Analytics Consultant
2 months ago
- Collaboratewith business units and enterprise functions to conduct researchand analysis on less complextopics.
- Applyfunctional expertise to assist in the development of nonmodelquantitative tools that support strategicdecisionmaking.
- Analyzedata to identify trends and insights utilizing statisticaltechniques and document theprocess.
- Presentactionable recommendations to enhance revenue minimize expenses andoptimize operational efficiency quality andcompliance.
- Gatherand define business requirements translating them into datadriveninsights and recommendations to improve operationalefficiency.
- Participatein the design and implementation of database structures analyticssoftware and storage and processing solutions as part of grouptechnologyinitiatives.
- Developcustom reports and conduct ad hoc analyses to provide insights andmentor less experiencedstaff.
- Ensurecompliance with relevant data governance and risk managementpolicies andregulations.
- Contributeto companywide initiatives aimed at achieving strategic goals suchas risk management and capitalobjectives.
- Collaboratewith senior consultants and other business and technology teams toachieve projectobjectives.
Requirements
- StrongSQL experience along with proficiency in AdvancedExcel.
- Expertisein BI tools such as Tableau or Power BI for datavisualization.
- Solidnumerical aptitude and handson dashboarding and business analyticsexperience.
- Abilityto quickly adapt and work independently with minimal guidance whilecollaborating effectively with CXOlevelstakeholders.
- Stronggrasp of statistical analysistechniques.
- Exceptionalanalytical problemsolving and troubleshootingskills.
- Preferablyexperienced in the ecommerce or retaildomain
Benefits
- Competitivesalary and performancebasedbonuses.
- Comprehensiveinsuranceplans.
- Collaborativeand supportive workenvironment.
- Chanceto learn and grow with a talentedteam.
- Apositive and fun workenvironment.
Proven experience as a Data Scientist or similar role. Strongknowledge of data analysis, statistics, and machine learning.Proficiency in data science tools and programming languages such asPython, R, Azure Data-bricks, SQL, etc. Familiarity with:Supervised and unsupervised learning techniques Deep learning andreinforcement learning Evaluation metrics, feature engineering,model selection and validation, ensemble methods, and explainableAI Category/Product Analytics,Store Analytics,Marketing andPromotion Analytics,Customer Analytics Expertise in visualizationtools such as Power BI, Spot fire, or similar. Excellentstorytelling skills to explain complex data tonon-technical/business teams Experience in analytics, preferablywithin Retail, CPG, or E-commerce domains. Excellent communicationand collaboration skills with the ability to work effectively in ateam environment.
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