{"id":2589756,"url":"https://alion.io/job/wake-forest-university-senior-analytics-engineer","title":"Senior Analytics Engineer","company":{"id":4571,"name":"Wake Forest University","domain":"wfu.edu","url":"https://alion.io/company/wfu","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Winston-Salem, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":153000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1721},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Cognos","optional":false},{"name":"dbt","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"Informatica","optional":false},{"name":"Looker","optional":false},{"name":"Master Data Management","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T10:31:35Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"External Applicants:\nPlease ensure all required documents are ready to upload before beginning your application, including your resume, cover letter, and any additional materials specified in the job description.\nCover Letter and Supporting Documents:\nNavigate to the \"My Experience\" application page.\n\nLocate the \"Resume/CV\" document upload section at the bottom of the page.\n\nUse the \"Select Files\" button to upload your cover letter, resume, and any other required supporting documents. You can select multiple files.\n\nImportant Note: The \"My Experience\" page is the only opportunity to attach your cover letter, resume, and supporting documents. You will not be able to modify your application or add attachments after submission.\nCurrent Employees:\nApply from your existing Workday account in the Jobs Hub. Do not apply from this website.\nA cover letter is required for all positions; optional for facilities, campus services, and hospitality roles unless otherwise specified.\nJob Description Summary\nWe are a small team of analytic practitioners inside Information Systems, and we serve the entire university - academic units, enrollment, advancement, finance, HR, and student life. Some weeks that means sitting with a stakeholder to shape how their data should be structured. Other weeks it means building the pipeline, the model, and the dashboard end to end.Nobody on this team hands work over a wall. You will meet the stakeholder, understand the problem, design the solution, build it, and stay with it through adoption. If that scope sounds like a lot, it is - and it's the reason the work is interesting.\nWe are also in the middle of a genuine platform shift. We're moving from a legacy reporting estate toward a modern lakehouse architecture on AWS and Microsoft Fabric, and replacing low-code integration with spec-driven development in Python.\nAlongside that, we're early in our AI journey - deliberately so. We have projects scoped and moving forward now, and we're working out what AI actually changes about this craft, from AI-assisted engineering through to agentic analytics for our stakeholders. We're not promising you a mature AI practice to plug into. We're offering something better: a chance to help build one.\nWhat we offer\nA small team where your work is visible and your judgment matters\nRoom to shape a platform migration rather than maintain a finished one\nReal support for learning - training, certification, and time to explore new tools\nFlexibility in how you work: hybrid by default, with roughly one day a week on campus\n•The breadth of a university: no two stakeholder problems look alike\nJob Description\nPartner with the institution\nWork directly with stakeholders across campus to understand their questions before defining a solution - requirements gathering is a conversation, not a ticket.\nAdvise on data architecture, data management, and governance practices for units building their own capability.\nCoach and support customers through implementation and adoption. Service is a core part of this job, not an afterthought.\nBuild the solutions\nDesign and develop data pipelines, models, and analytic products spanning our source systems - Workday (SIS, Finance, HCM) among them.\nWrite the SQL that does the heavy lifting: complex, performant, and readable enough that the next person can maintain it.\nBuild and tune curated data layers in AWS Lake Formation/Athena and Microsoft Fabric, and deliver reporting through Power BI and other analytic tools. •Own solutions through the full lifecycle - discovery, design, build, test, deploy, support, iterate.\nModernize the platform\nHelp move our integration work from SnapLogic toward spec-driven development in Python using AI-assisted tooling.\nContribute to decisions on our future warehouse direction, including evaluation of Redshift and Snowflake.\nHelp retire legacy reporting (Cognos) responsibly, without disrupting the people who depend on it today.\nTake on AI projects as we scope them, and help us separate what genuinely improves our work from what only looks like it does.\nAdditional Job Description\nRequired Education, Knowledge, Skills, Abilities:\nFive or more years of hands-on experience building a data warehouse, data pipeline, or analytics solutions in a professional setting.\nStrong SQL. This is the non-negotiable one - the ability to write, debug, and optimize complex queries against large datasets.\nWorking proficiency in Python, or clear evidence you can get there quickly.\nExperience with a cloud data platform (AWS, Azure, or GCP) and modern warehouse or lakehouse patterns.\nExperience building reports and dashboards in a modern BI tool (Power BI, Tableau, Cognos, Looker, or similar).\nThe ability to translate between technical and non-technical audiences - and the patience to do it well with people who are not data professionals.\nA self-starter's instinct: you can pick up an ambiguous problem, ask good questions, and make progress without being handed a task list. •Genuine interest in learning technologies you haven't used yet.\nA bachelor's degree. We're open on the field of study - we've seen strong analytics people come from music, philosophy, and biology as often as from computer science.\nPreferred Education, Knowledge, Skills, Abilities:\nExperience with Workday, particularly Prism or Reports\nHigher education experience, or experience with student, finance, or HR data domains •Microsoft Fabric, AWS Lake Formation, or Athena\nIntegration platform experience (SnapLogic, Informatica, Fivetran, dbt, Airflow) •Practical experience applying LLMs or AI agents to engineering or analytics work\nData governance, data quality, or master data management experience\nAccountabilities:\nIndividual contributor who works as part of a team, applying established standards and developing their skills. Receives guidance and direction from senior team members and management on more complex tasks\n*This position is not eligible for sponsorship of non-immigrant or immigrant visa status through Wake Forest University. All eligible applicants are encouraged to apply.\nTime Type Requirement\nFull timeNote to Applicant:\nThis position profile identifies the key responsibilities and expectations for performance. It cannot encompass all specific job tasks that an employee may be required to perform. Employees are required to follow any other job-related instructions and perform job-related duties as may be reasonably assigned by his/her supervisor.\nIn order to provide a safe and productive learning and living community, Wake Forest University conducts background investigations and drug screens for all final staff candidates being considered for employment.\nEqual Opportunity Statement\nThe University is an equal opportunity employer and welcomes all qualified candidates to apply without regard to race, color, religion, national origin, sex, age, sexual orientation, gender identity and expression, genetic information, disability and military or veteran status.\nAccommodations for Applicants\nIf you are an individual with a disability and need an accommodation to participate in the application or interview process, please contact  or (336) 758-4700.","description_format":"text","description_chars":7188,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Higher Education"],"lifecycle":[{"event":"open","at":"2026-10-15T05:28:59Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 41 · green card filings: 6","filings_12m":41,"filings_prev_12m":32,"green_card_filings_12m":6,"median_offered_wage_usd":62500,"route":null,"cap_exempt":true,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":1,"expected_fill_days":30,"reasons":["conf:0","win:early"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/wake-forest-university-senior-analytics-engineer","json_url":"https://alion.io/job/wake-forest-university-senior-analytics-engineer.json","meta":{"generated_at":"2026-10-16T02:49:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4263,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4571},"rest":"https://alion.io/mcp/rest/get_company?id=4571"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwake-forest-university-senior-analytics-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fwake-forest-university-senior-analytics-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fwake-forest-university-senior-analytics-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/wake-forest-university-senior-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwake-forest-university-senior-analytics-engineer"}]}