{"id":772320,"url":"https://alion.io/job/apgecommerce-reporting-insights-analyst","title":"Reporting Insights Analyst","company":{"id":669527,"name":"APG Ecommerce Solutions","domain":"apgecommerce.com","url":"https://alion.io/company/apgecommerce","size_band":"51-200","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"BambooHR","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"explicit","locations":["Amman, Jordan"],"countries":["JO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":76000,"max_usd":173000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1330},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Agile","optional":true},{"name":"CI/CD","optional":true},{"name":"Confluence","optional":true},{"name":"GitLab","optional":true},{"name":"Jira","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-08-12T00:00:00Z","employer_posted_date":"2026-08-12","last_verified_at":"2026-09-24T01:32:43Z","board_verified":true,"closed_at":null,"days_open":43,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":43},"description":"JOB TITLE:Reporting Insights Analyst\nREPORTING TO:Manager, Network Reporting\nLOCATION:Amman, Jordan\nWORKING HOURS:Able to accommodate Australian time zones\nAbout the opportunity\nThe Reporting & Insights Analyst plays a key role in enabling data-driven decision-making across Network Operations by delivering actionable insights, reporting solutions, and analytical frameworks. Working closely with operational and commercial stakeholders, you'll develop dashboards, reports, and performance metrics that provide visibility into network performance, cost, service, and delivery outcomes.\nThe role goes beyond traditional reporting, applying analytical thinking, trend analysis, forecasting, and data modelling to identify opportunities for operational optimisation and efficiency. You'll also support the development of AI and machine learning capabilities through well-governed data, predictive analytics, scenario modelling, and decision-support tools. A strong focus is placed on ensuring reporting is accurate, scalable, and user-friendly while continuously exploring innovative analytics technologies to enhance business performance.\nResponsibilities:\nReporting & Visualization\nDesign, test, and rollout reporting solutions and dashboards that enhance network visibility \nBuild and maintain analytics and reporting pipelines visualization platforms such as Looker, Tableau, and Looker ML. \nCollaborate with data, digital, and operations teams to ensure solutions are scalable, integrated, and aligned to business needs. \nContinuously improve reporting frameworks to support evolving analytical capabilities, including AI/ML-enabled insights and simulation platforms. \nEnsure all reporting outputs comply with data governance standards, maintaining accuracy, integrity, and transparency. \nTranslate complex operational and financial data into clear, accessible reports for stakeholders at all levels. \nDevelop and maintain KPI frameworks that clearly link operational performance, cost, service, and customer outcomes across the logistics network. \nDesign dashboards that support diagnostic and exploratory analysis, enabling users to move from high level performance views to root cause investigation \nData Integration & Management\nPrepare, clean, and integrate largescale datasets from multiple sources, including GCP, SQL, Internal data sets (ie: Transport management systems, digital network map and dynamic sortation systems) and external datasets, to ensure accuracy and consistency. \nContribute to the central analytics platform by supporting data pipelines, ETL processes, and scalable reporting solutions. \nInsights & Analytics Support\nAssist in the development of dashboards, reports, and models that provide actionable insights across the network (including internal and external data, Geospatial perspectives) \nSupport predictive analytics, scenario modelling, and simulation tools to inform strategic and tactical decisions. \nContribute to the development of a centralised analytics platform that integrates data across first, middle, and last mile operations. \nMonitor KPIs, SLAs, and key operational metrics, providing early alerts for deviations or anomalies. \nAnalyse trends, patterns, and anomalies in logistics performance data to identify drivers of variation and opportunities for improvement across transportation, processing, and last mile operations. \nSupport the development of predictive models, simulations, and optimisation analyses (e.g. demand outlooks, routing efficiency, capacity utilisation) by preparing data, validating outputs, and embedding results into reporting workflows \nAnalyse the impact of operational and network scenarios (e.g. changes in demand, service mix, routing, or cost assumptions) using structured analytical and modelling techniques. \nCollaborate with optimisation, forecasting, and network design teams to translate analytical findings into practical, implementable recommendations. \nCapability Uplift & Change Support\nHelp uplift analytical capability across the network by supporting training, documentation, and user engagement. \nAct as a liaison between technical teams and operational users to ensure tools are intuitive and insights are understood. \nSupport the adoption of new technologies and practices across the network. \nWork closely with data engineers, analysts, and operations teams to ensure reporting solutions are aligned, scalable, and integrated. \nSupport other teams in understanding and interpreting data outputs to drive informed decision-making. \nSupport training, workshops, and knowledge sharing to help stakeholders interpret insights, understand assumptions, and confidently use analytical tools in decision making \nGovernance & Continuous Improvement\nContribute to governance processes for tool development, data quality, and version control. \nMonitor tool usage and performance and support continuous improvement initiatives. \nEnsure alignment with enterprise data, safety, and compliance standards. \nDocument reporting processes, data definitions, and assumptions to maintain clarity and reproducibility. \nIdentify opportunities to automate manual reporting processes and improve reporting efficiency. \nSupport the integration of advanced analytics capabilities (AI/ML, simulation, geospatial analytics) into reporting workflows \nApply disciplined documentation of logic, assumptions, data definitions, and methodologies to ensure reporting and insights are reproducible, auditable, and trusted \nEssential experience:\nBachelor’s degree in supply chain, Logistics, Finance, Engineering, Business, or a related field\n5+ years of experience in analytics, tool development, or operations support within logistics, supply chain, or network environments.\nExperience supporting performance reporting and/or incentive frameworks, ideally in a delivery or logistics context.\nProficiency in data visualization and reporting tools such as Tableau, and Looker; experience with Looker ML is a plus.\nFamiliarity with Python, R, or other analytics languages is advantageous for preparing datasets, supporting predictive insights, or automating workflows.\nUnderstanding of logistics operations, network planning, and key performance drivers.\nExperience in Agile delivery environments, using tools such as Jira for work management, GitLab for version control and CI/CD, and Confluence for documentation, governance, and knowledge sharing of analytics.\nAwareness of AI/ML applications in analytics and ability to collaborate with Data Solutions or AI teams to integrate predictive and prescriptive insights into reporting workflows.\nExposure to digital transformation initiatives, particularly in data, forecasting, or automation.\nStrong communication and collaboration skills, with the ability to work across technical and operational teams.\nAbility to translate business needs into technical requirements and vice versa.\nComfortable working in a fast-paced, evolving environment.\nStrong focus on data quality, governance, and reproducibility, ensuring reporting outputs are accurate, reliable, and actionable.\nAbility to perform exploratory and diagnostic analysis, moving beyond standard reporting to identify root causes and improvement opportunities. \nFamiliarity with predictive analytics, optimisation, and machine learning concepts, with the ability to support or operationalise outputs developed by specialist data science teams\nQualifications or coursework in data science, statistics, operations research, or analytics are desirable, as is experience developing analytical tools, dashboards, and reporting solutions or tool development (desirable).","description_format":"text","description_chars":7632,"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":"Jordan","iso":"JO","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-11T21:51:31Z"}],"liveness":{"score":36,"band":"fade","label":"Fading","p_open":1,"p_active":0.659,"p_room":0.55,"age_days":43,"expected_fill_days":42,"reasons":["conf:4","win:tail"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/apgecommerce-reporting-insights-analyst","json_url":"https://alion.io/job/apgecommerce-reporting-insights-analyst.json","meta":{"generated_at":"2026-09-24T06:03:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}