{"id":1725947,"url":"https://alion.io/job/bentley-university-data-analytics-specialist","title":"Data Analytics Specialist","company":{"id":96709,"name":"Bentley University","domain":"bentley.edu","url":"https://alion.io/company/bentley-university","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Waltham, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":67960,"max":113126,"currency":"USD","period":"year","gross":null,"usd_annual":113126},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Git","optional":true},{"name":"Microsoft Fabric","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-02T21:55:44Z","employer_posted_date":"2026-10-02","last_verified_at":"2026-10-14T14:19:43Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Job Description Summary\nReporting to the Associate Director of Data Analytics and Insights on the Data Engineering and Operations team, the Data Analytics Specialist supports Bentley University’s enterprise data and analytics ecosystem by translating business needs into well-defined data requirements, building and maintaining trusted reporting and dashboard solutions, and partnering with data engineering and business teams to deliver scalable data products. The role combines business analysis, BI development, data modeling, testing, and hands-on engineering support across the analytics delivery lifecycle. The position may apply statistical, predictive, or machine learning techniques when they are appropriate to the business need, while maintaining a primary focus on reliable data, actionable analysis, and decision-ready reporting.Essential Duties & Responsibilities:\nBusiness Analysis & Data Requirements\nCollaborate with business partners, cross-functional teams, and IT units to gather, clarify, and document detailed business, data, and reporting requirements. \nTranslate business needs into technical specifications, user stories, acceptance criteria, data mappings, semantic model requirements, and analytics deliverables. \nLead or support stakeholder interviews, discovery sessions, process mapping, workflow analysis, and use-case development. \nConduct data discovery and profiling to understand source systems, data structures, data quality, lineage, and end-to-end data movement. \nResearch and work with the data governance manager to resolve complex questions related to enterprise reporting, data definitions, business rules, and data usage across systems. \nPartner with data governance stakeholders to define shared terminology, document data definitions, and promote consistent and responsible data use. \nReporting, Dashboards & BI Development\nAnalyze, define, design, build, test, deploy, and maintain reports and interactive dashboards across BI platforms, including Power BI and SQL-based outputs. \nDevelop and maintain semantic models, relationships, calculations, queries, and measures using Power BI, DAX, Power Query (M), and SQL. \nCreate intuitive data visualizations that communicate insights clearly to technical and non-technical audiences and support data-informed decision-making. \nPerform exploratory and statistical analysis to identify trends, patterns, relationships, and actionable insights. \nApply predictive analytics, machine learning, or other advanced analytical methods selectively when they add clear value; evaluate results and communicate limitations appropriately. \nProvide dashboard prototyping, iterative refinement, performance optimization, release support, and ongoing maintenance across the full BI development lifecycle. \nProvide training, documentation, and ongoing support to report consumers and business users. \nIdentify opportunities for business process optimization, reporting consolidation, self-service enablement, and data quality improvement. \nSupport continuous improvement of dashboard standards, naming conventions, documentation expectations, accessibility practices, and BI development best practices.\nData Engineering & Analytics Enablement\nCollaborate with data engineers to design, refine, test, and monitor data pipelines and curated datasets that support enterprise analytics. \nDevelop and maintain data transformations, reusable queries, data models, and analytics-ready structures across structured, semi-structured, and unstructured sources. \nValidate data completeness, accuracy, timeliness, and consistency across source systems, pipelines, semantic models, and reports; document and help resolve data quality issues. \nSupport ETL/ELT workflows, data integration requirements, source-to-target mappings, and troubleshooting of data movement across the Azure data ecosystem. \nContribute to scalable, maintainable analytics solutions through sound development practices, technical documentation, version control, deployment discipline, and monitoring. \nSystem Testing & Project Delivery\nCoordinate and perform testing to confirm that documented requirements and quality expectations are met. \nDevelop test plans, test cases, expected results, reconciliation approaches, and supporting evidence for data and BI solutions. \nManage and facilitate User Acceptance Testing (UAT), track issues through resolution, validate corrections, and obtain end-user approval. \nSupport project delivery lifecycle activities, including estimation, design review, backlog refinement, documentation, release readiness, and training.\nCommunicate status, risks, dependencies, decisions, and data issues to project stakeholders and delivery partners. \nBalance multiple concurrent priorities while meeting agreed-upon delivery commitments and maintaining solution quality. \nDocumentation, Governance & Continuous Improvement\nCreate and maintain business requirements documents, technical requirements documents, data dictionaries, process flows, source-to-target mappings, test documentation, release notes, and user guides. \nEnsure solutions align with confidentiality, privacy, security, accessibility, and data governance expectations. \nProvide recommendations and actionable insights based on analytical findings and assist in the development of data-informed strategies and initiatives. \nStay current on developments in business intelligence, data engineering, analytics, artificial intelligence, and responsible data practices; recommend practical improvements when appropriate. \nMinimum Qualifications:\nBachelor’s degree in data analytics, information systems, computer science, statistics, mathematics, economics, or a related field.\nTwo or more years of progressive experience in data analytics, business systems analysis, enterprise reporting, business intelligence, or a related discipline. \nDemonstrated expertise in requirements-gathering methodologies, including stakeholder interviews, process mapping, use-case development, and workflow analysis, and in translating business requirements into detailed technical specifications for reporting, dashboards, data models, and data solutions. \nTwo or more years of hands-on experience with Power BI or other similar tools, including data modeling, DAX, Power Query (M), semantic model design, dashboard prototyping, iteration, deployment, and ongoing optimization across the full BI development lifecycle. \nTwo or more years of experience with data modeling and the design of efficient, analytics-ready data structures. \nProficiency with SQL and experience extracting, transforming, validating, and analyzing structured and semi-structured data; familiarity with unstructured data is beneficial. \nStrong understanding of data warehousing concepts, relational and dimensional data models, ETL/ELT frameworks, and cloud data platform concepts, preferably within the Azure ecosystem, such as Data Lake, Synapse, Fabric, or comparable technologies. \nProven experience collaborating with data engineering teams to refine data pipelines, validate data quality, support data governance, troubleshoot data flow issues, and deliver scalable analytics solutions. \nExperience planning and executing system, data, integration, and User Acceptance Testing, including issue tracking and resolution validation. \nAbility to create high-quality business and technical requirements, data dictionaries, process documentation, test plans, source-to-target mappings, and user guides, with strong attention to detail and version control. \nStrong analytical and problem-solving skills, with the ability to transform complex datasets into clear findings and actionable insights for technical and non-technical audiences. \nExcellent communication, facilitation, and collaboration skills, with the ability to lead cross-functional discovery sessions, build alignment, and support decision-making. \nAbility to manage multiple projects and priorities, work independently and collaboratively, and adapt in a dynamic environment. \nPreferred Qualifications:\nExperience in higher education and familiarity with academic or administrative data domains. \nExperience with Python or R for data preparation, automation, statistical analysis, or selective advanced analytics use cases. \nExperience with Azure data services, Microsoft Fabric, data lakehouse or warehouse platforms, Git-based version control, and deployment workflows. \nFamiliarity with data privacy, security, governance, and compliance requirements associated with institutional or student data. \nExperience applying predictive analytics or machine learning techniques to well-defined business problems, including evaluation and communication of model limitations. \nRelevant certifications in Power BI, Microsoft Fabric, Azure, data engineering, data analytics, or related technologies. \nWork Environment:\nThis position requires working on-site several days a month and is not available as a fully remote role. \nTypical office setting with extensive computer-based work. \nMay require occasional travel across campus for meetings and other work-related events. \nPay Transparency\nAt Bentley we offer a “total rewards ” package designed to attract, motivate, retain, and reward our employees. This includes competitive compensation, robust benefits, career development and opportunities, generous paid time off, workplace flexibility and a positive, engaging employee experience. In alignment with the Massachusetts Pay Transparency Act and our commitment to equity and transparency, we’re sharing the salary grade range for this role. The grade range is based on market data and the scope of responsibilities. Final pay will depend on your experience, education, and other relevant qualifications.\nSalary Grade Range:\n$67,960 - $113,126 per year\nIf you have questions about the salary grade range or need additional information, please contact us at .\nBentley University requires references checks and may conduct other pre-employment screening.\nDIVERSITY STATEMENT\nBentley University strives to create a campus community that welcomes the exchange of ideas, and fosters a culture that values differences and views them as a strength in our community.\nBentley University is an Equal Opportunity Employer, building strength through diversity. The University is committed to building a community of talented students, faculty and staff who reflect the diversity of global business. We strongly encourage applications from persons from underrepresented groups, individuals with disabilities, covered veterans and those with diverse experiences and backgrounds.","description_format":"text","description_chars":10632,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Education","Higher Education","Continuing Education"],"lifecycle":[{"event":"open","at":"2026-10-02T21:55:44Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 11 · green card filings: 3","filings_12m":11,"filings_prev_12m":21,"green_card_filings_12m":3,"median_offered_wage_usd":143214,"route":null,"cap_exempt":true,"checked_at":"2026-10-03T21:08:04+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":88,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.876,"p_room":1,"age_days":11,"expected_fill_days":66,"reasons":["conf:19","velocity","win:early","comp:junior"],"computed_at":"2026-10-14T06:34:16Z"},"pay":{"stated_usd_annual":113126,"is_top_pay":false},"html_url":"https://alion.io/job/bentley-university-data-analytics-specialist","json_url":"https://alion.io/job/bentley-university-data-analytics-specialist.json","meta":{"generated_at":"2026-10-14T17:03:49Z","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":21774,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":96709},"rest":"https://alion.io/mcp/rest/get_company?id=96709"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbentley-university-data-analytics-specialist"},{"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%2Fbentley-university-data-analytics-specialist"},{"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%2Fbentley-university-data-analytics-specialist"},{"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/bentley-university-data-analytics-specialist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbentley-university-data-analytics-specialist"}]}