Sr Analyst, Strategic Planning & Insights

Job Description Job Purpose    The   Sr Analyst,   Strategic Planning & Insights   will own ,   analyze   and integrate   large internal and external datasets from   different sources   to   support   data driven decision making across commercial   strategy   and sales   execution.   The Sr Analyst will own responsibility over modeling sophisticated retail problems, discovering   actionable   insights and   surfacing sales enablement 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   scalable   final data sets and   reporting   outputs.   This role partners closely with business leadership, commercial teams, and data engineering groups to transform and communicate complex data into   impactful   business recommendations   and support automation and process optimization .   Essential   Functions &   Responsibilities     Advance data analysis skills, programming, & data engineering   Lead sales analytics projects with key partners from the   Commercial Analytics Platform (CAP) , 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   through   clear and   effective story telling   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   Serve as a liaison between technical and business teams   to   drive   business,   helping to translate   business needs into   scalable reporting and analytical tools   and helping to simplify and distill   back   clear findings from complex data sets   Key Projects     Support the design, development ,   automation , and adoption   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   Expected Experience   & Required Skills     ​ ​ Bachelor’s degree   required   - math, finance, engineering, statistics, business or related discipline is required   ​ 2+ years of experience working in Business Intelligence or Data analytics within a large-scale company or fast-paced environment     ​ Advanced in Microsoft Excel   ​ Proficiency in   PowerBI   ​ Experience d with Snowflake and   reading/   writing SQL queries   ​ Skilled   in Power P oint   ​ Experience in manipulating or analyzing syndicated data, IRI /   Circana   or Nielsen preferred   ​ Proven analytical and quantitative skills and ability to use hard data and metrics to back up assumptions and develop business cases   ​ Experience working with large structured and unstructured data sets   ​ 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   ​ Experience with cross-functional analytics initiatives   that   influence decision making across business stakeholders and business units   ​ 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 skills, including an ability to effectively communicate with both business and technical teams   ​ Ability to self-direct, multitask, and prioritize a constantly evolving workload   Preferred Skills   Previous   experience   with   the CPG   industry / metrics   Experience in project management   Familiarity with statistical modeling tools such as R or Python   Our Total Rewards philosophy is to provide a meaningful and flexible spectrum of programs that equitably suppor