{"id":3302079,"url":"https://alion.io/job/natwest-group-data-analytics-analyst","title":"Data & Analytics Analyst","company":{"id":184520,"name":"NatWest Group","domain":"natwestgroup.com","url":"https://alion.io/company/natwestgroup","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":9,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Edinburgh, United Kingdom","Belfast, United Kingdom","London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":57000,"max_usd":116000,"period":"year","method":"role_country_seniority_unknown","sample_n":276},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-26T23:59:51Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-10-27T05:03:31Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Join us as a Data & Analytics Analyst\nThis is an opportunity to take on a purpose-led role in a cutting edge Data & Analytics team\nYou’ll be consulting with our stakeholders to understand their needs and identify suitable data and analytics solutions to meet them along with business challenges in line with our purpose\nYou’ll bring advanced analytics to life through visualisation in a meaningful way for key stakeholders, giving you excellent recognition for your work\nWhat you'll do\nAs a Data & Analytics Analyst, you’ll be using advanced analytics to develop business solutions which increase the understanding of our business, including its customers, processes, channels and products. You’ll be working closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through advanced analytics, making sure that new and existing processes are designed to be efficient, simple and automated where possible.\nAs well as this, you’ll be:\nWorking in an Agile way within multi-disciplinary data and analytics teams, co-ordinating resources from across the team and the business to achieve agreed project and scrum outcomes\nDelivering data and analytics expertise and solutions, which brings commercial and customer value to business challenges\nCommunicating data and analytics opportunities and bringing them to life in a way that business stakeholders can understand and engage with, supporting them to select the best approach for the business needs\nUsing new tools, technologies and methodologies to carry out advanced analytics\nSharing relevant updates with key stakeholders bringing together advanced analytics, data science and data engineering work that is easily understandable and links back clearly to our business needs\nThe skills you'll need\nWe're looking for a data-driven individual with a passion for analytics and with an understanding of data architecture, analytics tooling and relevant coding languages, along with the ability to communicate findings in a way that helps stakeholders make informed decisions.\nYou'll combine technical expertise with commercial awareness, using data to identify opportunities, risks and business impacts across a complex organisation. 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