Insight and Analytics Manager at Ada

Manchester, England, United Kingdom

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

RetailIndustries

Requirements

Strong analytical and problem-solving skills with a deep understanding of commercial and customer metrics
Experience in creating and delivering insight and recommendations to multiple stakeholders at varying levels of the organisation, and the ability to use storytelling capabilities to bring this to life for commercial stakeholders
Strong communication skills with the ability to convey complex data insights in a clear and concise manner
Ability to work collaboratively with cross-functional teams and comfortable talking to leadership teams
Expertise in using data handling and visualization tools including Excel, PowerPoint and PowerBI, and some level of familiarity with other data analytics interfaces such as Databricks
Be an advanced user of platforms and tools required to do the work i.e. customer insights platform, and experience using market data to support insights (e.g. Kantar, Nielsen)
Knowledge of the retail industry and trends, and experience in retail data analysis

Responsibilities

Provide visible Insight & Analytics support to assigned commercial categories, enacting clear ways of working and building trust through pace, presence and results
Understand category issues and priorities and identify where analytics support is needed in key business processes
Seek and implement opportunities for injecting data, analysis and insight into decision making, and support the optimisation of business processes
Collaborate closely with colleagues across Insight & Analytics and allied functions such as Data Science to deliver insights to inform commercial decision making
Adopt templates & frameworks to develop and deliver comprehensive outputs to share insights and recommendations with relevant stakeholders, presenting data-driven insights in a clear and concise manner
Produce and present insights, reports/dashboards to visualise any potential bespoke insight requirements as required
Mentor, manage and guide Insight Analysts, providing guidance, support and training as required
Contribute to the Insight & Analytics community & culture through participation in team meetings and events

Skills

Key technologies and capabilities for this role

Analytical SkillsProblem-SolvingData VisualizationDashboardsStakeholder ManagementMentoringInsight DeliveryCommercial MetricsCustomer MetricsReports

Questions & Answers

Common questions about this position

What is the salary for the Insight and Analytics Manager role?

The position offers a competitive salary plus benefits.

Is this role remote or does it require office attendance?

This position requires attendance at Asda House in Leeds for a minimum of three days per week.

What skills are required for this position?

Required skills include strong analytical and problem-solving abilities, experience delivering insights to stakeholders with storytelling, strong communication skills, expertise in Excel, PowerPoint, PowerBI, and familiarity with Databricks, plus retail industry knowledge.

What is the team structure like for this role?

You will work as part of a small Insight & Analytics Team embedded within Commercial Business Units and mentor, manage, and guide Insight Analysts.

What makes a strong candidate for this role?

Strong candidates have retail industry knowledge, advanced skills in data tools like PowerBI and Excel, experience presenting insights to leadership, and the ability to collaborate across teams while mentoring analysts.

Ada

Automates customer service with AI chatbots

About Ada

Ada provides automated customer experience solutions through AI-powered chatbots that help businesses streamline customer service tasks. The platform operates on a subscription model, allowing companies to automate repetitive tasks and improve customer satisfaction while reducing costs. Ada differentiates itself by offering a comprehensive suite of services, including consulting and managed services, backed by strong venture capital support. The company's goal is to transform customer service management by enhancing efficiency and engagement through automation.

Toronto, CanadaHeadquarters

2016Year Founded

$185.3MTotal Funding

SERIES_CCompany Stage

Enterprise Software, AI & Machine LearningIndustries

201-500Employees