{"id":1388571,"url":"https://alion.io/job/ghd-analytics-engineer","title":"Analytics Engineer","company":{"id":1821071,"name":"GHD","domain":"ghd.com","url":"https://alion.io/company/ghd-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":41,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Makati, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":13000,"max_usd":33000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":937},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Azure SQL Database","optional":true},{"name":"Machine Learning","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-10T06:33:46Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-01T09:14:21Z","board_verified":true,"closed_at":null,"days_open":21,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":21},"description":"At GHD, we don’t just believe in the power of commitment, we live and breathe it every day\nThat’s why we pledge to support and empower all of our people to make a positive impact when working with the right technology and training as you bring ideas and projects to life.\nTogether with your colleagues, clients and partners, you'll make an impact that is felt by all. See where your commitment could take you.\nWho are we looking for?\nAn Analytics Engineer to join the IS Data & Analytics team.\nThis role’s primary function will be in data transformation & modelling, data quality & reliability, stakeholder enablement and engineering practice.\nKey Responsibilities\nDesign, build, and maintain data models and Power BI semantic models across the bronze, silver, and gold layers in Microsoft Fabric, using SQL (dbt) and notebooks\n\nWrite tests to check data quality and integrity, and fix data problems\n\nCollaborate with data scientists, data analysts, and business analysts to understand data requirements and transform raw data into actionable insights\n\nTake part in code reviews and contribute to the continuous improvement of engineering standards and best practices\n\nOptimize performance to support efficient, scalable, and reliable data pipelines\n\nTo be considered for this role, we are looking for someone with:\nBachelor’s degree in Computer Science, Information Systems, Data Analytics, or any related discipline.\n\n3-5 years of experience in analytics engineering, data engineering, or BI / data warehouse work, with experience delivering at least two full-cycle data analytics projects\nStrong SQL skills and a good understanding of data modelling (star schemas, fact and dimension tables, slowly changing dimensions)\nHands-on Microsoft Fabric across the medallion architecture (Lakehouse, Warehouse, Dataflow Gen2, notebooks) or a similar tool such as Databricks, Synapse, or Snowflake with dbt.\nSemantic models & DAX for Power BI (measures, relationships, row-level security)\nSoftware engineering practice: Git for version control, peer review, using CI/CD pipelines, and producing modular, reusable code\nTurning business needs into clear, documented metric/KPI definitions and data contracts, and into scalable analytics solutions\nClear communication, in writing and speaking, with both technical and business stakeholders\nHighly Desireable\nPython/ PySpark and Power Query for larger data job\nData quality & testing: automated data tests, validation/expectations, and reconciliation\nSome experience with performance tuning and Fabric cost / capacity \nFamiliarity with governance tools (Microsoft Purview), data lineage, and handling personal data (PII) \nOrchestration with Data Factory pipelines and workflow scheduling\nNice To Have\nKQL and real time analytics (Eventhouse / RIT) \nBasic AI/ ML Knowledge and preparing data for machine learning \nOther Azure Tools: ADLS, Azure SQL, Key Vault, Azure DevOps \nWork Schedule: Monday to Friday / 8:00am to 5:00pm\nThis job offer can be based either in Makati City, Quezon City or Cebu office, depending on your home base/ location.\nOur Hybrid Work Model\nBe part of the dynamic culture! Our workplace thrives on a hybrid model, combining in-office collaboration and flexibility. Join us in office, three days a week to contribute, connect and excel in our vibrant environment.\nApplicants must be a Filipino Citizen or have the right to work in the Philippines.\nWe respectfully ask that no agency resumes be presented at this stage.\n#LI-Hybrid","description_format":"text","description_chars":3492,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Filipino","level":"All levels","optional":false}]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Philippines","iso":"PH","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy & Utilities","Professional Services","Construction"],"lifecycle":[{"event":"open","at":"2026-09-28T11:06:37Z"}],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.583,"p_room":0.9,"age_days":20,"expected_fill_days":38,"reasons":["conf:7","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ghd-analytics-engineer","json_url":"https://alion.io/job/ghd-analytics-engineer.json","meta":{"generated_at":"2026-10-01T13:23:07Z","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":4997,"day_limit":5000,"remaining_today":3,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}