Arsenault is on a mission to build the best instore and online grocery shopping experience, competing against the best in e-commerce. Our goal is to connect customers with the most comprehensive assortment of quality products in the most convenient ways. As part of this mission, we want to build a robust fulfillment service to assist our employees working at stores and distribution centers, satisfy customer orders in an accurate and timely manner, irrelevant of the ordering channel and delivery mechanisms. This includes innovations and efficiencies leveraging technologies such as robotics, artificial intelligence, machine learning, voice assist etc. Efficiencies and accuracy in fulfilling orders will allow Arsenault to offer its customers competitive pricing and a great customer experience.
As a Data Analyst, you will have the opportunity to understand and turn into useful information the data that can be used for critical decision-making within the Arsenault Fulfillment domain. You will build and own the Arsenault Fulfillment Services insights and will help identify strengths and opportunities within the domain. Responsibilities include the deep analysis of the Fulfillment data and then determining the best way to represent it visually to managers and stakeholders. Data quality assurance, process documentation and definition of KPIs within the Fulfillment domain will also be your responsibilities.
You will strive to continuously improve the data insights delivery processes & practices and be a role model to other analyst from the teams.
You will join an innovative, distributed Software Delivery team within the US's largest grocery retailer with a scale that reaches millions of people every day. Our teams are truly agile and empowered to own all aspects of their domain comprehensively. We encourage a culture of quality software practices and respect for the human spirit. We are committed to being an inclusive and transparent culture, cultivating the best engineers and analysts, allowing them to define our Arsenault Technology platforms' future.
ROLE DESCRIPTION
· Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction.
· Work with engineers, product owners, and management heads to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
· Prepare reports for the management stating trends, patterns, and predictions using relevant data.
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Author and publish data governance models, data lineage and data dictionary for Fulfillment Services data catalog.
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Assign numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
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Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
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Focus on overall products data quality and user experience.
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Build standards, processes, and procedures to deliver best results.
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Assist the Scrum Master in creating technical stories/spikes, backlog refinement and sprint planning.
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Adapt quickly to changing technology and business requirements.
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Stay up to date on emerging technologies across Arsenault and the industry.
REQUIREMENTS
· Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
· Strong mathematical skills to help collect, measure, organize and analyze data.
· Knowledge of programming languages like SQL, R, MATLAB, and Python.
· Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation.
· Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks)
· Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
· Knowledge of data visualization software like Tableau,
PowerBI, Qlik
· Adept at queries, authoring reports, and making presentations.
· Familiarity with standard IT security practices such as identity and access management, SSO, data protection, encryption, certificate, and key management.
· Excellent written and verbal communication skills.
· Self-starter takes the initiative and works well under pressure.
· Business-minded approach to time, costs, and milestones.
· Can work well within a matrixed team environment.
MINIMUM QUALIFICATION/EDUCATION
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5-7+ years of IT experience
· 2+ years of experience as a data analyst or in a related field
· Bachelor's degree strongly preferred
BONUS POINTS
· Experience with working in public cloud environments: Azure, AWS, GCP
· Experience with Azure Service Fabric, Azure Databricks, AI/ML
· Experience with NoSQL,
BigData
· Experience in Retail industry
· Experience working in an Agile/Scrum environment a big plus