{"id":3220496,"url":"https://alion.io/job/farm-credit-canada-data-analyst-data-solutions-development","title":"Data Analyst, Data Solutions & Development","company":{"id":1052790,"name":"Farm Credit Canada","domain":"fcc-fac.ca","url":"https://alion.io/company/fcc-fac","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Regina, Canada","Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":83040,"max":112340,"currency":"CAD","period":"year","gross":null,"usd_annual":80301},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-11-01T00:26:23Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Closing Date (MM/DD/YYYY):\n11/05/2026Worker Type:\nPermanentLanguage(s) Required:\nEnglishTerm Duration (in months):\nSalary Range (plus eligible to receive a performance based incentive, applicable to position) :\n$83,040 - $112,340Why FCC?\nAt FCC, we’re proud to be 100% invested in Canadian agriculture and food. As a federal Crown corporation, we provide financing, knowledge resources and business management software to over 103,000 customers nationwide.\nHere’s what you can expect when you join our team:\nCompetitive total rewards packages: market-aligned and performance-based salary and incentive programs, flexible and comprehensive group benefit and savings plans, and well-being support through benefits and wellness programs\n\nPurpose-driven work: We build strong relationships, share knowledge and support the people who feed the world\n\nGrowth: Learning and development opportunities to help you thrive\n\nHybrid work options\n\n-How you’ll make an impact\nHelp shape the future of data within FCC's Financial Modelling team. Your day-to-day work will be focused on building and improving the data foundations that support forecasting, pricing, corporate planning and advanced analytics across the organization.\nIn this role, you'll design, build and maintain scalable data pipelines and datasets using AWS technologies and modern data engineering practices and you'll help move, transform and prepare data so it can be used reliably by analysts, data scientists and business teams.\nYou'll work closely with modelers, data scientists, business experts and technical partners to understand data needs, develop solutions and improve how data is collected, managed and delivered. Your work will directly support better forecasting, planning and decision-making by ensuring teams have access to accurate, trusted and actionable data.\nAs the team continues to expand its data engineering capabilities, you'll have the opportunity to help support the adoption of modern data development approaches. You'll join a collaborative team that is evolving beyond traditional analytics and investing in the tools, processes and skills needed to build scalable data solutions for the future.\n\nWhat you’ll do\nGather, structure and analyze large and complex datasets to uncover insights and support business decision-making \nDesign, build and maintain scalable data solutions, repositories and automated analytics processes \nBuild reliable and efficient data pipelines that collect, process and deliver high-quality data to analytics and business teams \nDevelop scalable ETL solutions while improving data performance, monitoring and governance practices \nDevelop, test and support data pipelines, integrations and automation solutions using modern programming languages and cloud technologies \nScrutinize data using analytical tools and programming languages to identify trends, opportunities and areas for improvement and quality assurance \nAnalyze data quality, perform data cleansing activities and maintain reliable, accurate and trusted data assets \nCollaborate with business partners, developers, data engineers and subject matter experts to translate business requirements into technical solutions \nMonitor and improve data quality, governance and reporting processes to ensure data integrity and consistency \nAutomate manual processes and enhance existing analytics solutions to improve efficiency and user experience \nDocument technical specifications, development standards and business processes to support sustainable solutions \nResearch and evaluate new technologies, tools and methodologies that enhance data analytics and development capabilities \nBuild data processes by re-engineering SQL transformations and ensuring data integrity through comprehensive reporting-layer validation \nPerform post-development data quality testing and reconciliation to ensure business and technical requirements are met \nRequired qualifications\nA bachelor’s degree in Agriculture, Finance, Business, Economics, Mathematics, Statistics, Computer Science, or a related field, along with a minimum of three years of relevant experience, or an equivalent combination of education and experience \nAdvanced proficiency in data management, data manipulation, and analytical tools, with the ability to transform complex datasets into meaningful business insights \nExperience working with cloud-based data and analytics platforms, including AWS services such as Redshift, Glue, Lambda, S3, and Step Functions \nKnowledge of DataOps, DevOps, CI/CD methodologies, and automation frameworks to support efficient and scalable data solutions \nProficiency in programming languages such as Python, PySpark, and advanced SQL across various platforms \nExperience supporting enterprise-wide analytics, business intelligence, data engineering, or digital transformation initiatives \nProfessional certifications in cloud computing, data management, analytics, or related technologies are considered an asset \nNot sure you meet every requirement? We encourage you to apply anyway.\nNot sure you meet every requirement? We encourage you to apply anyway.\nYou belong here\nAtFCC, we’recommitted to creating an inclusive, equitableand accessible workplace - one that reflects the communities where we live, work and play. Our team is made stronger through diversity, and we’rededicated to building a workforce that brings together a range of backgrounds, abilitiesand perspectives. \nWe encourage qualified applicants to apply, including members of these four employment equity groups: \nIndigenous Peoples \nMembers of visible minority groups \nPersons with disabilities \nWomen\nAccessibility and accommodations\nTo support an inclusive and accessible candidate experience, we encourage anyone needing an adjustment or accommodation during any stage of the recruitment process to email us at: . An HR partner will respond and work with applicants who request a reasonableaccommodation. 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