Global Search Analyst

3 weeks ago

Toronto, Canada The Home Depot Canada Full time

With a career at The Home Depot, you can be yourself and also be part of something bigger.
 

Position Purpose:
The Global Search Analyst is responsible for analyzing data related to On-Site Search with the goal of improving the findability experience for customers and stakeholders. Reporting to Search Product team, the role is responsible for analyzing large data sets and producing insights and knowledge to support key business objectives, decision making, problem solving, statistical analysis as needed, opportunity identification and prioritization.
The individual will be supporting Product, Merchandising and other teams to provide insights supporting key business objectives. Core functions include deep dive analysis on big data sets, solving findability challenges, proactively identifying opportunities, answering questions from stakeholders, and assessing the criticality and impact of issues. The individual will also work with other teams to implement solutions and will assess and report on impacts.
The ideal candidate is one who has experience working with Search, enjoys working with data, is detail oriented, can produce actionable business findings from data patterns, is excited to learn new things, and works well in a team environment, and loves to help others.

Position Responsibilities:

Explore and Analyze customer findability data with the goal of understanding Search performance and customer interactions with SearchProactively identify opportunities, challenges, and monitor shifting customer behaviour data patternsTranslate large data sets into meaningful actionable business information using SQL and similar which can be used for decision makingBe an internal global on-site search optimization resource for Product, Merchandising and related teamsSupport non-Search stakeholders to solve business challenges within the scope of findability Support Product team with analysis on Search data to support decision making for projects and new featuresAssess solutions to identified findability problems in partnership with the wider Search teamAssist business teams to assess the criticality and impact of identified findability challenges and opportunitiesAssess the potential impact and risks of creating new tuning rules, such as synonyms, redirects and similarDeep dive into large data sets such as product data, facet data and related business data to assess current effectiveness and opportunitiesProactively explore and analyze customer behaviour, Voice of Customer and LTUA data and identify actionable itemsWork with other teams to implement solutions outside of Product workflow, for example product or data optimization that can improve findabilityCreate and share reports on Search performance and call out key insights and unexpected data pointsWork with other teams such as Analytics and Data Science to build new reports and analysis tools as neededDocument learnings and new analysis processes as they are createdAssist with testing new solutions as neededManage operational tasks with the goal of automating where possibleWork well with the wider team


Experience/Knowledge Required:

Must fulfill minimum time-in-position (1 year) and performance management code requirements (M+). Knowledge and adherence to Home Depot policies and procedures.Must have ability to translate data into information and business knowledgeMust have experience in working with analytics, preferably with large data setsMust have experience in SQL and have a general understanding of best practices in writing database queriesMust have curiosity and enjoy exploring data Preferred candidate will have experience analyzing Search and customer behaviour patternsPreferred candidate will have experience in SQL joins, subqueries and comfort with learning and experimenting with new ways of processing large data setsPreferred candidate will have familiarity with Regular ExpressionsPreferred candidate will have familiarity or experience with either Search, Ecommerce, Home Improvement, or Retail The ideal candidate may have some knowledge or experience with statistics or mathThe ideal candidate is one who enjoys exploring data, has experience working with Search, is detail oriented, is excited to learn new things, works well in a team environment, and loves to help othersAdaptable, embraces change and adjusts quickly to changing work demands in a sometimes fast pace and changing environmentAbility to manage and prioritize multiple tasks, operate under pressure, and meet deadlines

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