Sr. Data Analyst

About the Role:

As a Senior Data Analyst, you will engage in comprehensive data analysis, contributing significantly to key projects and driving actionable insights. You will work with a variety of data sets for business optimization efforts. This role is ideal for individuals with a solid data analytics foundation who are eager to tackle more complex challenges and make a tangible impact on the business.
 

Responsibilities:
• Simplify and automate reporting / data processing
• Conduct root cause analysis to uncover underlying data patterns.
• Create complex visualizations to illustrate key data insights.
• Collaborate closely with business units to identify data needs.
• Optimize data processing pipelines for efficiency.
• Participate in feature engineering for improved model performance.
• Implement advance data science techniques such as AI and ML wherever applicable
• Mentor junior data scientists and share knowledge within the team.

Skills:
• Advanced Data Analysis: Proficient in conducting complex data analyses.
• Machine Learning: Practical knowledge of machine learning algorithms and applications.
• Python and R: Proficiency in Python and familiarity with R for statistical computing.
• Data Visualization Tools: Skilled in using tools like Tableau, Power BI, or Matplotlib.
• SQL and NoSQL: Advanced querying skills for both SQL and NoSQL databases.
• Predictive Analytics: Applying predictive analytics for business insights.
• Communication: Effective communication of complex data findings to stakeholders.
• Collaboration: Strong team collaboration skills and ability to mentor junior staff.

Level criteria :
• Requires in-depth conceptual and practical knowledge in primary technical job family and knowledge of related technical job families; has worked with a range of technologies
• Has knowledge of best practices and aware of the competition and market differentiators
• Solves complex technical problems; exercises judgment based on the analysis of multiple sources of information
• Works independently, receives minimal guidance; may lead projects or may have accountability for on-going activities
• Impacts a range project activities within own team and other related teams; acts as a resource for colleagues
• Explains difficult or sensitive information; works to build consensus
• Level at which career may stabilize for many years