{"id":782825,"url":"https://alion.io/job/ameriprise-data-analytics-reporting-analyst-data-engineering-team","title":"Data, Analytics & Reporting Analyst - Data Engineering Team","company":{"id":449655,"name":"Ameriprise Financial","domain":"ameriprise.com","url":"https://alion.io/company/ameriprise","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":98,"open_postings":26,"ghost_share":0,"stale_share":0.038,"repost_share":0.038,"time_to_fill_p50_days":23,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":45000,"max_usd":121000,"period":"year","method":"role_country_seniority_unknown","sample_n":104},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-09-04T00:00:00Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-05T01:31:11Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"About Columbia Threadneedle Investments\nWorking at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses.\nWe're intentionally built to help you succeed. Our reach is expansive with a global team of 2,300 people working together. Our capability is diverse with more than 550 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Our unwavering focus on our clients and strong financial foundation connects each of our enterprise businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities.\nJob Description\nJoin our Data Engineering team and help shape the data, analytics and reporting capabilities that support investment oversight, research, portfolio construction and manager selection.You will partner with Coverage Analysts, Investment Strategy & Research and Multi-Manager Solutions professionals to translate complex business needs into high-quality data solutions, quantitative models and actionable reporting. This hands-on role offers meaningful ownership, cross-functional influence and the opportunity to strengthen data quality, automate critical workflows and introduce innovative analytical capabilities.\nYou will contribute directly to how our investment teams generate insights and make informed decisions while continuing to grow your technical and investment expertise.\nResponsibilities\nPartner closely with Coverage Analysts, Investment Strategy & Research and Multi-Manager Solutions professionals to understand analytical needs and translate them into effective data solutions, models and reporting.\nParticipate in research discussions and project planning, aligning data and analytical capabilities with investment oversight, research, portfolio construction and manager selection priorities.\nSource, validate and maintain investment data across platforms and databases, ensuring quality, consistency, accessibility and reliable data feeds for investment teams and broader stakeholders.\nBuild, maintain and enhance quantitative models, analytical tools and performance attribution systems, including solutions that support backtesting, scenario analysis and factor-based research.\nAutomate recurring analytical and reporting workflows to improve efficiency, accuracy and timely delivery of performance reports, risk metrics and strategy dashboards.\nDesign and maintain dashboards and data visualisations that give investment professionals ready access to decision-useful information.\nApply sound model governance practices, including clear documentation, version control and validation protocols.\nDrive process improvement by evaluating new technologies and methodologies, including artificial intelligence and machine learning, and support product development and market research through data analysis and quantitative modelling.\nCollaborate with Enterprise Technology, Information Technology and Investment Risk Management teams on technology enhancements, platform development and analytical needs, while coordinating effectively with colleagues across Boston, New York, London and India.\nRequired Qualifications\nPrior experience in data analytics, quantitative development or reporting within investment management or financial services, with strong knowledge of investment data, portfolio analytics, performance attribution and risk.\nBachelor's or Master's degree in mathematics, statistics, computer science, data science or a related quantitative field.\nAdvanced proficiency in Python, R and Structured Query Language (SQL), together with experience using database platforms.\nStrong communication skills, with the ability to explain complex concepts clearly to technical and non-technical audiences and collaborate across functions and locations.\nProven ability to manage multiple priorities, deliver high-quality work to deadlines and demonstrate initiative, intellectual curiosity and a practical problem-solving mindset.\nPreferred Qualifications\nProfessional certification such as Chartered Financial Analyst (CFA) or Financial Risk Manager (FRM) is preferred.\nExperience with cloud platforms such as Amazon Web Services or Microsoft Azure, big data technologies or business intelligence tools is preferred.\nExperience with investment data platforms such as Bloomberg, FactSet, Morningstar, eVestment or Aladdin is preferred.\nBackground in investment consulting, multi-manager investing or investment operations is preferred.\n In-Office Collaboration\nWe are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders - clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.\nFull-Time/Part-Time\nFull timeWorker Sub Type\nPermanentJob Family Group\nInvestment ManagementColumbia Threadneedle is a people business, and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to fostering an inclusive and performance-based culture where everyone can belong, grow, contribute and realise their potential.\nWe appreciate that work-life balance is an important factor for many when considering their next move so please discuss any flexible working requirements directly with your recruiter.\nColumbia Threadneedle Investments is an equal opportunity employer. We consider all qualified applicants without regard to racial or ethnic background, religion or belief, sex or gender, nationality, genetic information, age, sexual orientation, gender identity, disability, marital status, pregnancy or maternity or any other basis prohibited by law.\nWe are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to aid your participation in the application or interview process, speak to your recruiter to discuss how we can support you.","description_format":"text","description_chars":6520,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Asset Management & Funds","Life Insurance & Annuities"],"lifecycle":[{"event":"open","at":"2026-09-12T01:03:21Z"},{"event":"close","at":"2026-10-02T00:23:45Z"},{"event":"reopen","at":"2026-10-02T14:24:50Z"}],"visa":[],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":1,"p_active":0.499,"p_room":0.55,"age_days":30,"expected_fill_days":23,"reasons":["conf:1","velocity","win:tail","comp:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ameriprise-data-analytics-reporting-analyst-data-engineering-team","json_url":"https://alion.io/job/ameriprise-data-analytics-reporting-analyst-data-engineering-team.json","meta":{"generated_at":"2026-10-05T02:24:40Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3229,"day_limit":5000,"remaining_today":1771,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}