TELUS Digital ir digitālo konsultāciju uzņēmums, kas palīdz pasaules zīmoliem izstrādāt digitālo pieredzi un platformas, kurās izmantots mākslīgais intelekts. Tā starpdisciplinārās komandas apvieno uz cilvēku vērstu dizainu, lietotāju pieredzes izpēti, programmatūras izstrādi, arhitektūru, datu zinātni, ģeneratīvo mākslīgo intelektu, digitālo mārketingu un produktu ieviešanu. Uzņēmums izstrādā arī Fuel iX™ – uzņēmumiem paredzētu ģeneratīvā mākslīgā intelekta dzinēju, kas palīdz organizācijām ieviest mākslīgā intelekta iniciatīvas ražošanas vidē. TELUS Digital personāla atlases pieejā uzsvars tiek likts uz sadarbību, globālām iespējām un pieejamību.
Senior Business Intelligence Specialist — Manila Hybrid
Turn customer experience data into actionable insights as a senior BI specialist at TELUS Digital. Build dashboards, statistical models, and automated analytics with the Manila hybrid team.
Apraksts
- Analyze business processes to find opportunities for data-driven improvement and optimization.
- Interpret large datasets and turn findings into practical business insights and recommendations.
- Design experiments and statistical tests to identify performance drivers and patterns in labeled data.
- Create dashboards, reports, and automated monitoring with Looker, Power BI, Sisense, or comparable BI tools.
- Spot potential bias in labeled data, including topic-specific and cultural or linguistic patterns.
- Work with program managers to turn analytical findings into operational and client-ready insights.
- Use Python, SQL, BigQuery, and statistical modeling for applied analytics.
- Apply predictive models, natural language processing, and bias detection methods.
- Manage structured datasets and large rater outputs, with analyses that can scale to millions of rows.
- Improve processes and automate work to reduce variation, increase efficiency, and strengthen program resilience.
- Assess and refine existing BI models to deliver high-quality solutions.
Prasības
- Bachelor’s degree in a relevant area such as computer science or information systems, or equivalent experience.
- Strong Python, SQL, and R skills.
- Applied experience with statistical modeling and experimental design, including sampling, confidence intervals, and agreement metrics.
- Experience analyzing medium to large datasets and scaling analysis as data volumes grow.
- Familiarity with BI and visualization platforms such as Looker, Sisense, Tableau, or Power BI.
- Experience with Google Cloud Platform or another cloud data environment is preferred.
- Ability to explain insights clearly in reports, dashboards, and presentations for both technical and nontechnical audiences.
- Comfort participating in client meetings as a subject matter expert.
- Ability to work in a hybrid arrangement at the Manila office two to three days per week.
Priekšrocības
- Hybrid arrangement requiring two to three days per week at the Manila office.
- In-person opportunities to innovate, collaborate, and connect with colleagues.
- Diverse and inclusive workplace.
- Equal employment opportunities.
- Work with a global team.
- Opportunities to use advanced analytics, predictive modeling, natural language processing, and bias detection.