Reliability Data Engineer

Jones Lange Lasalle Inc. Chandler , AZ 85249

Posted 4 weeks ago

Key Responsibilities:

  • Consult with clients, partners, and stakeholders and understand business needs and challenges. Advice on strategies applied to Operations, Facilities Management and Preventative and Corrective Maintenance.

  • Deliver high-impact solutions including dashboards, visualizations, and extensions.

  • Deliver high-quality, action-oriented, compelling recommendations and insights for decision makers based on descriptive, predictive and prescriptive analytics.

  • Deliver models and complex data analyses using rigorous methodologies.

  • Find, collect, explore, validate, and prepare the data for analysis. Responsibilities would include querying, scraping, loading, validating, cleaning, aggregating, transforming, detecting outliers, imputing missing values, developing features, and scripting these processes.

  • Develop processes that automate the extraction, preparation, and analysis of data in order to deliver reproducible results and reusable components.

  • Thoroughly validate quality of outputs and perform peer review for other team members.

  • Manage projects, ongoing requests, and resolve issues in order to ensure delivery on time and according to specifications.

  • Research options, methodologies, technologies, and tools required for projects.

  • Strive for excellent service delivery and development of both hard and soft-skills.

Required Skills:

  • Excellent quantitative, analytical, and problem-solving skills.

  • Team player able to collaborate effectively in large cross-functional projects.

  • Client orientation, business acumen, and execution skills to drive superior business results.

  • Experience using data to answer business questions, find new insights, understand drivers, detect potential issues, and make recommendations to decision makers.

  • Develop impactful visualizations, dashboards, and reports.

  • Demonstrated experience developing processes to extract, load, and transform data from different types of structured and unstructured sources.

  • Demonstrated experience developing data-prep processes and feature-engineering pipelines to help feed analytical databases, dashboards, data models, and data analyses.

  • Passionate about challenges, quality of work and reputation.

  • Ability to multi-task and deliver outstanding results under time pressure.

  • Ability to organize time and tasks and communicate risks pro-actively.

  • Ability to quickly learn new methods, algorithms, techniques, and tools.

  • High Level of expertise with Excel

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Reliability Data Engineer

Jones Lange Lasalle Inc.