Data Analytics Consultant - Python/Power BI

About Quantzig

Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding, Machine Learning and data engineering solutions implementation for prudent decision making. We are a rapidly growing organization that is built and operated by high-performance champions. If you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one were looking for. The clients love us for our solutioning capability, our enthusiasm and we expect you to be a part of our growth story.

Job Description

Experience : 5-8 years

Notice period 15 to 20 days

Industry Experience Retail (customer Insights, Sales Have Skills

• Expert in Power BI development (DAX, data modeling, dashboards).
• Strong retail analytics experience is Mandatory (customer insights, sales analysis).
• Expertise in Python & SQL, statistical modelling.
• Proficient in AWS ETL tools (Glue, Redshift, S3).
• Proven project leadership and stakeholder management.
• Preferably looking for a Delhi-based to Have Skills :
• Experience with advanced analytics/ML and Power BI administration.
• Advanced Analytics like Deep learning, NLP and Gen AI.
• Relevant certifications (Power BI, AWS)
  
  

Soft Skills

• Excellent communication and collaboration.
• Strong problem-solving and attention to detail.
• Leadership and mentoring Responsibilities :
  
  

Data Analysis and Insight Generation : Analyze large datasets related to customer behavior, sales performance, and retail operations to identify key trends, patterns, and actionable insights.

Power BI Development (Expert Level) : Design, develop, and maintain sophisticated Power BI dashboards and reports, utilizing advanced DAX calculations and robust data modeling techniques to effectively visualize and communicate complex findings.

Retail Analytics Expertise (Mandatory) : Apply your strong understanding of retail analytics concepts, including customer segmentation, churn analysis, basket analysis, sales forecasting, and campaign effectiveness measurement.

Data Extraction and Manipulation : Utilize Python and SQL to extract, clean, transform, and prepare data from

various sources for analysis and reporting.

Statistical Modeling : Apply statistical modeling techniques to uncover deeper insights and support data-driven decision-making.

AWS ETL Tools Proficiency : Leverage AWS ETL tools such as Glue, Redshift, and S3 to build and manage efficient data pipelines for analytics purposes.

Project Leadership and Stakeholder Management : Lead analytics projects from initiation to completion, effectively managing timelines, resources, and communication with stakeholders across different business and Communication : Work closely with business stakeholders, including managers and team members, to understand their information needs, define analytical requirements, and present findings in a clear and concise manner.

Problem Solving and Attention to Detail : Demonstrate strong problem-solving skills to investigate data discrepancies, identify root causes, and propose effective solutions. Maintain a high level of accuracy and attention to detail in all analytical work.

Documentation : Create and maintain clear and comprehensive documentation for data models, reports, and analytical processes.

(ref:hirist.tech)