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Senior BI Analyst
Shell
Global energy giant exploring, producing, refining and marketing oil, gas, petrochemicals and low‑carbon solutions.
Continuously grow the transferable skills you need to get ahead.
Developing tools and approaches to monitor the performance of Loyalty CRM customers.
Incumbent is responsible for working on a range of technologies and tools collaborating directly with the multiple stakeholders & other Data engineering team.
Apart from the above also support the Mobility Loyalty CRM teams in:
Provide deep expertise in Data Analytics for Mobility/CPG businesses and business consulting:
Identify the right approach(es) for given scenario and articulate why the approach fits.
Deliver various levels of profiling analysis/Diagnostic Analysis to identify quick wins like leaky bucket analysis, Category deep dive analysis etc., to accelerate Active Customers, arrest churn etc.,
Creating integrated measurement framework for Loyalty CRM Program
Identifying the right group of customers for targeting certain Promotions by identifying trends and patterns in Loyalty customers
Working collaboratively across multiple sets of stakeholders – business SMEs, IT, Data teams, Analytics resources to deliver on project deliverables and tasks.
What you bring
sql
python
power bi
bachelor’s degree
customer & crm analytics
data quality analysis
Should have strong data presentation and data interpretation skills.
Articulate business insights and recommendations to respective stakeholders.
Preferred experience in Customer, Loyalty & CRM analytics, CPG or E-commerce
Understanding Mobility KPIs, benchmarking analysis, evaluating impact of business initiatives on profits, A/B testing, Hypothesis testing, pre-post campaign analysis
Good interpersonal communication skills and influencing skills.
SQL, MS-Excel
Python, Alteryx (good to have)
Very Strong experience in specialized analytics tools and technologies (including, but not limited to:
Power BI, or other visualization tools, Power Automation
Ability to convert business problem to analytical problem along with Strategic thinking and business story telling.
Eagerness to learn and ability to work with limited supervision.
Bachelor’s Degree in Economics, Statistics or any related
Experienced in Statistical analysis: Data Quality Analysis, Exploratory data analysis, Hypothesis testing, Univariate / Multivariate Analysis.
At least 5-7 years of relevant experience in Retail Analytics
Understanding business KPI's, frameworks and drivers for performance.
Should have strong story telling skills: Ability to explain complex data and models to business teams.
Candidate should be able to ask the right questions, ability to move from data to insight to action, break down strategic & operational questions from different stakeholders and structurally answer them with data driven insights.
Benefits
We’re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply, and we’ll take it from there.
Grow as you progress through diverse career opportunities in national and
Gain access to a wide range of training and development programmes.
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