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Unknown CompanyUK

Data Analyst

Project-Based

Description

Job Title:Data AnalystLocation:RemoteContract:3 monthsIR35:OutsideRate:£300-£400 per dayOverview:You'll support a major customer loyalty and rewards programme, you'll help strengthen the data foundation behind their local offers, retailer partnerships, and "offers near me" app features.Responsibilities:Carry out a full audit of existing offer and partner data, assessing quality, accuracy, completeness, and performance.Cleanse and enrich data using multiple sources (APIs, Companies House, Google Places, Yelp).Improve the accuracy and reliability of partner information and associated deals.Engage with internal and external stakeholders to fill gaps and validate missing data.Produce recommendations and a clear proposal for how partner data should be managed going forward, presenting this back to the business.Required Skills & Experience:SQL skills.Comfortable cleansing data and using external sources to enrich and validate it.Understanding of the UK retail landscape.Experience working with diverse datasets in start-ups, scale-ups, or audience-based products.Exposure to local business data, housing or demographic datasets.Background in FMCG or public-sector environments is beneficial.Able to translate findings into strategic recommendations.Confidently engaging with external stakeholders.Experience working in an Agile environment.Nice to Have:LightdashLookerdbt Job Title:Data AnalystLocation:RemoteContract:3 monthsIR35:OutsideRate:£300-£400 per day Overview:You'll support a major customer loyalty and rewards programme, you'll help strengthen the data foundation behind their local offers, retailer partnerships, and "offers near me" app features. Responsibilities: Carry out a full audit of existing offer and partner data, assessing quality, accuracy, completeness, and performance. Carry out a full audit of existing offer and partner data, assessing quality, accuracy, completeness, and performance. Cleanse and enrich data using multiple sources (APIs, Companies House, Google Places, Yelp). Cleanse and enrich data using multiple sources (APIs, Companies House, Google Places, Yelp). Improve the accuracy and reliability of partner information and associated deals. Improve the accuracy and reliability of partner information and associated deals. Engage with internal and external stakeholders to fill gaps and validate missing data. Engage with internal and external stakeholders to fill gaps and validate missing data. Produce recommendations and a clear proposal for how partner data should be managed going forward, presenting this back to the business. Produce recommendations and a clear proposal for how partner data should be managed going forward, presenting this back to the business. Required Skills & Experience: SQL skills. SQL skills. Comfortable cleansing data and using external sources to enrich and validate it. Comfortable cleansing data and using external sources to enrich and validate it. Understanding of the UK retail landscape. Understanding of the UK retail landscape. Experience working with diverse datasets in start-ups, scale-ups, or audience-based products. Experience working with diverse datasets in start-ups, scale-ups, or audience-based products. Exposure to local business data, housing or demographic datasets. Exposure to local business data, housing or demographic datasets. Background in FMCG or public-sector environments is beneficial. Background in FMCG or public-sector environments is beneficial. Able to translate findings into strategic recommendations. Able to translate findings into strategic recommendations. Confidently engaging with external stakeholders. Confidently engaging with external stakeholders. Experience working in an Agile environment. Experience working in an Agile environment. Nice to Have:

Skills

SQLAgile