The Sr Analyst- Perfect Store & Execution will own and analyze large internal and external datasets from different sources. The Sr Analyst will own responsibility over modeling sophisticated retail problems- discovering insights and seeing opportunities through the use of statistical- algorithmic- mining and visualization techniques. The candidate should have extended business knowledge as well as technical abilities. The Sr. Analyst should be able to translate business critical metrics into data requirements then either develop or partner with Business Intelligence to generate final data sets and reporting outputs.
Key Responsibilities include:
Advance data analysis skills- programming- & data engineering
Lead sales analytics projects with key partners from the Customer Development Organization (CDO)- Business Units (BU) and Field Sales to provide tools and insights to all leadership teams
Integration of information across groups and projects and not siloed to one team or one project
Work proactively with brand and cross functional teams to understand business questions/objectives- identify the information currently available- clearly define the gaps and articulate a proposed methodology and plan to deliver on these requirements
Distill modelling and analysis findings into key concrete insights and clearly communicate results
Do exploratory data analysis and navigate large dataset to come out with broad conclusions
Use algorithms and programming to efficiently go through large datasets and apply treatments- filters and conditions to the data
Create meaningful data visualizations that communicate findings and relate them back to insights that generate business impact
Partner with IT teams to turn data into critical information and knowledge that can be used to make sound organizational decisions and to build data validation frameworks ensuring the data coming to business is reliable and accurate
Validate findings using experimental and iterative approach
Sales Management
Support the design- development and automation of data pipelines to support routine Sales Execution reports and analytical workstreams
Build process improvement tools and algorithms that will ensure efficiencies through the sales organization saving data consolidation and data manipulation time across the sales teams
Build front-end management tools and reports that will enable business to breakdown results and perform various analysis
Perform analysis on BU and Sales priorities and selling objectives to ensure we know how to close the gap on business opportunities
Maintains knowledge of products- pricing- services- market dynamics to perform strong analysis with insightful findings to the business teams
Maintains complete knowledge of company policies- programs and procedures and ensures team members adhere to them when performing duties
Support ad-hoc data requests from BU or Sales teams
Analyze and visualize data and present business insights to business partners
Train end users to appropriately use different data sets
Qualifications:
Bachelor’s degree preferred
2+ years of experience working in Business Intelligence or Data analytics within a large-scale company or fast-paced environment
Advanced in Microsoft Excel
Experience writing SQL queries
Experience in manipulating or analyzing syndicated data- IRI or Nielsen preferred
Proven analytical and quantitative skills and ability to use hard data and metrics to back up assumptions and develop business cases
Skilled at problem solving and idea leadership
Strong drive for achieving results
Ability to work autonomously with minimal supervision
Experience in partnering with business owners to understand requirements- develop project timelines- and deliver data sets or analysis on time
Good interpersonal- communication and negotiation skills
Ability to influence multi-functional team members
Deep Technical and Systems orientation
Motivated self-starter who can effectively work under pressure and manage multiple priorities
Strong verbal/written communication & data presentation skills- including an ability to effectively communicate with both business and technical teams
Ability to self-direct- multitask- and prioritize a constantly evolving workload
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