Senior Insight Analyst/Lead Insight Analyst required to joining our rapidly expanding Customer Insight and Activation team (CIA) The Opportunity: As a Senior Insight Analyst/Lead Insight Analyst you will have the opportunity to work on multiple projects with some of our largest … projects. Reporting to the Insights Lead, you will be responsible for analysing digital behaviour in order to provide key, actionableinsight and critical recommendations to our clients. This is more than just an insight role; it’s an opportuniy to help shape the digital … channels. Using measurement tools to analyse visitor behaviour in detail, across a wide range of digital properties (websites, mobile applications, instore devices) Creating detailed insight reports that cover key findings and recommendations. Presenting your findings to a senior-level client audience and helping them understand what it means for more »
Responsibilities: Commercial acumen and a recent proven experience in a similar role (such as Commercial Insight Analyst, Data Insight analyst in Product Sales, Product Insight Analyst etc) Success track in synthesising complex and ambiguous information in order to drive actionableinsight brought … the data Generating tactical analysis to distilthe insights, identify opportunities & make recommendations Articulating trends using tactical data visualisation techniques and efficiently communicating actionableinsights tailored to the audience and business needs Defining business dashboard requirements for Qlik developers Performing data exploration, cleaning, and aggregation in preparation more »
diverse sources (SQL, Oracle, etc.). What You Will Do • Explore and analyze data from a wide range of sources to extract actionableinsights and drive data-based decision making. • Work closely with cross-functional teams to understand business requirements and design effective data pipelines. • Prototype more »
construct, install, test, and maintain highly scalable data management systems. Data Analytics: Develop analytics tools that utilise the data pipeline to provide actionableinsights into key business performance metrics and operational efficiency. Interdepartmental Collaboration: Work closely with department heads and their teams to gather requirements and more »
development of applications using source control tools such as Git/GitHub · Should be able to perform Exploratory Data Analysis and get actionableinsights from the data, with impressive visualization (Power BI) · Experience in building large scale DW/BI systems for B2B SAAS companies · Experience more »
as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionableinsights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. more »
as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionableinsights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. more »
as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionableinsights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. more »
as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionableinsights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. more »
as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionableinsights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. more »
as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionableinsights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. more »
accuracy, reliability, and accessibility. Implement Extract, Transform, Load (ETL) processes to streamline data workflows. Utilise data warehousing and analytics techniques to derive actionable insights. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Proactively identify and solve complex data-related challenges. Requirements: Proficiency more »
techniques, data mining methods, and machine learning algorithms. • Strong analytical and problem-solving skills with the ability to transform complex data into actionable insights. • Excellent communication skills with the ability to translate technical findings into business-oriented recommendations. • Proven ability to work in a fast-paced more »
efficient data processing and analysis. Conduct exploratory data analysis to identify patterns, trends, and anomalies in financial data, and provide recommendations for actionableinsights to the Data Scientist. Focus on collecting and preparing data for use by Data Scientists and analysts. Solve challenging data integration problems more »
lead the functional design and project management of spend analysis implementation. Support the delivery of Procurement Analytics to enable clients to generate actionable business insights. Build functional solution within the Statement of Work (SOW) specifications, meeting all scope, time, and budget requirements with moderate guidance. Develop more »
will be shown wherever possible. About the role - Main Duties & Responsibilities * Collaborate with stakeholders to understand business requirements and translate them into actionableinsights and data solutions. * Utilize strong SQL skills, including with JSON querying, to extract and manipulate data from various sources. * Create and maintain more »
Employment Type: Permanent
Salary: £65000 - £70000/annum Hybrid, Health, Dental, Extra Hols
and quality. Collaborate with Data Scientists and Machine Learning Engineers to construct analytics tools that leverage the data pipeline. These tools provide actionableinsights related to asset management, operational efficiency, and other critical business metrics. Cross-Functional Collaboration: Work closely with stakeholders, including Product Owners, data more »
Data Science: Develop predictive analytics ("hands-on-keyboard") via statistical, machine learning, and mathematical models on Sysco's corporate data to get actionable business insights as the technical expert in the portfolio Lead and coach data scientists to succeed in their areas of responsibility and in more »
and bottlenecks. Data-Driven Leadership: Collect, analyze, and report key metrics to assess engineering effectiveness. Leverage data for strategic decisions and present actionableinsights to leadership. Coaching and Mentoring: Offer direct coaching, guidance, and mentorship to team members, while also leading training programs and immersion practices more »
and bottlenecks. Data-Driven Leadership: Collect, analyze, and report key metrics to assess engineering effectiveness. Leverage data for strategic decisions and present actionableinsights to leadership. Coaching and Mentoring: Offer direct coaching, guidance, and mentorship to team members, while also leading training programs and immersion practices more »
and bottlenecks. Data-Driven Leadership: Collect, analyze, and report key metrics to assess engineering effectiveness. Leverage data for strategic decisions and present actionableinsights to leadership. Coaching and Mentoring: Offer direct coaching, guidance, and mentorship to team members, while also leading training programs and immersion practices more »
and bottlenecks. Data-Driven Leadership: Collect, analyze, and report key metrics to assess engineering effectiveness. Leverage data for strategic decisions and present actionableinsights to leadership. Coaching and Mentoring: Offer direct coaching, guidance, and mentorship to team members, while also leading training programs and immersion practices more »
and bottlenecks. Data-Driven Leadership: Collect, analyze, and report key metrics to assess engineering effectiveness. Leverage data for strategic decisions and present actionableinsights to leadership. Coaching and Mentoring: Offer direct coaching, guidance, and mentorship to team members, while also leading training programs and immersion practices more »
and bottlenecks. Data-Driven Leadership: Collect, analyze, and report key metrics to assess engineering effectiveness. Leverage data for strategic decisions and present actionableinsights to leadership. Coaching and Mentoring: Offer direct coaching, guidance, and mentorship to team members, while also leading training programs and immersion practices more »
and bottlenecks. Data-Driven Leadership: Collect, analyze, and report key metrics to assess engineering effectiveness. Leverage data for strategic decisions and present actionableinsights to leadership. Coaching and Mentoring: Offer direct coaching, guidance, and mentorship to team members, while also leading training programs and immersion practices more »
