About Kenny
Proactive, enthusiastic and personable insight data analyst with vast business experience as well as good commercial awareness; I am an innovative individual with a passion for data interpretation and analysis by implementing initiative and creative problem-solving techniques to enable swift interpretation of complex data, as well as skillfully identifying patterns and irregularities to report on in pressurized working environments. Having grown in the big data industry, I have developed a strong analytical skill and capability to organize systematically and accurately prioritizing workloads, guaranteeing deadlines are achieved in a time-efficient manner. I enjoy working within a team by collaborating with other professionals to achieve a successful outcome. I am a collaborative worker and experienced leader, with excellent communication and interpersonal skills who can defuse conflict, coordinate multi-site/global interactions and successfully manage teams of people. I have been privileged to work in team leading and supporting different data projects with major clients within the retail, government, manufacturing, information technology and business services sectors using some of the latest technologies such as Power BI, Excel, SAS, Tableau and SQL. I am currently seeking new challenges, where expertise and skills will add value and creativity to those projects, which I become involved with to drive business growth.
English
Native or bilingual
Remote only
Primarily works remotely
Experience
- Money and Pensions ServiceOmnichannel AnalystMarch 2020 - Today (6 years and 3 months)London, UK• Provision of omnichannel reporting and analysis across the business with reports, analysis and insights to drive the performance of the MaPS omnichannel offering• Maintaining and monitoring of omnichannel multiple data sources and dashboards to assist the Digital team in reacting to signals, and to inform proactive actions based on observed trends and spikes• Using customer data to deliver a personal experience in the CRM system and the opportunity to tailor individual user experiences for the first time and also support other colleagues in Digital teams with the exploration and reporting of customer journey data.• Responsible for BAU analytics reporting across the MaPS portfolio, evaluating current performance and trend analysis across all channels. Ensuring that output is clear and easy to understand.• Analyse various types of data including website usage data, market analytics and both digital and offline customer journeys to help make data-driven decisions for ongoing improvement, product launches and to increase appointment bookings.• Use internal and cloud-based dashboards for measurement and monitoring, improving business-wide understanding of progress versus MaPS' key performance indicators.• Assist with the testing of tagging and analytics solutions across the MaPS digital estate, as part of continuous improvement.• Identifying patterns and changes in channel data that may represent opportunities for the business and reporting these to the team.• Track detailed traffic and behavioural analysis through on and offline channels, generating regular and ad hoc reports.• Support the Marketing team with development of detailed insight from our collected omnichannel data in order to increase customer acquisition, engagement and retention.• Support the Lead Omnichannel Analyst in preparing for monthly and ad-hoc team meetings for the discussion and dissemination of Digital team reporting.
- KDM HOMES LIMITEDMarketing and Business Development Consultant / Customer Insight AnalystAugust 2018 - November 2020 (2 years and 3 months)United Kingdom• Collaborating with various stakeholders and clients to provide detailed financial analysis and modelling of prospective opportunities.• Interpreting business-reporting needs, translating and supporting the project teams to collect and compile information and develop a prototype reporting templates in excel for business use.• Developed data visualizations capabilities in areas such as sales performance, cost reduction, market penetration and product portfolio using MS Excel to represent data in an easily comprehensible way, track trends and patterns and facilitate data driven discussions with the clients.• Working and collaborating with real estate's analysts to produce business plans and assisting in the due diligence of new opportunities• Consolidating and integrating datasets from multiple sources for exploratory analysis to identify anomalies, variable skewness, outliers, extreme values and noise in the data.• Queried SQL databases and data warehouses for data exploration, manipulation, transformation, aggregation and extractions purposes.• Carrying out regular research utilising publications, marketing portfolio and investment updates to identify market insights.• Created reports accurately detailing critical data element results, leveraging expert communication skills to deliver comprehensive and informative presentations to senior stakeholders in a clear and understandable manner• Reconciliation of property management and contracted supplier income and expenditure to identify year to date position, year-end forecasting and perform variance analysis.
- Pairview LimitedCustomer Insights AnalystSeptember 2018 - March 2020 (1 year and 6 months)London, UK• Utilised Decision Trees to predict the probability of customer churn based on their usage patterns, transactional and demographic data in SAS Enterprise Miner.• Segmented a retailer's customer base using key metrics including share of wallet, purchase frequency, recency and variety of products purchased to identify the high value customers.• Implemented Logistic regression in SAS Enterprise Miner to predict customer's likelihood to default on loans using their transactional, attitudinal and demographic.• Working on all stages of model development including model feature selection, model building, and validation and tracking performance.• Communicating the results through dashboards, presentations, and project reports to demonstrate performance against business goals.• Carried out exploratory analysis and customer segmentation, manipulating and analysing large sets of customer data using SAS• Investigated and provided insight into transactional, demographic and behavioural trends of customers• Carried out thorough data discovery and exploration to identify important insights that help in the overall outcome of the project.• Developed various predictive modeling algorithms to train, test and validate data sets and then score the champion models to carry out machine learning using SAS Miner proficiently throughout the projects.• Carried our Market Research on Competitions Using Google Analytics to extract Data and gain insights on competitions.• Carried out splitting testing and developing marketing plan and campaign to effectively target the right customer segment that will drive profitability to the business.
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Education
- Intermediate Python For Data Science, Computer ScienceDATACAMP2019Intermediate Python For Data Science, Computer Science
- Insight Analyst professional Training, Professional, Technical, Business, and Scientific WritingPairview Training2019Insight Analyst professional Training, Professional, Technical, Business, and Scientific Writing