize findings and provide actionable recommendations.
- Presenting data insights to both technical and non-technical stakeholders.
- Managing analytics projects from initiation to completion.
- Ensuring projects are delivered on time and within budget.
- Coordinating with cross-functional teams like Business, Schneider Digital
- Translating data insights into strategic business recommendations.
- Providing guidance on data-driven decision-making.
- Staying up-to-date on industry trends and best practices.
Qualifications
Education:
- Bachelor's degree in a relevant field (e.g., statistics, mathematics, computer science, economics, business)
- Master's degree in a related field (Preferred)
Experience:
- 7-10 years of professional experience in data analytics, business intelligence, or consulting.
- Proven track record of successfully delivering analytics projects.
- Experience working with clients
Technical Skills:
- Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, Tableau, Power BI).
- Strong understanding of statistical concepts and methods.
- Experience with data warehousing and database management.
- Knowledge of predictive modeling and machine learning techniques.
Soft Skills:
- Strong business acumen.
- Excellent communication and presentation skills.
- Strong problem-solving and analytical thinking abilities.
- Ability to work independently & as part of a team.
- Strong client management and relationship-building skills.
Certifications (optional but beneficial): Certifications related to specific software, such as Python/statistics/business analytics/Tableau or Power BI.
Schedule: Full-time
Req: 009CYL