Job Description
Our client in India is looking for a Lead Sr. Data Analyst to join their team. This client is the global leader in the convenience store and fuel space, it has a footprint across 31 countries and territories. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. The Data Analyst will be responsible for deploying analytics algorithms and tools on chosen tech stack for efficient and effective delivery. Responsibilities include delivering insights and targeted action plans, address specific areas of risk and opportunity, work cross-functionally with business and technology teams, and leverage the support of global teams for analysis and data.
Roles & Responsibilities
• Clean and organize large datasets for analysis and visualization using statistical methods; verify and ensure accuracy, integrity, and consistency of data
• Identifying trends and patterns in data and using this information to drive business decisions
• Create the requirement artefacts e.g., Functional specification document, use cases, requirement traceability matrix, business test cases and process mapping documents, user stories for analytics projects
• Build highly impactful and intuitive dashboards that bring the underlying data to life through insights
• Generate ad-hoc analysis for leadership to deliver relevant, action-oriented, and innovative recommendations
• Improve data quality by using and improving tools to automatically detect issues
• Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACT’s protocol
• Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas
• Work with high-performing Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of visual analytical applications, from development of mock-ups and storyboards to complete production ready application
• Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business
• Create compelling documentation or artefacts that connects business to the solutions
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
• Must be comfortable being onsite 5 days per week
• 4 + years of experience working as a Data Analyst
• Experience leading or mentoring other analysts
• Relevant working experience in a quantitative/applied analytics role
• Experience working in the retail, supply chain or ecommerce industry
• Working with (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.)
• Experience with Spark, SQL, Python or PySpark for programming handle large data volumes with modern data processing tools
• Understanding and experience with Databricks and Azure
• Working understanding of Statistical modelling using Analytical tools (Python, PySpark, R, etc.)
• Experience with some kind of BI reporting tool (Power BI, Tableau, Alteryx, etc.), specifically structuring the data, transforming the data, and creating visualizations
• Any experience with Cloud computing services in Azure/AWS/GCP for analytics
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.