Data Engineer/Analyst

JOB DESCRIPTION

#LI-Hybrid

Schneider Electric: Data Engineer/Analyst

Schneider Electric creates connected technologies that reshape industries, transform cities, and enrich lives. Our 160,000 employees thrive in more than 100 countries. From the simplest of switches to complex operational systems, our technology, software, and services improve the way our customers manage and automate their operations. Help us deliver solutions that ensure Life Is On everywhere, for everyone and at every moment:

Great people make Schneider Electric a great company.

What do you get to do in this position?

The Reporting Analyst will provide rapid solutions to the organization giving them data insights through a process of continuous discovery and will work with a wide range of solutions and technologies applicable to the current environment using data visualizers, data transformational tools, native reporting tools within applications, Machine Learning etc. The analyst will develop, maintain, and improve data delivery through the North America (NAM) Data Warehouse platforms. The right person in this role will support overall improvements in data architecture, metric definition and agile processes to support business data and analytical initiative and continuously monitor developments within the broad area of Analytics and look for opportunities to apply them to the company and department goals.

Skills and Responsibility:

·Command of advanced SQL queries and programming

·Strong Tableau data visualization skills (2-year experience preferred) with advanced-level skills with action filters, user filters, advanced navigation techniques, Level-of-Detail (LOD) expressions, and table calculations.

·Manage various databases and ETL tools to extract and manipulate data from disparate sources e.g.: SQL Server, MySQL, Oracle, Redshift, Alteryx, and SSIS.

·Incorporate Agile methodologies to identify opportunities for continuous improvement.

·Perform detailed data analysis (i.e. determine the structure, content, and quality of the data through examination of source systems and data samples)

·Operate with Data Warehouse team to develop data models and other structures to enable fast and easy business user access to data.

·Gather and Analyze requirements while working with business to develop- “executive”, “management”, and “team” data analytics.

·Analyze multiple data sources for possible consolidation in common reporting database to ensure data integrity.

·Explore data models, flows and business logic behind ERP, CRM, and other systems to bring knowledge to data warehouse and analyst teams.

·Work collaboratively with Business Systems Analysts, Business Data Stewards and/or directly with key business users to ensure data quality, business requirements and dashboard KPIs are documented accurately and completely.

Competencies:

·Ability to work independently yet collaborates cross-functionally in a team environment.

·The ability to make the connection between the technology and the business application use of it. You need to be able to approach report/dashboard design from the perspective of the business user.

·The ability to adapt to rapidly changing priorities in a positive manner.

·The ability to take a consultative approach during request intake and iterations. Our internal clients have varying degrees of intimacy with their data. Should be able to interpret what solutions to provide, based on the questions asked.

·Strong customer services skills, and ability to remain calm and positive in a fast-paced environment.

·Confident with learning new tools, technologies, and methodologies

·Excellent communication and follow up – Important to keep all stakeholders updated on the status of requests and to adjust expectations as needed.

·Excellent interpersonal skills, ability to build strong relationships with internal clients, and a successful track record of collaboration toward achieving objectives.

·Strong analytical, quantitative, problem solving, and organizational skills; attention to detail; and ability to coordinate multiple tasks, set priorities, and meet deadlines.

Qualifications

This will be your next career if you like to:

·Collaborate with team members with a flexible approach to conceptualize, design, and deliver enterprise and departmental data solutions to support business intelligence, data warehousing, reporting requirements.

·Translate business requirements into data pipelines and data stores to support business needs.

·Create visualizations using Business Intelligence tools like Tableau, in application reporting services and ETL Tools like Alteryx, SSIS

·Work with Data and Solution Architects to define and implement migration strategies from legacy systems to cloud architecture and technologies.

·Automation, standardization, optimization and delivery of our solutions with focus on data integrity and governance.

·Share a passion for Machine Learning and Predictive Analytics

Qualifications:

The right candidate will have the following capabilities and experience:

·Bachelor’s degree, preferably with a concentration in Information Systems, Data Analytics, Computer Science, Engineering.

·5+ years relevant experience in Reporting and Analytics

·Supply Chain/Manufacturing experience is a plus.

·Experience partnering with client-facing teams to understand client needs and translate them to technical requirements.

·Experience with data modeling, data integration, working with disparate data sources, relational databases and developing visualizations using tools like Tableau, Alteryx etc.

·Nice to have: Experience with Python, Cloud technologies like Databricks, AWS etc.

Schedule:
Full-time
Req:
0090CK